README
summaries of papers on deep learning.
- [Week-1] 15-Oct-2017 - DL history and basics : DBN, AlexNet, VGGNet, GoogLeNet, ResNet, RNN(speech evolution)
- [Week-2] 22-Oct-2017 - DL methods : models, optimization, deep generative model, rnn/seq-to-seq model
- [Week-3] 29-Oct-2017 - DL methods : Neural Turing Machine,Reinforcement-Transfer-One-Shot Deep Learning
- [Week-4] 06-Nov-2017 - DL applications : nlp, object detection, visual tracking, image caption
- [Week-5] 12-Nov-2017 - DL applications : Machine Translation, Robotics, Art, Object Segmentation
- [Week-6] 19-Nov-2017 - recommender systems
- [Week-7] 26-Nov-2017 - ftm : 01/2011 - 12/2014
- [Week-8] 03-Dec-2017 - ftm : 01/2015 - 12/2015
- [Week-9] 10-Dec-2017 - ftm : 01/2016 - 05/2016
- [Week-10] 17-Dec-2017 - ftm : 06/2016 - 12/2016
- [Week-11] 24-Dec-2017 - ftm : 01/2017 - 07/2017
- [Week-12] 31-Dec-2017 - ftm : 08/2017 - 12/2017
- [Jan-2018]
- [Feb-2018]
- [March-2018]
- [April-2018]
- [May-2018]
- [June-2018]
Articles
07/2019
- How Did Humans Become So Creative? A Computational Approach :star:
- Deep Learning for Spacecraft Pose Estimation from Photorealistic Rendering
- Translating neural signals to text using a Brain-Machine Interface
- SVGD: A Virtual Gradients Descent Method for Stochastic Optimization
- A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends
- Large Memory Layers with Product Keys :star:
- Large Scale Adversarial Representation Learning
- Regularizing Neural Networks for Future Trajectory Prediction via Inverse Reinforcement Learning
- Out-of-Distribution Detection Using Neural Rendering Generative Models
- City-GAN: Learning architectural styles using a custom Conditional GAN architecture
- Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds
- Listen, Attend, Spell and Adapt: Speaker Adapted Sequence-to-Sequence ASR
- A Review of Machine Learning Applications in Fuzzing
- GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering
- Machine Learning Kernel Method from a Quantum Generative Model
- A Neural Architecture for Designing Truthful and Efficient Auctions
- Fast geodesic shooting for landmark matching using CUDA
- The Role of Cooperation in Responsible AI Development
- PreCall: A Visual Interface for Threshold Optimization in ML Model Selection
- Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges
- Playing Go without Game Tree Search Using Convolutional Neural Networks
- Incrementalizing RASA's Open-Source Natural Language Understanding Pipeline
- BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs
- Making AI Forget You: Data Deletion in Machine Learning
- Explainable Machine Learning for Scientific Insights and Discoveries
- What does it mean to understand a neural network?
- Efficient Video Generation on Complex Datasets
- NPA: Neural News Recommendation with Personalized Attention
- Artificial Intelligence as a Services (AI-aaS) on Software-Defined Infrastructure
- Gated-SCNN: Gated Shape CNNs for Semantic Segmentation
- Task Selection Policies for Multitask Learning
- Microsoft Translator at WMT 2019: Towards Large-Scale Document-Level Neural Machine Translation
- A Neural Turing~Machine for Conditional Transition Graph Modeling
- A Differentiable Programming System to Bridge Machine Learning and Scientific Computing
- OCC: A Smart Reply System for Efficient In-App Communications
- A Survey of Data Quality Measurement and Monitoring Tools
- User-Interactive Machine Learning Model for Identifying Structural Relationships of Code Features
- ELG: An Event Logic Graph
- CraftAssist: A Framework for Dialogue-enabled Interactive Agents
- HAKE: Human Activity Knowledge Engine
- Probing Neural Network Comprehension of Natural Language Arguments
- Beyond Imitation: Generative and Variational Choreography via Machine Learning
- HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips :star:
- Deep-SLAM++: Object-level RGBD SLAM based on class-specific deep shape priors
- Compositional Deep Learning
- SentiMATE: Learning to play Chess through Natural Language Processing
- Convolutional Reservoir Computing for World Models
- Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches
- SlugBot: Developing a Computational Model andFramework of a Novel Dialogue Genre
- Optuna: A Next-generation Hyperparameter Optimization Framework :star:
- Speech2Face: Learning the Face Behind a Voice
- Semi-parametric Object Synthesis
- INS: An Interactive Chinese News Synthesis System
- Green AI :star:
- AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence
- U4D: Unsupervised 4D Dynamic Scene Understanding
- How to Manipulate CNNs to Make Them Lie: the GradCAM Case
- SlimYOLOv3: Narrower, Faster and Better for Real-Time UAV Applications
- Artificial Intelligence as Structural Estimation: Economic Interpretations of Deep Blue, Bonanza, and AlphaGo
- RoBERTa: A Robustly Optimized BERT Pretraining Approach
- Benchmarking TPU, GPU, and CPU Platforms for Deep Learning
- Towards AutoML in the presence of Drift: first results
- RNNbow: Visualizing Learning via Backpropagation Gradients in Recurrent Neural Networks
- ERNIE 2.0: A Continual Pre-training Framework for Language Understanding
- Deep Reinforcement Learning for Personalized Search Story Recommendation
- FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation
- Towards meta-learning for multi-target regression problems
- A Benchmark on Tricks for Large-scale Image Retrieval
06/2019
- Tackling Climate Change with Machine Learning :star:
- Mesh R-CNN
- Does Object Recognition Work for Everyone?
- Energy and Policy Considerations for Deep Learning in NLP
- An Introduction to Variational Autoencoders
- Text-based Editing of Talking-head Video
- A Multi-Pass GAN for Fluid Flow Super-Resolution
- IoT Network Security from the Perspective of Adversarial Deep Learning
- Deep learning for image segmentation-a short survey
- On the Realization of Compositionality in Neural Networks
- Butterfly Transform: An Efficient FFT Based Neural Architecture Design
- Automated Machine Learning: State-of-The-Art and Open Challenges
- Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise
- Automated Machine Learning with Monte-Carlo Tree Search (Extended Version)
- Explain Yourself! Leveraging Language Models for Commonsense Reasoning
- Automatic Reparameterisation of Probabilistic Programs
- Modeling e-Learners' Cognitive and Metacognitive Strategy in Comparative Question Solving
- Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach
- KERMIT: Generative Insertion-Based Modeling for Sequences :star:
- Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
- Monotonic Infinite Lookback Attention for Simultaneous Machine Translation
- Is Deep Learning an RG Flow?
- What Does BERT Look At? An Analysis of BERT's Attention
- Quantizing deep convolutional networks for efficient inference: A whitepaper
- What Kind of Language Is Hard to Language-Model?
- Open Sesame: Getting Inside BERT's Linguistic Knowledge
- NAS-FCOS: Fast Neural Architecture Search for Object Detection
- DCEF: Deep Collaborative Encoder Framework for Unsupervised Clustering
- Continual and Multi-Task Architecture Search
- The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation
- Hierarchical Imitation and Reinforcement Learning
- Jacobian Policy Optimizations
- Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards
- A Bayesian Perspective on the Deep Image Prior
- COMET: Commonsense Transformers for Automatic Knowledge Graph Construction
- Topology-Preserving Deep Image Segmentation
- The Replica Dataset: A Digital Replica of Indoor Spaces
- Learning from Dialogue after Deployment: Feed Yourself, Chatbot!
- Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions
- Butterfly Transform: An Efficient FFT Based Neural Architecture Design
- A Survey on Deep Learning Architectures for Image-based Depth Reconstruction
- Neural Spline Flows
- NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language
- Deep learning for molecular design - a review of the state of the art
- Kernelized Capsule Networks
- Unsupervised Representation Learning of DNA Sequences
- Image Captioning: Transforming Objects into Words
- Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving
- Copy and Paste: A Simple But Effective Initialization Method for Black-Box Adversarial Attacks
- Fast Calculation of Probabilistic Power Flow: A Model-based Deep Learning Approach
- Machine Learning Approach to Earthquake Rupture Dynamics
- Stand-Alone Self-Attention in Vision Models
- Inverse Cooking: Recipe Generation from Food Images
- Large Scale Structure of Neural Network Loss Landscapes
- Generative Adversarial Networks: A Survey and Taxonomy :star:
- Accelerating Neural ODEs with Spectral Elements
- Human Side of Tesla Autopilot: Exploration of Functional Vigilance in Real-World Human-Machine Collaboration
- Stand-Alone Self-Attention in Vision Models
- Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation
- Image-based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era
- Search on the Replay Buffer: Bridging Planning and Reinforcement Learning
- MMDetection: Open MMLab Detection Toolbox and Benchmark
- Task Agnostic Continual Learning via Meta Learning
- Show, Match and Segment: Joint Learning of Semantic Matching and Object Co-segmentation
- The Replica Dataset: A Digital Replica of Indoor Spaces
- XLNet: Generalized Autoregressive Pretraining for Language Understanding [code] :star:
- Weight Agnostic Neural Networks
- Model Compression by Entropy Penalized Reparameterization
- Analyzing the Structure of Attention in a Transformer Language Model
- PyRobot: An Open-source Robotics Framework for Research and Benchmarking :star:
- Explaining Reinforcement Learning to Mere Mortals: An Empirical Study
- EVDodge: Embodied AI For High-Speed Dodging On A Quadrotor Using Event Cameras
- Federated Learning for Emoji Prediction in a Mobile Keyboard
- Neural Volumes: Learning Dynamic Renderable Volumes from Images
- Discovery of Physics from Data: Universal Laws and Discrepancy Models
- Prune and Replace NAS
- The Functional Neural Process
- StoryGAN: A Sequential Conditional GAN for Story Visualization
- Large Scale Structure of Neural Network Loss Landscapes
- Coupled Graph Neural Networks for Predicting the Popularity of Online Content
- PaperRobot: Incremental Draft Generation of Scientific Ideas
- Meta-learning of textual representations
- Deep Set Prediction Networks
- Modern Deep Reinforcement Learning Algorithms
- Machine Learning Phase Transitions with a Quantum Processor
- ORRB -- OpenAI Remote Rendering Backend
- Inducing Syntactic Trees from BERT Representations
- We Need No Pixels: Video Manipulation Detection Using Stream Descriptors
- End-to-End Visual Speech Recognition for Small-Scale Datasets
- Eliciting Knowledge from Experts:Automatic Transcript Parsing for Cognitive Task Analysis
- A Power Efficient Artificial Neuron Using Superconducting Nanowires :star:
05/2019
- AI Feynman: a Physics-Inspired Method for Symbolic Regression :star:
- Defending Against Neural Fake News
- EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks [EfficientNet-PyTorch] :star:
- Graph Representations for Higher-Order Logic and Theorem Proving
- Speech2Face: Learning the Face Behind a Voice
- VQVAE Unsupervised Unit Discovery and Multi-scale Code2Spec Inverter for Zerospeech Challenge 2019
- Multi-Modal Graph Interaction for Multi-Graph Convolution Network in Urban Spatiotemporal Forecasting
- Video-to-Video Translation for Visual Speech Synthesis
- Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction
- PyTorch-BigGraph: A Large-scale Graph Embedding System :star:
- Trust but Verify: An Information-Theoretic Explanation for the Adversarial Fragility of Machine Learning Systems, and a General Defense against Adversarial Attacks
- Provably Powerful Graph Networks
- Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network
- Pre-training Graph Neural Networks
- Unsupervised Learning from Video with Deep Neural Embeddings
- Discrete Infomax Codes for Meta-Learning
- Few-Shot Adversarial Learning of Realistic Neural Talking Head Models :star:
- Neural Path Planning: Fixed Time, Near-Optimal Path Generation via Oracle Imitation
- Adversarial Examples Are Not Bugs, They Are Features
- On Variational Bounds of Mutual Information
- How Does Batch Normalization Help Optimization?
- Solving NP-Hard Problems on Graphs by Reinforcement Learning without Domain Knowledge
- Object Discovery with a Copy-Pasting GAN
- Towards Neural Decompilation
- Multi-Sample Dropout for Accelerated Training and Better Generalization
- Discrete Flows: Invertible Generative Models of Discrete Data
- Kervolutional Neural Networks
- Deep Scale-spaces: Equivariance Over Scale
- Unified Language Model Pre-training for Natural Language Understanding and Generation
- Graph Matching Networks for Learning the Similarity of Graph Structured Objects
- Embedding Human Knowledge in Deep Neural Network via Attention Map
- The Information Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Models
- Object Detection in 20 Years: A Survey :star:
- Brain-mediated Transfer Learning of Convolutional Neural Networks
- Evolving Rewards to Automate Reinforcement Learning
- FastSpeech: Fast, Robust and Controllable Text to Speech
- MixMatch: A Holistic Approach to Semi-Supervised Learning
- Magic: The Gathering is Turing Complete
- SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver [code]
- MASS: Masked Sequence to Sequence Pre-training for Language Generation
- Challenges of Real-World Reinforcement Learning
- Meta reinforcement learning as task inference
- Accelerating Proposal Generation Network for \Fast Face Detection on Mobile Devices
- Go-Explore: a New Approach for Hard-Exploration Problems
- Finding Friend and Foe in Multi-Agent Games
- CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
- RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point cloud
- Examining Structure of Word Embeddings with PCA
- Defending Against Neural Fake News
- Graph WaveNet for Deep Spatial-Temporal Graph Modeling
- Consensus Clustering: An Embedding Perspective, Extension and Beyond
- RAPID: Early Classification of Explosive Transients using Deep Learning
04/2019
- A Systematic Literature Review about the impact of Artificial Intelligence on Autonomous Vehicle Safety
- Analysing Mathematical Reasoning Abilities of Neural Models. https://arxiv.org/pdf/1904.01557v1.pdf deepmind/mathematics_dataset
- Libra R-CNN: Towards Balanced Learning for Object Detection
- YOLACT: Real-time Instance Segmentation
- Advancing NLP with Cognitive Language Processing Signals
- Visualizing Attention in Transformer-Based Language models
- Recommendations for Datasets for Source Code Summarization
- An End-to-End Baseline for Video Captioning
- BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis
- Hyperbolic Image Embeddings
- PaintBot: A Reinforcement Learning Approach for Natural Media Painting
- Reducing BERT Pre-Training Time from 3 Days to 76 Minutes
- DAGCN: Dual Attention Graph Convolutional Networks
- T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor
- Computational Imaging for VLBI Image Reconstruction (2016) :star:
- AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning
- Deep-Sentiment: Sentiment Analysis Using Ensemble of CNN and Bi-LSTM Models
- ASAP: Architecture Search, Anneal and Prune
- Revisiting EmbodiedQA: A Simple Baseline and Beyond
- Accelerated Neural Networks on OpenCL Devices Using SYCL-DNN
- A Closer Look at Few-shot Classification
- Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout
- Streamlined Dense Video Captioning
- Analysing Mathematical Reasoning Abilities of Neural Models
- DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis
- Density Matching for Bilingual Word Embedding
- Characterizing the Social Interactions in the Artificial Bee Colony Algorithm
- MOTS: Multi-Object Tracking and Segmentation
- From Coarse to Fine: Robust Hierarchical Localization at Large Scale
- Transferring Knowledge Fragments for Learning Distance Metric from A Heterogeneous Domain
- Meta Filter Pruning to Accelerate Deep Convolutional Neural Networks
- Sampling, Intervention, Prediction, Aggregation: A Generalized Framework for Model Agnostic Interpretations
- Feature Learning Viewpoint of AdaBoost and a New Algorithm
- Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation [code]
- A Selective Overview of Deep Learning
- Pun Generation with Surprise :star:
- Unsupervised Recurrent Neural Network Grammars
- Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation
- Tutorial: Safe and Reliable Machine Learning
- A Discussion on Solving Partial Differential Equations using Neural Networks
- Reinforcement Learning with Probabilistic Guarantees for Autonomous Driving
- PruneTrain: Fast Neural Network Training by Dynamic Sparse Model Reconfiguration
- Recurrent Neural Network for (Un-)supervised Learning of Monocular VideoVisual Odometry and Depth
- Optimising Trotter-Suzuki Decompositions for Quantum Simulation Using Evolutionary Strategies
- A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms
- The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent
- On the Performance of Differential Evolution for Hyperparameter Tuning
- GraphTSNE: A Visualization Technique for Graph-Structured Data
- Learning Not to Learn: Training Deep Neural Networks with Biased Data
- Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization
- An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search
- Plan, Write, and Revise: an Interactive System for Open-Domain Story Generation
- Precise Detection in Densely Packed Scenes
- Deep neural networks can predict mortality from 12-lead electrocardiogram voltage data
- Self-critical n-step Training for Image Captioning
- Pedestrian Detection in Thermal Images using Saliency Maps
- Mini-batch Serialization: CNN Training with Inter-layer Data Reuse
- ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging
- Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces
- Fooling automated surveillance cameras: adversarial patches to attack person detection
- Unsupervised Part-Based Disentangling of Object Shape and Appearance
- Natural Language Interactions in Autonomous Vehicles: Intent Detection and Slot Filling from Passenger Utterances
- A General Neural Network Architecture for Persistence Diagrams and Graph Classification
- Mercator: uncovering faithful hyperbolic embeddings of complex networks
- Data Cleaning for Accurate, Fair, and Robust Models: A Big Data - AI Integration Approach
- The Use of Unlabeled Data versus Labeled Data for Stopping Active Learning for Text Classification
- Variational approach to unsupervised learning
- A Novel Re-weighting Method for Connectionist Temporal Classification
- Language Models with Transformers
- LBS Autoencoder: Self-supervised Fitting of Articulated Meshes to Point Clouds
- Text Classification Algorithms: A Survey
- The Trajectron: Probabilistic Multi-Agent Trajectory Modeling with Dynamic Spatiotemporal Graphs
- Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
- The MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors
- Neural Logic Reinforcement Learning
- Segmenting the Future
- Holistic Large Scale Video Understanding
- Understanding the Behaviors of BERT in Ranking
- Machine learning for long-distance quantum communication
- Attention Augmented Convolutional Networks
- Assessing the Tolerance of Neural Machine Translation Systems Against Speech Recognition Errors
- Differentiable Pruning Method for Neural Networks
- BERTScore: Evaluating Text Generation with BERT [code]
- Out of the Box: A combined approach for handling occlusion in Human Pose Estimation
- RepPoints: Point Set Representation for Object Detection
- Generated Loss, Augmented Training, and Multiscale VAE
- Latent Variable Algorithms for Multimodal Learning and Sensor Fusion
- Unsupervised Deep Learning by Neighbourhood Discovery
- Unsupervised Data Augmentation
- HIGAN: Cosmic Neutral Hydrogen with Generative Adversarial Networks
- Dynamic Demand Prediction for Expanding Electric Vehicle Sharing Systems
- Aequitas: A Bias and Fairness Audit Toolkit
- Beyond Gradient Descent for Regularized Segmentation Losses
- A Review of Modularization Techniques in Artificial Neural Networks
- Localization, Detection and Tracking of Multiple Moving Sound Sources with a Convolutional Recurrent Neural Network
- Progressive Differentiable Architecture Search: Bridging the Depth Gap between Search and Evaluation
- DAC: The Double Actor-Critic Architecture for Learning Options
- Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications Outside Coverage
- Adversarial Examples: Opportunities and Challenges
- Provable limitations of deep learning :star:
- Evaluating Recurrent Neural Network Explanations
- Teaching AI, Ethics, Law and Policy
- Challenges and Pitfalls of Reproducing Machine Learning Artifacts
- Generating Artificial Data for Private Deep Learning
- Exploring Urban Air Quality with MAPS: Mobile Air Pollution Sensing
- Hierarchical Recurrent Neural Network for Video Summarization
- On Exact Computation with an Infinitely Wide Neural Net :star:
- Probing What Different NLP Tasks Teach Machines about Function Word Comprehension
- Knowing When to Stop: Evaluation and Verification of Conformity to Output-size Specifications
- Wave Physics as an Analog Recurrent Neural Network
- TVQA+: Spatio-Temporal Grounding for Video Question Answering
- VideoBERT: A Joint Model for Video and Language Representation Learning
03/2019
- Predicting Research Trends From Arxiv
- Asynchronous Federated Optimization
- Improving Transparency of Deep Neural Inference Process
- GNN Explainer: A Tool for Post-hoc Explanation of Graph Neural Networks
- Unsupervised Discovery of Parts, Structure, and Dynamics
- Continual Learning via Neural Pruning
- Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data
- Hyperdrive: A Multi-Chip Systolically Scalable Binary-Weight CNN Inference Engine
- High-Throughput CNN Inference on Embedded ARM big.LITTLE Multi-Core Processors
- Survey of Text-based Epidemic Intelligence: A Computational Linguistic Perspective
- AutoML @ NeurIPS 2018 challenge: Design and Results
- MILDNet: A Lightweight Single Scaled Deep Ranking Architecture
- AI2-THOR: An Interactive 3D Environment for Visual AI
- VRKitchen: an Interactive 3D Virtual Environment for Task-oriented Learning
- Natural Language Interaction with Explainable AI Models
- Rectified Decision Trees: Towards Interpretability, Compression and Empirical Soundness
- Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning
- Lipschitz Generative Adversarial Nets
- Scalable Facial Image Compression with Deep Feature Reconstruction
- AgriColMap: Aerial-Ground Collaborative 3D Mapping for Precision Farming
- MirrorGAN: Learning Text-to-image Generation by Redescription
- A Deep Patent Landscaping Model using Transformer and Graph Convolutional Network
- MILDNet: A Lightweight Single Scaled Deep Ranking Architecture
- Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning
- Reinforcement Learning and Inverse Reinforcement Learning with System 1 and System 2
- Cleaning tasks knowledge transfer between heterogeneous robots: a deep learning approach
- Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis [code]
- RVOS: End-to-End Recurrent Network for Video Object Segmentation [code]
- Improving Transparency of Deep Neural Inference Process
- Visual Semantic Information Pursuit: A Survey
- Assessing Generalization in Deep Reinforcement Learning
- On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models
- Policy Distillation and Value Matching in Multiagent Reinforcement Learning
- Selective Kernel Networks
- Neuromorphic Hardware learns to learn
- DeepHuman: 3D Human Reconstruction from a Single Image
- Benchmarking Natural Language Understanding Services for building Conversational Agents
- A Context-Aware Citation Recommendation Model with BERT and Graph Convolutional Networks
- BLVD: Building A Large-scale 5D Semantics Benchmark for Autonomous Driving
- Enabling Spike-based Backpropagation in State-of-the-art Deep Neural Network Architectures
- A Multi-Agent Off-Policy Actor-Critic Algorithm for Distributed Reinforcement Learning
- ROS2Learn: a reinforcement learning framework for ROS 2
- Show, Translate and Tell
- Improving Neural Architecture Search Image Classifiers via Ensemble Learning
- Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognition
- Autoregressive Models for Sequences of Graphs
- Human Activity Recognition for Edge Devices
- EV-IMO: Motion Segmentation Dataset and Learning Pipeline for Event Cameras
- Interpretable Deep Learning in Drug Discovery
- Bilinear Representation for Language-based Image Editing Using Conditional Generative Adversarial Networks
- Communication-Efficient Federated Deep Learning with Asynchronous Model Update and Temporally Weighted Aggregation
- Neutron: An Implementation of the Transformer Translation Model and its Variants
- Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration
- Beyond Turing: Intelligent Agents Centered on the User
- Deep Reinforcement Learning with Feedback-based Exploration
- Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly
- The Missing Ingredient in Zero-Shot Neural Machine Translation
- Responses to a Critique of Artificial Moral Agents
- Inserting Videos into Videos
- Learning Correspondence from the Cycle-Consistency of Time
- Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set
- CoCoNet: A Collaborative Convolutional Network
- A Principled Approach for Learning Task Similarity in Multitask Learning
- Memorable Maps: A Framework for Re-defining Places in Visual Place Recognition
- Learning to Caption Images through a Lifetime by Asking Questions
- Megapixel Photon-Counting Color Imaging using Quanta Image Sensor
- Recent advances in conversational NLP : Towards the standardization of Chatbot building
- Localization of Unmanned Aerial Vehicles in Corridor Environments using Deep Learning
- Learning Multi-Level Information for Dialogue Response Selection by Highway Recurrent Transformer
- Dynamic Power Management for Neuromorphic Many-Core Systems
- Towards Characterizing Divergence in Deep Q-Learning
- Understanding Convolutional Neural Networks with Information Theory: An Initial Exploration
- LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving
- A Graph-structured Dataset for Wikipedia Research
- Artificial Intelligence : from Research to Application ; the Upper-Rhine Artificial Intelligence Symposium (UR-AI 2019)
- Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML
- Machine Learning for Data-Driven Movement Generation: a Review of the State of the Art
- A Methodology for Search Space Reduction in QoS Aware Semantic Web Service Composition
- Varifocal-Net: A Chromosome Classification Approach using Deep Convolutional Networks
- Generative Models For Deep Learning with Very Scarce Data
- Progressive Sparse Local Attention for Video object detection
- Semantic Image Synthesis with Spatially-Adaptive Normalization
- Combining Model and Parameter Uncertainty in Bayesian Neural Networks
- Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction
- In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images
- IvaNet: Learning to jointly detect and segment objets with the help of Local Top-Down Modules
- Deep Models for Relational Databases
- Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 Prototype
- Natural Language Generation at Scale: A Case Study for Open Domain Question Answering
- Actor and Action Video Segmentation from a Sentence :star:
- DeepCenterline: a Multi-task Fully Convolutional Network for Centerline Extraction
- Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation
- Towards a framework for the evolution of artificial general intelligence
- On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning
- Learning-to-Learn Stochastic Gradient Descent with Biased Regularization
- Fine-tune BERT for Extractive Summarization
- Audio Caption: Listen and Tell
- MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning
- HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs
- Learning to Walk via Deep Reinforcement Learning
- Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial Networks
- Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems
- Looking Fast and Slow: Memory-Guided Mobile Video Object Detection
- Continual Learning with Tiny Episodic Memories
- Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation
- Towards Accurate Generative Models of Video: A New Metric & Challenges
- NengoDL: Combining deep learning and neuromorphic modelling methods
- Autoregressive Policies for Continuous Control Deep Reinforcement Learning
- Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems
- A Sober Look at Neural Network Initializations
- Using Monolingual Data in Neural Machine Translation: a Systematic Study
- Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools
- Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods
- StructADMM: A Systematic, High-Efficiency Framework of Structured Weight Pruning for DNNs
- GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving
- A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling
- Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning
- nuScenes: A multimodal dataset for autonomous driving
- DetNAS: Neural Architecture Search on Object Detection
- Differentiable Scene Graphs
- BUT-FIT at SemEval-2019 Task 7: Determining the Rumour Stance with Pre-Trained Deep Bidirectional Transformers
- The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation
- Random Language Model
- Extracting Success from IBM's 20-Qubit Machines Using Error-Aware Compilation
- Deep Radiomics for Brain Tumor Detection and Classification from Multi-Sequence MRI
- A Quantum Annealing-Based Approach to Extreme Clustering
- AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search
- Towards Accurate Generative Models of Video: A New Metric & Challenges
- TensorMask: A Foundation for Dense Object Segmentation
- 3D Whole Brain Segmentation using Spatially Localized Atlas Network Tiles
- Fast video object segmentation with Spatio-Temporal GANs
- Resilient Combination of Complementary CNN and RNN Features for Text Classification through Attention and Ensembling
- Deep learning for molecular generation and optimization - a review of the state of the art
- Needle in a Haystack: A Framework for Seeking Small Objects in Big Datasets
02/2019
- The Hanabi Challenge: A New Frontier for AI Research :star:
- Towards Federated Learning at Scale: System Design
- Word Embeddings for Sentiment Analysis: A Comprehensive Empirical Survey
- The Natural Language of Actions
- AlphaStar: An Evolutionary Computation Perspective :star:
- Declarative Data Analytics: a Survey
- CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning
- A Multi-Resolution Word Embedding for Document Retrieval from Large Unstructured Knowledge Bases
- Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era
- Solving The Exam Scheduling Problems in Central Exams With Genetic Algorithms
- Adaptive Gradient Refinement for Adversarial Perturbation Generation
- Computational Optimal Transport
- Parameter-Efficient Transfer Learning for NLP
- End-to-End Open-Domain Question Answering with BERTserini
- Discovering Implicational Knowledge in Wikidata
- Graph Classification with Recurrent Variational Neural Networks
- A Simple Baseline for Bayesian Uncertainty in Deep Learning
- FDDB-360: Face Detection in 360-degree Fisheye Images
- Reversible GANs for Memory-efficient Image-to-Image Translation
- Review Conversational Reading Comprehension
- Distilling Policy Distillation
- Virtual Training for a Real Application: Accurate Object-Robot Relative Localization without Calibration
- BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning
- Beholder-GAN: Generation and Beautification of Facial Images with Conditioning on Their Beauty Level
- Optimized Compilation of Aggregated Instructions for Realistic Quantum Computers :star:
- Unsupervised Data Uncertainty Learning in Visual Retrieval Systems
- Understanding Chat Messages for Sticker Recommendation in Hike Messenger
- ML Health: Fitness Tracking for Production Models
- AdaScale: Towards Real-time Video Object Detection Using Adaptive Scaling
- Towards Federated Learning at Scale: System Design
- A Comprehensive Overview of Biometric Fusion
- Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning
- Software-Defined FPGA Accelerator Design for Mobile Deep Learning Applications
- Fourier Neural Networks: A Comparative Study
- Understanding Multi-Step Deep Reinforcement Learning: A Systematic Study of the DQN Target
- ELF OpenGo: An Analysis and Open Reimplementation of AlphaZero
- Task2Vec: Task Embedding for Meta-Learning
- Dropout is a special case of the stochastic delta rule: faster and more accurate deep learning
- Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving
- TensorSCONE: A Secure TensorFlow Framework using Intel SGX
- Fast-SCNN: Fast Semantic Segmentation Network
- Peeking into the Future: Predicting Future Person Activities and Locations in Videos
- GET-AID: Visual Recognition of Human Rights Abuses via Global Emotional Traits
- Deep learning and face recognition: the state of the art
- MultiResUNet : Rethinking the U-Net Architecture for Multimodal Biomedical Image Segmentation
- NAIL: A General Interactive Fiction Agent
- Toward Unsupervised Text Content Manipulation
- Quantum Entanglement in Deep Learning Architectures :star:
- Image Processing in Quantum Computers
- ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning
- Robustness Meets Deep Learning: An End-to-End Hybrid Pipeline for Unsupervised Learning of Egomotion
- Probabilistic Neural Architecture Search
- VR-Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control
- Pseudo-extended Markov chain Monte Carlo
- Task2Vec: Task Embedding for Meta-Learning
- Deep Reinforcement Learning for Search, Recommendation, and Online Advertising: A Survey
- Multi-task learning to improve natural language understanding
- Deep Reinforcement Learning Based High-level Driving Behavior Decision-making Model in Heterogeneous Traffic
- AutoQB: AutoML for Network Quantization and Binarization on Mobile Devices
- Crime Analysis using Open Source Information
- Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions
- WaveletFCNN: A Deep Time Series Classification Model for Wind Turbine Blade Icing Detection
- GeoGAN: A Conditional GAN with Reconstruction and Style Loss to Generate Standard Layer of Maps from Satellite Images
- Video Object Segmentation using Teacher-Student Adaptation in a Human Robot Interaction (HRI) Setting
- Real-world Anomaly Detection in Surveillance Videos
- Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions
- Transfer Learning for Sequence Labeling Using Source Model and Target Data
- Experimental Implementation of a Quantum Autoencoder via Quantum Adders
- Some Interesting Features of Memristor CNN :star:
- Competitive Experience Replay
- Machine Learning on Biomedical Images: Interactive Learning, Transfer Learning, Class Imbalance, and Beyond
- Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent
- Contextual Word Representations: A Contextual Introduction
- Deep Learning for Image Super-resolution: A Survey
- Fast Efficient Hyperparameter Tuning for Policy Gradients
- Seven Myths in Machine Learning Research
- WIDER Face and Pedestrian Challenge 2018: Methods and Results
- Towards Explainable AI: Significance Tests for Neural Networks
- Investigating Generalisation in Continuous Deep Reinforcement Learning
- CrossNorm: Normalization for Off-Policy TD Reinforcement Learning
- Depthwise Convolution is All You Need for Learning Multiple Visual Domains
- CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model
- Parenting: Safe Reinforcement Learning from Human Input
- Learned In Speech Recognition: Contextual Acoustic Word Embeddings
- Using Machine Learning to Guide Cognitive Modeling: A Case Study in Moral Reasoning
- Towards Hardware Implementation of Neural Network-based Communication Algorithms
- Language Models are Unsupervised Multitask Learners [code] :star:
- SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch and Color
- Random Search and Reproducibility for Neural Architecture Search
- ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing
- Transfusion: Understanding Transfer Learning with Applications to Medical Imaging
- An Autoencoder-based Learned Image Compressor: Description of Challenge Proposal by NCTU
- Video Face Recognition: Component-wise Feature Aggregation Network (C-FAN)
- POINTCLEANNET: Learning to Denoise and Remove Outliers from Dense Point Clouds
- Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent
- GSLAM: A General SLAM Framework and Benchmark
- The Devil is in the Decoder: Classification, Regression and GANs
- Going Deeper in Spiking Neural Networks: VGG and Residual Architectures
- Towards Real-time Eyeblink Detection in The Wild:Dataset,Theory and Practices
- Cloud-Based Autonomous Indoor Navigation: A Case Study
- Visualizing the Loss Landscape of Neural Nets
- Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection
- Using Machine Learning to Guide Cognitive Modeling: A Case Study in Moral Reasoning
- Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank
- Perceptual Quality-preserving Black-Box Attack against Deep Learning Image Classifiers
- Innateness, AlphaZero, and Artificial Intelligence
- Universal Deep Neural Network Compression
- Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey
- Deep Reinforcement Learning Based High-level Driving Behavior Decision-making Model in Heterogeneous Traffic
- Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer
- Multimodal Grounding for Sequence-to-Sequence Speech Recognition
- A Joint Deep Learning Approach for Automated Liver and Tumor Segmentation
- Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge
- Evaluating the Search Phase of Neural Architecture Search
- Topology of Learning in Artificial Neural Networks
- Evolutionary Neural AutoML for Deep Learning
- Simplifying Graph Convolutional Networks
- Adversarial Generation of Time-Frequency Features with application in audio synthesis
- Latent Translation: Crossing Modalities by Bridging Generative Models
- Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling :star:
- E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction
- Online Multi-Object Tracking with Instance-Aware Tracker and Dynamic Model Refreshment
- Comparison of Deep Neural Networks and Deep Hierarchical Models for Spatio-Temporal Data
- Distributionally Robust Reinforcement Learning
- The Multi-Lane Capsule Network (MLCN)
- Liability, Ethics, and Culture-Aware Behavior Specification using Rulebooks
- Pretraining-Based Natural Language Generation for Text Summarization
- GANSynth: Adversarial Neural Audio Synthesis
- Latent Translation: Crossing Modalities by Bridging Generative Models
- Scalable Hyperbolic Recommender Systems
- Dual Attention Networks for Visual Reference Resolution in Visual Dialog
- Improving Robustness of Machine Translation with Synthetic Noise
- A Survey of Crowdsourcing in Medical Image Analysis
- A large annotated medical image dataset for the development and evaluation of segmentation algorithms
- FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation
- DDFlow: Learning Optical Flow with Unlabeled Data Distillation
- Artificial Intelligence for Prosthetics - challenge solutions
- Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era
- NAS-Bench-101: Towards Reproducible Neural Architecture Search
- Diagnosing Bottlenecks in Deep Q-learning Algorithms
- TraVeLGAN: Image-to-image Translation by Transformation Vector Learning
- Data augmentation using learned transforms for one-shot medical image segmentation
- Multi-Scale Quasi-RNN for Next Item Recommendation
- Efficient Learning for Deep Quantum Neural Networks
- Social Credibility Incorporating Semantic Analysis and Machine Learning: A Survey of the State-of-the-Art and Future Research Directions
- Adaptive Caching via Deep Reinforcement Learning
- TensorMap: Lidar-Based Topological Mapping and Localization via Tensor Decompositions
- Coloring Big Graphs with AlphaGoZero :star:
- An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models :star:
- The Termination Critic
- How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection
- Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies
- DeepLO: Geometry-Aware Deep LiDAR Odometry
- Improving Missing Data Imputation with Deep Generative Models
- Accelerating Self-Play Learning in Go
- Reducing Artificial Neural Network Complexity: A Case Study on Exoplanet Detection
- Learning to See the Wood for the Trees: Deep Laser Localization in Urban and Natural Environments on a CPU
- Attention is not Explanation
- Implicit Kernel Learning
- Architecting Dependable Learning-enabled Autonomous Systems: A Survey
- On Constrained Open-World Probabilistic Databases
- Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning
- Learning to Generate Questions by Learning What not to Generate
- Domain-Constrained Advertising Keyword Generation
- Multilingual Neural Machine Translation with Knowledge Distillation
- StyleRemix: An Interpretable Representation for Neural Image Style Transfer
- Provable Guarantees for Gradient-Based Meta-Learning
- Deep Adversarial Network Alignment
- Multi-task hypernetworks
- Atomistic structure learning
01/2019
- Theory of Minds: Understanding Behavior in Groups Through Inverse Planning
- A Comprehensive Survey on Graph Neural Networks
- Face Recognition: A Novel Multi-Level Taxonomy based Survey
- DeepTraffic: Crowdsourced Hyperparameter Tuning of Deep Reinforcement Learning Systems for Multi-Agent Dense Traffic Navigation [code]
- Optimal Decision-Making in Mixed-Agent Partially Observable Stochastic Environments via Reinforcement Learning
- Floyd-Warshall Reinforcement Learning: Learning from Past Experiences to Reach New Goals
- A Critical Investigation of Deep Reinforcement Learning for Navigation
- Adversarial Examples versus Cloud-based Detectors: A Black-box Empirical Study
- Sheaves: A Topological Approach to Big Data
- AVA-ActiveSpeaker: An Audio-Visual Dataset for Active Speaker Detection
- Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning
- Text2Scene: Generating Compositional Scenes from Textual Descriptions
- Addressing Objects and Their Relations: The Conversational Entity Dialogue Model
- Designing for Democratization: Introducing Novices to Artificial Intelligence Via Maker Kits
- Elimination of All Bad Local Minima in Deep Learning
- Location-Centered House Price Prediction: A Multi-Task Learning Approach
- Credit Assignment Techniques in Stochastic Computation Graphs
- Human Pose Estimation with Spatial Contextual Information
- Generative Adversarial Networks for Financial Trading Strategies Fine-Tuning and Combination
- Multi-Objective Reinforced Evolution in Mobile Neural Architecture Search
- Quaternion Recurrent Neural Networks
- Ten ways to fool the masses with machine learning
- Unrepresentative video data: A review and evaluation
- Automated Pruning for Deep Neural Network Compression
- Learning Combinations of Activation Functions
- Bandwidth Reduction using Importance Weighted Pruning on Ring AllReduce
- Exploring applications of deep reinforcement learning for real-world autonomous driving systems :star:
- RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials
- Gauges, Loops, and Polynomials for Partition Functions of Graphical Models
- Channel Locality Block: A Variant of Squeeze-and-Excitation
- What Should I Do Now? Marrying Reinforcement Learning and Symbolic Planning
- Transferable Adversarial Attacks for Image and Video Object Detection
- LanczosNet: Multi-Scale Deep Graph Convolutional Networks
- Rethinking the Artificial Neural Networks: A Mesh of Subnets with a Central Mechanism for Storing and Predicting the Data
- Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud
- The ISTI Rapid Response on Exploring Cloud Computing 2018
- FIGR: Few-shot Image Generation with Reptile
- Multi-stream CNN based Video Semantic Segmentation for Automated Driving
- Multi-style Generative Reading Comprehension
- GILT: Generating Images from Long Text
- On the Capabilities and Limitations of Reasoning for Natural Language Understanding
- Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
- Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera
- Choosing the Right Word: Using Bidirectional LSTM Tagger for Writing Support Systems
- The Lingering of Gradients: How to Reuse Gradients over Time
- Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks
- Asteroids Detection Technique: Classic "Blink" An Automated Approch
- Machine learning topological phases in real space
- Dirichlet Variational Autoencoder
- Recurrent Control Nets for Deep Reinforcement Learning
- Spherical CNNs on Unstructured Grids
- Risk-Aware Active Inverse Reinforcement Learning
- Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks
- An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents
- Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation
- Revealing interpretable object representations from human behavior
- Deep Learning for Human Affect Recognition: Insights and New Developments
- Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context [code]
- Exploring Weight Symmetry in Deep Neural Networks
- Variable Importance Clouds: A Way to Explore Variable Importance for the Set of Good Models
- Motion Perception in Reinforcement Learning with Dynamic Objects
- Brief Review of Computational Intelligence Algorithms :star:
- PVSS: A Progressive Vehicle Search System for Video Surveillance Networks
- Learning Face Age Progression: A Pyramid Architecture of GANs
- Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications
- PFML-based Semantic BCI Agent for Game of Go Learning and Prediction
- Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation
- Accelerated Flow for Probability distributions
- On Finding Gray Pixels
- RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free
- Motion Perception in Reinforcement Learning with Dynamic Objects
- Deep Learning for Anomaly Detection: A Survey
- An investigation of model-free planning
- Dialog System Technology Challenge 7
- On Event Causality Detection in Tweets
- A Biologically Inspired Visual Working Memory for Deep Networks
- Agent-Agnostic Human-in-the-Loop Reinforcement Learning :star:
- Learning Pairwise Relationship for Multi-object Detection in Crowded Scenes
- Using Scene Graph Context to Improve Image Generation
- Real-time Joint Object Detection and Semantic Segmentation Network for Automated Driving
- Summarization and Visualization of Large Volumes of Broadcast Video Data
- Trace-back Along Capsules and Its Application on Semantic Segmentation
- LiFF: Light Field Features in Scale and Depth
- Human few-shot learning of compositional instructions
- Self-Supervised Deep Active Accelerated MRI
- Deep Fusion: An Attention Guided Factorized Bilinear Pooling for Audio-video Emotion Recognition
- Toward Explainable Fashion Recommendation
- A Tweet Dataset Annotated for Named Entity Recognition and Stance Detection
- DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
- Transfer Learning for Prosthetics Using Imitation Learning
- Approaching Ethical Guidelines for Data Scientists
- Identifying and Correcting Label Bias in Machine Learning
- Low Precision Constant Parameter CNN on FPGA
- Global-to-local Memory Pointer Networks for Task-Oriented Dialogue
- Tango: A Deep Neural Network Benchmark Suite for Various Accelerators
- Fair and Unbiased Algorithmic Decision Making: Current State and Future Challenges
- AutoPhase: Compiler Phase-Ordering for High Level Synthesis with Deep Reinforcement Learning
- The Limitations of Adversarial Training and the Blind-Spot Attack
- ALiPy: Active Learning in Python
- Hybrid Recommender Systems: A Systematic Literature Review
- Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding
- Recombination of Artificial Neural Networks
- Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
- A deep learning approach to solar-irradiance forecasting in sky-videos
- Interpretable machine learning: definitions, methods, and applications
- Cascade Decoder: A Universal Decoding Method for Biomedical Image Segmentation
- TensorFlow.js: Machine Learning for the Web and Beyond
- Attentive Neural Processes :star:
- Convolutional Neural Networks combined with Runge-Kutta Methods
- Learning from Dialogue after Deployment: Feed Yourself, Chatbot!
- Virtual-to-Real-World Transfer Learning for Robots on Wilderness Trails
- VR-Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control
- AuxNet: Auxiliary tasks enhanced Semantic Segmentation for Automated Driving
- Artificial Neural Networks
- Applying SVGD to Bayesian Neural Networks for Cyclical Time-Series Prediction and Inference
- Assessing BERT's Syntactic Abilities
- EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale Neural Architecture Search
- UltraCompression: Framework for High Density Compression of Ultrasound Volumes using Physics Modeling Deep Neural Networks
- Primitive-based 3D Building Modeling, Sensor Simulation, and Estimation
- The Oracle of DLphi
- Recent Advances in Autoencoder-Based Representation Learning
- Towards Building the Semantic Map from a Monocular Camera with a Multi-task Network
- DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
- Auto-Retoucher(ART) - A framework for Background Replacement and Image Editing
- Ensemble Feature for Person Re-Identification
- Machine Learning Techniques for Brand-Influencer Matchmaking on the Instagram Social Network
- Predicting Variable Types in Dynamically Typed Programming Languages
- Light-Field for RF
- Passage Re-ranking with BERT
- Learning to Design Circuits
- Video-Based Pedestrian Attribute Recognition
- Genetic Algorithms and the Traveling Salesman Problem a historical Review
- Evolving embodied intelligence from materials to machines
- CodeX: Bit-Flexible Encoding for Streaming-based FPGA Acceleration of DNNs
- Survey of Bayesian Networks Applications on Unmanned Intelligent Autonomous Vehicles
- Deep learning-based electroencephalography analysis: a systematic review
- Evolutionarily-Curated Curriculum Learning for Deep Reinforcement Learning Agents
- Optimization Models for Machine Learning: A Survey
- Solar-Sail Trajectory Design of Multiple Near Earth Asteroids Exploration Based on Deep Neural Network
- Block Argumentation
- Natively Interpretable Machine Learning and Artificial Intelligence: Preliminary Results and Future Directions
- NeuNetS: An Automated Synthesis Engine for Neural Network Design
- WALL-E: An Efficient Reinforcement Learning Research Framework
- Learning Dexterous In-Hand Manipulation
- Training Neural Networks with Local Error Signals
- Robust Recovery Controller for a Quadrupedal Robot using Deep Reinforcement Learning
- cross-lingual Language Model Pretraining
- DF-SLAM: A Deep-Learning Enhanced Visual SLAM System based on Deep Local Features
- Improved Selective Refinement Network for Face Detection
- Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks
- Design of Real-time Semantic Segmentation Decoder for Automated Driving
- Causal Reasoning from Meta-reinforcement Learning
- Automated Essay Scoring based on Two-Stage Learning
- Decoupled Greedy Learning of CNNs
- Open-ended Learning in Symmetric Zero-sum Games
- Learning Neurosymbolic Generative Models via Program Synthesis
- Emotion Detection and Analysis on Social Media
- Large-Batch Training for LSTM and Beyond
- Theoretically Principled Trade-off between Robustness and Accuracy
- TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
- QGAN: Quantized Generative Adversarial Networks
- Explainable Failure Predictions with RNN Classifiers based on Time Series Data
- Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search
- TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
- Learning Neurosymbolic Generative Models via Program Synthesis
- Three principles of data science: predictability, computability, and stability (PCS)
- Understanding Geometry of Encoder-Decoder CNNs
- PuppetGAN: Transferring Disentangled Properties from Synthetic to Real Images
- Finding Archetypal Spaces for Data Using Neural Networks
- Generating Textual Adversarial Examples for Deep Learning Models: A Survey
- Using Pre-Training Can Improve Model Robustness and Uncertainty
- Non-computability of human intelligence
- Evaluating Generalization Ability of Convolutional Neural Networks and Capsule Networks for Image Classification via Top-2 Classification
- DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks
- Hierarchically Clustered Representation Learning
- Close to Human Quality TTS with Transforme
- Lyapunov-based Safe Policy Optimization for Continuous Control
- A deep learning framework for assessment of quality of rehabilitation exercises
- Limitations of Assessing Active Learning Performance at Runtime
- Evaluating Word Embedding Models: Methods and Experimental Results
- Cloud-Net: An end-to-end Cloud Detection Algorithm for Landsat 8 Imagery
- BioBERT: a pre-trained biomedical language representation model for biomedical text mining
- Generalized Label Propagation Methods for Semi-Supervised Learning
- Pay Less Attention with Lightweight and Dynamic Convolutions
- FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals
- Guiding Policies with Language via Meta-Learning
- A BERT Baseline for the Natural Questions
- MultiLock: Mobile Active Authentication based on Multiple Biometric and Behavioral Patterns
- Fair Regression for Health Care Spending
- Revisiting Self-Supervised Visual Representation Learning
- The Value Function Polytope in Reinforcement Learning
- A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
- Go-Explore: a New Approach for Hard-Exploration Problems
- DDSL: Deep Differentiable Simplex Layer for Learning Geometric Signals
- The Evolved Transformer
- HyperGAN: A Generative Model for Diverse, Performant Neural Networks
- Twitter Job/Employment Corpus: A Dataset of Job-Related Discourse Built with Humans in the Loop
- Learning and Evaluating General Linguistic Intelligence
- The Value Function Polytope in Reinforcement Learning
- Multi-Task Deep Neural Networks for Natural Language Understanding
- Shaping the Narrative Arc: An Information-Theoretic Approach to Collaborative Dialogue
- The Second Conversational Intelligence Challenge (ConvAI2)
- Probabilistic Discriminative Learning with Layered Graphical Models
- Towards Machine-assisted Meta-Studies: The Hubble Constant
- DeepISP: Towards Learning an End-to-End Image Processing Pipeline
- Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going
- Combating Fake News: A Survey on Identification and Mitigation Techniques
- Go-Explore: a New Approach for Hard-Exploration Problems
- A Modular Benchmarking Infrastructure for High-Performance and Reproducible Deep Learning
- Deep Learning for Video Game Playing
- Deep Discriminative Representation Learning with Attention Map for Scene Classification
- Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent
- Fixup Initialization: Residual Learning Without Normalization :star:
- Predictive Maintenance in Photovoltaic Plants with a Big Data Approach
12/2018
- Theory of Cognitive Relativity: A Promising Paradigm for True AI
- Modeling Theory of Mind for Autonomous Agents with Probabilistic Programs
- Bag of Tricks for Image Classification with Convolutional Neural Networks
- Learning 3D Human Dynamics from Video
- MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language
- Designing quantum experiments with a genetic algorithm
- SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications
- ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
- Brief survey of Mobility Analyses based on Mobile Phone Datasets
- Wireless Data Acquisition for Edge Learning: Importance Aware Retransmission
- An Introduction to Deep Reinforcement Learning
- Visual Object Networks: Image Generation with Disentangled 3D Representation
- Project Rosetta: A Childhood Social, Emotional, and Behavioral Developmental Ontology
- Forging new worlds: high-resolution synthetic galaxies with chained generative adversarial networks
- Online Model Distillation for Efficient Video Inference
- Adversarial Vision Challenge
- Recursive Visual Attention in Visual Dialog
- Deep Architectures for Learning Context-dependent Ranking Functions
- Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces
- e-SNLI: Natural Language Inference with Natural Language Explanations
- Towards High Resolution Video Generation with Progressive Growing of Sliced Wasserstein GANs
- Tube-CNN: Modeling temporal evolution of appearance for object detection in video
- Computer Vision for Autonomous Vehicles
- A Parallel Divide-and-Conquer based Evolutionary Algorithm for Large-scale Optimization
- Sim-to-Real Optimization of Complex Real World Mobile Network with Imperfect Information via Deep Reinforcement Learning from Self-play
- Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting
- HAQ: Hardware-Aware Automated Quantization
- Meta-Transfer Learning for Few-Shot Learning
- Security and Privacy Issues in Deep Learning
- DNQ: Dynamic Network Quantization
- Summarizing Videos with Attention
- Exploring galaxy evolution with generative models
- EENMF: An End-to-End Neural Matching Framework for E-Commerce Sponsored Search
- Visual Attention for Behavioral Cloning in Autonomous Driving
- Law and Adversarial Machine Learning
- A Style-Based Generator Architecture for Generative Adversarial Network
- Improving fairness in machine learning systems: What do industry practitioners need?
- Gaussian Process Deep Belief Networks: A Smooth Generative Model of Shape with Uncertainty Propagation
- IRLAS: Inverse Reinforcement Learning for Architecture Search
- Learning to Communicate: A Machine Learning Framework for Heterogeneous Multi-Agent Robotic Systems
- Adversarial Transfer Learning
- Neural Approaches to Conversational AI
- Revisiting Exploration-Conscious Reinforcement Learning
- Deep Face Image Retrieval: a Comparative Study with Dictionary Learning
- TextBugger: Generating Adversarial Text Against Real-world Applications
- A comparison of cluster algorithms as applied to unsupervised surveys
- On-line Adaptative Curriculum Learning for GANs
- Transfer Learning using Representation Learning in Massive Online Open Courses
- DeepProbLog: Neural Probabilistic Logic Programming
- Linking Artificial Intelligence Principles
- Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation
- Gaussian Process Deep Belief Networks: A Smooth Generative Model of Shape with Uncertainty Propagation
- Comixify: Transform video into a comics
- Policy Search in Continuous Action Domains: an Overview
- Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders
- Bayesian Optimization in AlphaGo
- A Tutorial on Deep Latent Variable Models of Natural Language
- Traceability of Deep Neural Networks
- TechKG: A Large-Scale Chinese Technology-Oriented Knowledge Graph
- Towards Real-Time Accurate Object Detection in Both Images and Videos Based on Dual Refinement
- The Entropy of Artificial Intelligence and a Case Study of AlphaZero from Shannon's Perspective
- Contingency-Aware Exploration in Reinforcement Learning
- Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference
- Latent Dirichlet Allocation in Generative Adversarial Networks
- Quantum Memristors in Quantum Photonics
- A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms and Software
- Evolutionary Neural Architecture Search for Image Restoration
- DVC: An End-to-end Deep Video Compression Framework
- Soft Actor-Critic Algorithms and Applications
- Imitation Learning for End to End Vehicle Longitudinal Control with Forward Camera
- End to End Video Segmentation for Driving : Lane Detection For Autonomous Car
- Deep Learning on Graphs: A Survey
- Why Self-Attention? A Targeted Evaluation of Neural Machine Translation Architectures
- Scaling shared model governance via model splitting
- FML: Face Model Learning from Videos
- Generative One-Shot Learning (GOL): A Semi-Parametric Approach to One-Shot Learning in Autonomous Vision
- Machine Learning in Cyber-Security - Problems, Challenges and Data Sets
- Deep Paper Gestalt
- Deep Learning for Classical Japanese Literature
- Learning On-Road Visual Control for Self-Driving Vehicles with Auxiliary Tasks
- Progressive Data Science: Potential and Challenges
- A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series
- Molecular Dynamics with Neural-Network Potentials
- Graph Neural Networks: A Review of Methods and Applications
- wav2letter++: The Fastest Open-source Speech Recognition System
- A Survey of Hierarchy Identification in Social Networks
- nocaps: novel object captioning at scale
- Optimization Methods for Large-Scale Machine Learning
- Deep Graph Infomax
- Variational Cross-domain Natural Language Generation for Spoken Dialogue Systems
- The Design and Implementation of XiaoIce, an Empathetic Social Chatbot
- GamePad: A Learning Environment for Theorem Proving
- Lenia - Biology of Artificial Life
- Generalisation in humans and deep neural networks
- Learning from Web Data: the Benefit of Unsupervised Object Localization
- Learning to Navigate the Web
- Sample Efficient Adaptive Text-to-Speech
- A Gentle Introduction to Deep Learning in Medical Image Processing
- ProMP: Proximal Meta-Policy Search
- A Multi-task Neural Approach for Emotion Attribution, Classification and Summarization
- Face Hallucination Revisited: An Exploratory Study on Dataset Bias
- Lifelong Testing of Smart Autonomous Systems by Shepherding a Swarm of Watchdog Artificial Intelligence Agents
- Analysis Methods in Neural Language Processing: A Survey
- Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications
- Dialog-based Interactive Image Retrieval
- Quantifying Generalization in Reinforcement Learning
- DeepFakes: a New Threat to Face Recognition? Assessment and Detection
- Tiramisu: A Polyhedral Compiler for Expressing Fast and Portable Code
- Generalization Error in Deep Learning
- Photo Wake-Up: 3D Character Animation from a Single Photo
- Data-Efficient Hierarchical Reinforcement Learning
- A General Approach to Domain Adaptation with Applications in Astronomy
- A Survey on Deep Learning for Named Entity Recognition
- Parallelized Interactive Machine Learning on Autonomous Vehicles
- Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness
- Training Deep Capsule Networks :star:
- Deep Learning for Inferring the Surface Solar Irradiance from Sky Imagery
- Learning Not to Learn: Training Deep Neural Networks with Biased Data
- RegNet: Learning the Optimization of Direct Image-to-Image Pose Registration
- GaussianProcesses.jl: A Nonparametric Bayes package for the Julia Language
- Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks
- Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
- Structure Learning of Sparse GGMs over Multiple Access Networks
- Large Multistream Data Analytics for Monitoring and Diagnostics in Manufacturing Systems
- ECG Segmentation by Neural Networks: Errors and Correction
- A Review on The Use of Deep Learning in Android Malware Detection
- Informative Object Annotations: Tell Me Something I Don't Know
- A Multi-Stream Convolutional Neural Network Framework for Group Activity Recognition
- Reward Constrained Policy Optimization
- Perceptrons from Memristors
- How Powerful are Graph Neural Networks?
- Optimizing Market Making using Multi-Agent Reinforcement Learning
- End-to-End Latent Fingerprint Search
- When Does Stochastic Gradient Algorithm Work Well?
- General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms
- Portfolio Optimization for Cointelated Pairs: SDEs vs. Machine Learning
- Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications :star:
- Fingerprint Presentation Attack Detection: Generalization and Efficiency
- Tied Hidden Factors in Neural Networks for End-to-End Speaker Recognition
- SLIM LSTMs
- Partially Non-Recurrent Controllers for Memory-Augmented Neural Networks
- ATHENA: Automated Tuning of Genomic Error Correction Algorithms using Language Models
- Deep Residual Learning in the JPEG Transform Domain
- A dataset of 40K naturalistic 6-degree-of-freedom robotic grasp demonstrations
- ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers
- Predicting Aircraft Trajectories: A Deep Generative Convolutional Recurrent Neural Networks Approach
- Improving fairness in machine learning systems: What do industry practitioners need?
- Meta Reinforcement Learning with Distribution of Exploration Parameters Learned by Evolution Strategies
- Greedy Layerwise Learning Can Scale to ImageNet
- CamLoc: Pedestrian Location Detection from Pose Estimation on Resource-constrained Smart-cameras
- Learn to Interpret Atari Agents
- BNN+: Improved Binary Network Training
- AIR5: Five Pillars of Artificial Intelligence Research
- Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching
- CoSpace: Common Subspace Learning from Hyperspectral-Multispectral Correspondences
- ORIGAMI: A Heterogeneous Split Architecture for In-Memory Acceleration of Learning
- Learning to Design RNA
- Safety and Trustworthiness of Deep Neural Networks: A Survey :star:
- Deep Learning on Graphs: A Survey
- Machine Learning at the Edge: A Data-Driven Architecture with Applications to 5G Cellular Networks
- Car Detection using Unmanned Aerial Vehicles: Comparison between Faster R-CNN and YOLOv3
11/2018
- Horizon: Facebook's Open Source Applied Reinforcement Learning Platform [code]
- Applications of Deep Learning to Nuclear Fusion Research
- Towards Explainable NLP: A Generative Explanation Framework for Text Classification
- CariGANs: Unpaired Photo-to-Caricature Translation
- Predicting Demographics, Moral Foundations, and Human Values from Digital Behaviors
- Algorithms for screening of Cervical Cancer: A chronological review
- A Survey on Natural Language Processing for Fake News Detection
- The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale
- A Fast Algorithm for Clustering of High Dimensional Feature Vectors
- Toward an AI Physicist for Unsupervised Learning
- You Only Search Once: Single Shot Neural Architecture Search via Direct Sparse Optimization
- Evolutionary Data Measures: Understanding the Difficulty of Text Classification Tasks
- Security for Machine Learning-based Systems: Attacks and Challenges during Training and Inference
- Language GANs Falling Short
- Are Deep Policy Gradient Algorithms Truly Policy Gradient Algorithms?
- Learning from Demonstration in the Wild
- A Survey on Data Collection for Machine Learning: a Big Data - AI Integration Perspective
- Mesh-TensorFlow: Deep Learning for Supercomputers
- ImageNet/ResNet-50 Training in 224 Seconds
- Natural Environment Benchmarks for Reinforcement Learning
- Reward learning from human preferences and demonstrations in Atari :star:
- Mathematical Analysis of Adversarial Attacks
- Going Deeper with Semantics: Video Activity Interpretation using Semantic Contextualization
- Towards Explainable Deep Learning for Credit Lending: A Case Study
- Preliminary Studies on a Large Face Database
- Effect of data reduction on sequence-to-sequence neural TTS
- Effects of Dataset properties on the training of GANs
- On-line Adaptative Curriculum Learning for GANs
- GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism
- Active Inverse Reward Design
- DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks
- Incentivizing the Dynamic Workforce: Learning Contracts in the Gig-Economy
- ConvS2S-VC: Fully convolutional sequence-to-sequence voice conversion
- An Algorithmic Perspective on Imitation Learning
- DeRPN: Taking a further step toward more general object detection
- Activation Maximization Generative Adversarial Nets
- CADP: A Novel Dataset for CCTV Traffic Camera based Accident Analysis
- Streaming End-to-end Speech Recognition For Mobile Devices
- Economics of Human-AI Ecosystem: Value Bias and Lost Utility in Multi-Dimensional Gaps
- Scalable agent alignment via reward modeling: a research direction :star:
- Automatic Paper Summary Generation from Visual and Textual Information
- Learned Video Compression
- PydMobileNet: Improved Version of MobileNets with Pyramid Depthwise Separable Convolution
- Image Classification at Supercomputer Scale
- The PyTorch-Kaldi Speech Recognition Toolkit
- Adversarial Autoencoders for Generating 3D Point Clouds
- Large Scale GAN Training for High Fidelity Natural Image Synthesis
- An Introduction to Image Synthesis with Generative Adversarial Nets
- When Conventional machine learning meets neuromorphic engineering: Deep Temporal Networks (DTNets) a machine learning frawmework allowing to operate on Events and Frames and implantable on Tensor Flow Like Hardware
- Improving Natural Language Inference Using External Knowledge in the Science Questions Domain
- On Human Robot Interaction using Multiple Modes
- Guiding Policies with Language via Meta-Learning
- Improving Automatic Source Code Summarization via Deep Reinforcement Learning
- Pitfalls of Graph Neural Network Evaluation
- Emergence of linguistic conventions in multi-agent reinforcement learning
- The Mirage of Action-Dependent Baselines in Reinforcement Learning
- Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning
- The Mafiascum Dataset: A Large Text Corpus for Deception Detection
- Deeper Interpretability of Deep Networks
- High Speed Event-based Face Detection and Tracking in the Blink of an Eye
- Explicit Bias Discovery in Visual Question Answering Models
- Generative Adversarial Network Architectures For Image Synthesis Using Capsule Networks
- Towards Global Explanations for Credit Risk Scoring
- Watermark Retrieval from 3D Printed Objects via Convolutional Neural Networks
- Deep Active Learning with a Neural Architecture Search
- iQIYI-VID: A Large Dataset for Multi-modal Person Identification
- HAQ: Hardware-Aware Automated Quantization
- Artificial Intelligence-Defined 5G Radio Access Networks
- Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs
- 50 Years of Test (Un)fairness: Lessons for Machine Learning
- European Union regulations on algorithmic decision-making and a "right to explanation"
- Gradient Descent Finds Global Minima of Deep Neural Networks
- GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
- Context-Aware Crowd Counting
- InstaNAS: Instance-aware Neural Architecture Search
- Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications
- Machine Learning for Health (ML4H) Workshop at NeurIPS 2018
- Representation Mixing for TTS Synthesis
- Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search
- Robust Artificial Intelligence and Robust Human Organizations :star:
- Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions
- MLModelScope: Evaluate and Measure ML Models within AI Pipelines
- From Recognition to Cognition: Visual Commonsense Reasoning
- Interpretable Convolutional Filters with SincNet
- Dataset Distillation
- LSTA: Long Short-Term Attention for Egocentric Action Recognition
- Feature-Fused SSD: Fast Detection for Small Objects
- Deformable ConvNets v2: More Deformable, Better Results
- TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer
- A computational perspective of the role of Thalamus in cognition
- Towards Long-Term Memory for Social Robots: Proposing a New Challenge for the RoboCup@Home League
- Automated Algorithm Selection: Survey and Perspectives
- LRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the Wild
- Towards Decentralization of Social Media
- Neuro-memristive Circuits for Edge Computing: A review
- Deep Reinforcement Learning for Autonomous Driving
- Actor-Critic Policy Optimization in Partially Observable Multiagent Environments
- Prioritizing Starting States for Reinforcement Learning
- DLHub: Model and Data Serving for Science
- Towards Identifying and Managing Sources of Uncertainty in AI and Machine Learning Models - An Overview
- Kalman filter demystified: from intuition to probabilistic graphical model to real case in financial markets
- Snap ML: A Hierarchical Framework for Machine Learning
- Face Detection in the Operating Room: Comparison of State-of-the-art Methods and a Self-supervised Approach
- Demonstrating Advantages of Neuromorphic Computation: A Pilot Study
- ShelfNet for Real-time Semantic Segmentation
- Attentive Relational Networks for Mapping Images to Scene Graphs
- ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving
- Recurrent Relational Networks
- Fashion-Gen: The Generative Fashion Dataset and Challenge
- A Century Long Commitment to Assessing Artificial Intelligence and its Impact on Society
- Foot Pressure from Video: A Deep Learning Approach to Predict Dynamics from Kinematics
- Measure, Manifold, Learning, and Optimization: A Theory Of Neural Networks
- Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
10/2018
- The Profiling Machine: Active Generalization over Knowledge
- AI Benchmark: Running Deep Neural Networks on Android Smartphones
- A deep learning pipeline for product recognition on store shelves
- MyCaffe: A Complete C# Re-Write of Caffe with Reinforcement Learning
- Quantum Artificial Life in an IBM Quantum Computer
- Finding Solutions to Generative Adversarial Privacy
- Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA
- Scaling Video Analytics Systems to Large Camera Deployments
- From Soft Classifiers to Hard Decisions: How fair can we be?
- AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
- Comparison of Reinforcement Learning algorithms applied to the Cart Pole problem
- Auto-Keras: Efficient Neural Architecture Search with Network Morphism
- An Overview on Application of Machine Learning Techniques in Optical Networks
- A Tale of Three Probabilistic Families: Discriminative, Descriptive and Generative Models
- Transfer Metric Learning: Algorithms, Applications and Outlooks
- Secure Deep Learning Engineering: A Software Quality Assurance Perspective
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding [code] [code] :star:
- Is multiagent deep reinforcement learning the answer or the question? A brief survey
- CURIOUS: Intrinsically Motivated Multi-Task, Multi-Goal Reinforcement Learning
- On the Margin Theory of Feedforward Neural Networks
- Private Machine Learning in TensorFlow using Secure Computation
- Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
- Automatic Full Compilation of Julia Programs and ML Models to Cloud TPUs
- Intrinsic Social Motivation via Causal Influence in Multi-Agent RL
- Do Deep Generative Models Know What They Don't Know?
- Neighbourhood Consensus Networks
- The Uncertainty Bellman Equation and Exploration
- Humans are still the best lossy image compressors
- Model-Based Active Exploration
- Reversible Recurrent Neural Networks
- Graph Convolutional Reinforcement Learning for Multi-Agent Cooperation
- Multi-Agent Common Knowledge Reinforcement Learning
- Tackling Sequence to Sequence Mapping Problems with Neural Networks
- Applying Deep Learning To Airbnb Search
- Inverse reinforcement learning for video games
- Fast and accurate object detection in high resolution 4K and 8K video using GPUs
- Towards Efficient Large-Scale Graph Neural Network Computing
- An Exploration of Dropout with RNNs for Natural Language Inference
- Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells
- Memory Replay GANs: learning to generate images from new categories without forgetting
- You May Not Need Attention [code]
- Face Recognition: From Traditional to Deep Learning Methods
- Democratizing Production-Scale Distributed Deep Learning
- Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation
- WaveGlow: A Flow-based Generative Network for Speech Synthesis
- Dial2Desc: End-to-end Dialogue Description Generation
- Taking Human out of Learning Applications: A Survey on Automated Machine Learning
- DeepMasterPrints: Generating MasterPrints for Dictionary Attacks via Latent Variable Evolution
09/2018
- Hamiltonian Descent Methods
- Deep Learning for Generic Object Detection: A Survey
- Unity: A General Platform for Intelligent Agents
- Five lessons from building a deep neural network recommender for marketplaces
- Focus Group on Artificial Intelligence for Health
- Deep Learning in Information Security
- LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts
- IncSQL: Training Incremental Text-to-SQL Parsers with Non-Deterministic Oracles
- Identifying Real Estate Opportunities using Machine Learning
- Deep Learning Towards Mobile Applications
- HappyDB: A Corpus of 100,000 Crowdsourced Happy Moments
- Urban morphology meets deep learning: Exploring urban forms in one million cities, town and villages across the planet
- Graph Convolutional Networks for Text Classification
- Identifying Generalization Properties in Neural Networks
- Towards Deep and Representation Learning for Talent Search at LinkedIn
- Cellular automata as convolutional neural networks
- Realistic Evaluation of Deep Semi-Supervised Learning Algorithms
- AlphaSeq: Sequence Discovery with Deep Reinforcement Learning
- Learning to Interpret Satellite Images Using Wikipedia
- Visual Analytics for Automated Model Discovery
- GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration
- Stakeholders in Explainable AI
- Adversarial Attacks and Defences: A Survey
- Audio-Visual Speech Recognition With A Hybrid CTC/Attention Architecture
- Deep Learning in Mobile and Wireless Networking: A Survey
- Hierarchical Deep Multiagent Reinforcement Learning
- Massively Parallel Hyperparameter Tuning
08/2018
- Backprop Evolution
- Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation
- Large Scale Language Modeling: Converging on 40GB of Text in Four Hours. paper
- RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
- Neural Arithmetic Logic Units
- CornerNet: Detecting Objects as Paired Keypoints
- A Survey on Deep Transfer Learning
- YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud
- Dialog-context aware end-to-end speech recognition
- An Efficient Deep Reinforcement Learning Model for Urban Traffic Control
- Predicting Expressive Speaking Style From Text In End-To-End Speech Synthesis
- GeneSys: Enabling Continuous Learning through Neural Network Evolution in Hardware
- Application of End-to-End Deep Learning in Wireless Communications Systems
- A Short Note about Kinetics-600
- Smart City Development with Urban Transfer Learning
- Deep Learning Advances on Different 3D Data Representations: A Survey
- Skill Rating for Generative Models. paper
- Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network. paper
- Hierarchical Attention: What Really Counts in Various NLP Tasks . paper
- Neural Architecture Search: A Survey. paper
- Rapid Adaptation of Neural Machine Translation to New Languages. paper
- A Survey on Sentiment and Emotion Analysis for Computational Literary Studies. paper
- Video-to-Video Synthesis. arxiv [code]
- CoQA: A Conversational Question Answering Challenge. arxiv
- QuAC : Question Answering in Context. arxiv
- Everybody Dance Now. paper
- Contextual Parameter Generation for Universal Neural Machine Translation. paper
- Fusion++: Volumetric Object-Level SLAM. paper
- Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs
- FPGA Implementation of Convolutional Neural Networks with Fixed-Point Calculations
- Generalisation in humans and deep neural networks
- All You Need is "Love": Evading Hate-speech Detection
07/2018
- Troubling Trends in Machine Learning Scholarship
- Machine Learning in High Energy Physics Community White Paper
- Quasi-Dilemmas for Artificial Moral Agents
- Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences
- Comparing Dynamics: Deep Neural Networks versus Glassy Systems
- Financial Trading as a Game: A Deep Reinforcement Learning Approach
- Natural Language Processing for Information Extraction
- Video Summarisation by Classification with Deep Reinforcement Learning
- Generative models on accelerated neuromorphic hardware
- A Survey of Knowledge Representation and Retrieval for Learning in Service Robotics
- Zipf's law in 50 languages: its structural pattern, linguistic interpretation, and cognitive motivation
- JUMPER: Learning When to Make Classification Decisions in Reading
- Universal Word Segmentation: Implementation and Interpretation
- End-to-End Race Driving with Deep Reinforcement Learning
- Taskonomy: Disentangling Task Transfer Learning
- ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech. arxiv
- Hierarchical Multi Task Learning With CTC. arxiv
- When deep learning meets security. arxiv
- Object Detection with Deep Learning: A Review. arxiv
- Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search. arxiv
- Implementing Neural Turing Machines
- Talk the Walk: Navigating New York City through Grounded Dialogue
- The Lottery Ticket Hypothesis: Finding Small, Trainable Neural Networks
- Learning by Asking Questions
- Deep learning in agriculture: A survey
- Learning Plannable Representations with Causal InfoGAN, ICML / IJCAI / AAMAS 2018 Workshop on(PAL-18).
- Progressive Neural Architecture Search
- Variational Bayesian Reinforcement Learning with Regret Bounds
- Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes
- Learning from Delayed Outcomes with Intermediate Observations
- A Survey of the Usages of Deep Learning in Natural Language Processing
- The GAN Landscape: Losses, Architectures, Regularization, and Normalization
- Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures
- TherML: Thermodynamics of Machine Learning
- Neural Processes
- GAN Q-learning
- LaneNet: Real-Time Lane Detection Networks for Autonomous Driving
- TextWorld: A Learning Environment for Text-based Games, ICML/IJCAI 2018.
- Perceptrons from Memristors
- Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model
- Large-Scale Visual Speech Recognition
|| dl-research-groups | dl-frameworks | dl1+dl2 | awesome-dl+roadmap+ml | CB-Insights_AI-100 + AI100_2 | ai-angelList | machine-learning-surveys |graph-based-deep-learning-literature||
|| a--rnn | a-deep-vision | a--random-forest | a-computer-vision | a-deep-learning | a-p | d-l-p | drlp | DeepLearningImplementations | drlp2 | dl-papernotes | dl-r | med-appl | very-dl | nn.papers | a-GAN | rl.papers| dnn.med | cuda.programming | caltech.cuda | rtb-papers | deep-learning-nlp-rl-papers | nips2017 | deep_learning_object_detection | MLiterature ||
|| Outline of artificial intelligence | Outline of machine learning | Outline of computer vision | Outline of natural language processing | Outline of robotics | List of datasets for machine learning research| ai applications | UCI.ML.DATASETS | public.datasets | kaggle.datasets | datasets.gh.list | Origin_of_speech ||
|| awesome-nlp | nlp_tasks | DeepNLP-models-Pytorch | oxford.nlp.lectures | stanford.nlp.lectures | nltk.org/book | DL4NLP | cs388.utexas.nlp | nlp-datasets | DL-NLP-Readings | gt-nlp-class| GNNPapers ||
ML/DL Publications
- Arxiv Sanity Preserver
- NIPS
- ICML-17
- AAAI
- CVPapers
- arxiv.ml
- arxiv.cvpr
- arxiv.ai
- arxiv.ne
- arxiv.ro
- arxiv.nc
- hinton
- MILA
- FAIR
- deepmind
- brain team
- andrewng
- yann.lecun,nyu
- manning
- hiit.neuro
- grey.colorado.edu.CCNL
- dbsystem
- nvidia.ml.research
- stanford.vision.lab
- BAIR.people + courses
- CSAIL.people + publications
- SAIL.people + courses
- google.machineIntelligence
- google.MachinePerception
- google.MachineTranslation
- google.NaturalLanguageProcessing
- google.AIResidency
- scholar.cvpr
- scholar.ai
- scholar.gt
- scholar.ro
- shoham
- ai.people
- ml.people
- AAAI.fellows
- UTA.ai
- UTA.dml
- wildml
- rl.gh.p
- nn.gh.p
- openai.requests.research
- psy.ox.ac.uk
- cs.ox.ac.uk
- CV.people
- arXivTimes
ML/DL Implementations
- deepmind.gh.code
- openai.gh.code
- facebookresearch.gh.code
- frameworks.dl
- ml.python
- deep.nlp.models.pytorch
- rl
- dl.keras.tf
- pytorch.list
- ml.algorithms
- cnn.benchmarks
- pytorch.tut
- pytorch.ex
- torch.start
- dl.tool
- rl.tf
- DCGAN.tf
- ntm.tf
- neural.style
- torch.rnn
- stanford.dl.ex
- deepq.tf
- gan
- ml.hackers.code.r
- bayesian.code.jn
- nn.dl.code
- nn.java
- ml.go
- numenta.gh.code
- tensorflow.gh.code
- neural.doodle.code
- ml.sf.engineering
- tf.models
- DL4NLP
- neural.style.torch
- opencog
- ml.jn.scikit
- bayesian.PyMC3
- tf.ex
- ALE
- aima.py
- deeplearning4j.code
- tflearn.tf
- resnet
- stanford.tf
- top.dl
- tensorlayer.dl.rl
- dl.keras
- dl.docker
- dl.list
- mila.gh.code
- microsoft.gh.code
- CSAILVision.gh.code
- NVIDIA.gh.code
- OpenNMT.code
- Tencent.code
- baidu.code
- stanfordnlp.code
- sar.ml
- sony.code
- ml
- PrincetonVision.code
- commaai.code
- NervanaSystems.code
- pytorch.code
- torch.code
- automl.code
- chainer.code
- dmlc.code
- BVLC.code
- caffe2.code
- aimacode.code
- opencog.code
- opencv.code
- oxford.deepnlp
- USC.ds.code
- gensim.nlp.ir
- scikit.learn.code
- tesseract.code
- ds.ipython
- ml.book
- ccs.video.cources
- eff.tf
- ml.tut
- swift.ai
- tf.book
- ml.mindmaps
- dl
- h2o.ai
- fast.ai
- tf.tut
- tf.tut
- PipelineAI
- PRML
- mlpack
- mit.nlp
- scikit.learn.contrib
- mit.ml.pdf
- ml.py.book
- onnx.code
- aml.sf
- dmml.sf
- prolog.ai
- deep.rl.1
- deep.rl.pytorch
- dl.tut
- dl.trade
- benchm.ml
- dl.java
- dl.tf
- self-car.ai
- dql
- drl.berkeley
- PAIR-code
- fast.ai
- courses.fast.ai
- cs231n.stanford.edu/
- cs224d.stanford.edu/
- oxford-cs-deepnlp-2017
- UFLDL Tutorial 1
- UFLDL Tutorial 2
- dl.NLP (without Magic)|
- dl.p.dn
- dl.bu
- Theano.tut
- nn.Matlab
- cnn.face
- Torch7.tut
- ml.tut.web
- VGG.cnn
- TensorFlow.tut
- TensorFlow.tut+
- TensorFlow.py.n
- Keras.Lasagne.tut
- TensorFlow.LSTM.RNN
- TensorFlow.World
- dl.py
- Grokking.dl
- dl.Search
- Keras.tut
- Pytorch.tut
- Ray Kurzweil
- Andrew Ng
- Geoff Hinton
- Yann LeCun
- Yoshua bengio
- Jeff Hawkins
- Adam Coates
- Adam Coates
- Adam Coates
- Yann LeCun
- Geoffrey Hinton at GoogleTechTalks
- Jeremy Howard at TEDxBrussels
- Andrew Ng in Stanford (2011)
- Chris Manning in Stanford
- Natalie Hammel and Lorraine Yurshansky
- Steve Jurvetson (and panel) at VLAB in Stanford
- Leo Isikdogan at Motorola Mobility HQ
- CS224u: Natural Language Understanding
- Deep Learning – a cookbook view
ML/DL conferences in 2018
- aideadlin.es
- /r/MachineLearning/
- conference paper templates
- AI Conferences in 2018
- Calendar of Computer Image Analysis, Computer Vision Conferences
- guide2research
Conference Papers:
highscalability - to dive in all time favorites list
- [Week-1] 19-Nov-2017
- [Week-2] 26-Nov-2017
- [Week-3] 03-Dec-2017
- [Week-4] 10-Dec-2017
- [Week-5] 17-Dec-2017
- [Week-6] 24-Dec-2017
- [Week-7] 31-Dec-2017
- [startupreadings]
- [awesome-scalability]
- [Week-1] 19-Nov-2017 - decentralized systems(Blockchain)
- [Week-2] 26-Nov-2017 - decentralized systems(Blockchain)
- [Week-3] 03-Dec-2017 - bitcoin content
- [Week-4] 17-Dec-2017 - bitcoin code
- [Week-5] 24-Dec-2017 - ethereum content
- [Week-6] 31-Dec-2017 - ethereum programming + ICO
|| blockchain-papers | blockchain in action | awesome-blockchain+influencers+whitepapers+cryptocurrency | ICO+Resources||
Maintainer
Gopala KR / @gopala-kr
arxiv
blockchain-technology
computer-vision
deep-learning
information-retrieval
machine-learning
neural-network
nlp-resources
quantum-computing
reinforcement-learning
speech-recognition
Contributors
gopala-kr
3,884 commits
Similar repos
README
summaries of papers on deep learning.
- [Week-1] 15-Oct-2017 - DL history and basics : DBN, AlexNet, VGGNet, GoogLeNet, ResNet, RNN(speech evolution)
- [Week-2] 22-Oct-2017 - DL methods : models, optimization, deep generative model, rnn/seq-to-seq model
- [Week-3] 29-Oct-2017 - DL methods : Neural Turing Machine,Reinforcement-Transfer-One-Shot Deep Learning
- [Week-4] 06-Nov-2017 - DL applications : nlp, object detection, visual tracking, image caption
- [Week-5] 12-Nov-2017 - DL applications : Machine Translation, Robotics, Art, Object Segmentation
- [Week-6] 19-Nov-2017 - recommender systems
- [Week-7] 26-Nov-2017 - ftm : 01/2011 - 12/2014
- [Week-8] 03-Dec-2017 - ftm : 01/2015 - 12/2015
- [Week-9] 10-Dec-2017 - ftm : 01/2016 - 05/2016
- [Week-10] 17-Dec-2017 - ftm : 06/2016 - 12/2016
- [Week-11] 24-Dec-2017 - ftm : 01/2017 - 07/2017
- [Week-12] 31-Dec-2017 - ftm : 08/2017 - 12/2017
- [Jan-2018]
- [Feb-2018]
- [March-2018]
- [April-2018]
- [May-2018]
- [June-2018]
Articles
07/2019
- How Did Humans Become So Creative? A Computational Approach :star:
- Deep Learning for Spacecraft Pose Estimation from Photorealistic Rendering
- Translating neural signals to text using a Brain-Machine Interface
- SVGD: A Virtual Gradients Descent Method for Stochastic Optimization
- A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends
- Large Memory Layers with Product Keys :star:
- Large Scale Adversarial Representation Learning
- Regularizing Neural Networks for Future Trajectory Prediction via Inverse Reinforcement Learning
- Out-of-Distribution Detection Using Neural Rendering Generative Models
- City-GAN: Learning architectural styles using a custom Conditional GAN architecture
- Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds
- Listen, Attend, Spell and Adapt: Speaker Adapted Sequence-to-Sequence ASR
- A Review of Machine Learning Applications in Fuzzing
- GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering
- Machine Learning Kernel Method from a Quantum Generative Model
- A Neural Architecture for Designing Truthful and Efficient Auctions
- Fast geodesic shooting for landmark matching using CUDA
- The Role of Cooperation in Responsible AI Development
- PreCall: A Visual Interface for Threshold Optimization in ML Model Selection
- Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges
- Playing Go without Game Tree Search Using Convolutional Neural Networks
- Incrementalizing RASA's Open-Source Natural Language Understanding Pipeline
- BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs
- Making AI Forget You: Data Deletion in Machine Learning
- Explainable Machine Learning for Scientific Insights and Discoveries
- What does it mean to understand a neural network?
- Efficient Video Generation on Complex Datasets
- NPA: Neural News Recommendation with Personalized Attention
- Artificial Intelligence as a Services (AI-aaS) on Software-Defined Infrastructure
- Gated-SCNN: Gated Shape CNNs for Semantic Segmentation
- Task Selection Policies for Multitask Learning
- Microsoft Translator at WMT 2019: Towards Large-Scale Document-Level Neural Machine Translation
- A Neural Turing~Machine for Conditional Transition Graph Modeling
- A Differentiable Programming System to Bridge Machine Learning and Scientific Computing
- OCC: A Smart Reply System for Efficient In-App Communications
- A Survey of Data Quality Measurement and Monitoring Tools
- User-Interactive Machine Learning Model for Identifying Structural Relationships of Code Features
- ELG: An Event Logic Graph
- CraftAssist: A Framework for Dialogue-enabled Interactive Agents
- HAKE: Human Activity Knowledge Engine
- Probing Neural Network Comprehension of Natural Language Arguments
- Beyond Imitation: Generative and Variational Choreography via Machine Learning
- HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips :star:
- Deep-SLAM++: Object-level RGBD SLAM based on class-specific deep shape priors
- Compositional Deep Learning
- SentiMATE: Learning to play Chess through Natural Language Processing
- Convolutional Reservoir Computing for World Models
- Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches
- SlugBot: Developing a Computational Model andFramework of a Novel Dialogue Genre
- Optuna: A Next-generation Hyperparameter Optimization Framework :star:
- Speech2Face: Learning the Face Behind a Voice
- Semi-parametric Object Synthesis
- INS: An Interactive Chinese News Synthesis System
- Green AI :star:
- AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence
- U4D: Unsupervised 4D Dynamic Scene Understanding
- How to Manipulate CNNs to Make Them Lie: the GradCAM Case
- SlimYOLOv3: Narrower, Faster and Better for Real-Time UAV Applications
- Artificial Intelligence as Structural Estimation: Economic Interpretations of Deep Blue, Bonanza, and AlphaGo
- RoBERTa: A Robustly Optimized BERT Pretraining Approach
- Benchmarking TPU, GPU, and CPU Platforms for Deep Learning
- Towards AutoML in the presence of Drift: first results
- RNNbow: Visualizing Learning via Backpropagation Gradients in Recurrent Neural Networks
- ERNIE 2.0: A Continual Pre-training Framework for Language Understanding
- Deep Reinforcement Learning for Personalized Search Story Recommendation
- FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation
- Towards meta-learning for multi-target regression problems
- A Benchmark on Tricks for Large-scale Image Retrieval
06/2019
- Tackling Climate Change with Machine Learning :star:
- Mesh R-CNN
- Does Object Recognition Work for Everyone?
- Energy and Policy Considerations for Deep Learning in NLP
- An Introduction to Variational Autoencoders
- Text-based Editing of Talking-head Video
- A Multi-Pass GAN for Fluid Flow Super-Resolution
- IoT Network Security from the Perspective of Adversarial Deep Learning
- Deep learning for image segmentation-a short survey
- On the Realization of Compositionality in Neural Networks
- Butterfly Transform: An Efficient FFT Based Neural Architecture Design
- Automated Machine Learning: State-of-The-Art and Open Challenges
- Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise
- Automated Machine Learning with Monte-Carlo Tree Search (Extended Version)
- Explain Yourself! Leveraging Language Models for Commonsense Reasoning
- Automatic Reparameterisation of Probabilistic Programs
- Modeling e-Learners' Cognitive and Metacognitive Strategy in Comparative Question Solving
- Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach
- KERMIT: Generative Insertion-Based Modeling for Sequences :star:
- Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
- Monotonic Infinite Lookback Attention for Simultaneous Machine Translation
- Is Deep Learning an RG Flow?
- What Does BERT Look At? An Analysis of BERT's Attention
- Quantizing deep convolutional networks for efficient inference: A whitepaper
- What Kind of Language Is Hard to Language-Model?
- Open Sesame: Getting Inside BERT's Linguistic Knowledge
- NAS-FCOS: Fast Neural Architecture Search for Object Detection
- DCEF: Deep Collaborative Encoder Framework for Unsupervised Clustering
- Continual and Multi-Task Architecture Search
- The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation
- Hierarchical Imitation and Reinforcement Learning
- Jacobian Policy Optimizations
- Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards
- A Bayesian Perspective on the Deep Image Prior
- COMET: Commonsense Transformers for Automatic Knowledge Graph Construction
- Topology-Preserving Deep Image Segmentation
- The Replica Dataset: A Digital Replica of Indoor Spaces
- Learning from Dialogue after Deployment: Feed Yourself, Chatbot!
- Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions
- Butterfly Transform: An Efficient FFT Based Neural Architecture Design
- A Survey on Deep Learning Architectures for Image-based Depth Reconstruction
- Neural Spline Flows
- NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language
- Deep learning for molecular design - a review of the state of the art
- Kernelized Capsule Networks
- Unsupervised Representation Learning of DNA Sequences
- Image Captioning: Transforming Objects into Words
- Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving
- Copy and Paste: A Simple But Effective Initialization Method for Black-Box Adversarial Attacks
- Fast Calculation of Probabilistic Power Flow: A Model-based Deep Learning Approach
- Machine Learning Approach to Earthquake Rupture Dynamics
- Stand-Alone Self-Attention in Vision Models
- Inverse Cooking: Recipe Generation from Food Images
- Large Scale Structure of Neural Network Loss Landscapes
- Generative Adversarial Networks: A Survey and Taxonomy :star:
- Accelerating Neural ODEs with Spectral Elements
- Human Side of Tesla Autopilot: Exploration of Functional Vigilance in Real-World Human-Machine Collaboration
- Stand-Alone Self-Attention in Vision Models
- Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation
- Image-based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era
- Search on the Replay Buffer: Bridging Planning and Reinforcement Learning
- MMDetection: Open MMLab Detection Toolbox and Benchmark
- Task Agnostic Continual Learning via Meta Learning
- Show, Match and Segment: Joint Learning of Semantic Matching and Object Co-segmentation
- The Replica Dataset: A Digital Replica of Indoor Spaces
- XLNet: Generalized Autoregressive Pretraining for Language Understanding [code] :star:
- Weight Agnostic Neural Networks
- Model Compression by Entropy Penalized Reparameterization
- Analyzing the Structure of Attention in a Transformer Language Model
- PyRobot: An Open-source Robotics Framework for Research and Benchmarking :star:
- Explaining Reinforcement Learning to Mere Mortals: An Empirical Study
- EVDodge: Embodied AI For High-Speed Dodging On A Quadrotor Using Event Cameras
- Federated Learning for Emoji Prediction in a Mobile Keyboard
- Neural Volumes: Learning Dynamic Renderable Volumes from Images
- Discovery of Physics from Data: Universal Laws and Discrepancy Models
- Prune and Replace NAS
- The Functional Neural Process
- StoryGAN: A Sequential Conditional GAN for Story Visualization
- Large Scale Structure of Neural Network Loss Landscapes
- Coupled Graph Neural Networks for Predicting the Popularity of Online Content
- PaperRobot: Incremental Draft Generation of Scientific Ideas
- Meta-learning of textual representations
- Deep Set Prediction Networks
- Modern Deep Reinforcement Learning Algorithms
- Machine Learning Phase Transitions with a Quantum Processor
- ORRB -- OpenAI Remote Rendering Backend
- Inducing Syntactic Trees from BERT Representations
- We Need No Pixels: Video Manipulation Detection Using Stream Descriptors
- End-to-End Visual Speech Recognition for Small-Scale Datasets
- Eliciting Knowledge from Experts:Automatic Transcript Parsing for Cognitive Task Analysis
- A Power Efficient Artificial Neuron Using Superconducting Nanowires :star:
05/2019
- AI Feynman: a Physics-Inspired Method for Symbolic Regression :star:
- Defending Against Neural Fake News
- EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks [EfficientNet-PyTorch] :star:
- Graph Representations for Higher-Order Logic and Theorem Proving
- Speech2Face: Learning the Face Behind a Voice
- VQVAE Unsupervised Unit Discovery and Multi-scale Code2Spec Inverter for Zerospeech Challenge 2019
- Multi-Modal Graph Interaction for Multi-Graph Convolution Network in Urban Spatiotemporal Forecasting
- Video-to-Video Translation for Visual Speech Synthesis
- Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction
- PyTorch-BigGraph: A Large-scale Graph Embedding System :star:
- Trust but Verify: An Information-Theoretic Explanation for the Adversarial Fragility of Machine Learning Systems, and a General Defense against Adversarial Attacks
- Provably Powerful Graph Networks
- Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network
- Pre-training Graph Neural Networks
- Unsupervised Learning from Video with Deep Neural Embeddings
- Discrete Infomax Codes for Meta-Learning
- Few-Shot Adversarial Learning of Realistic Neural Talking Head Models :star:
- Neural Path Planning: Fixed Time, Near-Optimal Path Generation via Oracle Imitation
- Adversarial Examples Are Not Bugs, They Are Features
- On Variational Bounds of Mutual Information
- How Does Batch Normalization Help Optimization?
- Solving NP-Hard Problems on Graphs by Reinforcement Learning without Domain Knowledge
- Object Discovery with a Copy-Pasting GAN
- Towards Neural Decompilation
- Multi-Sample Dropout for Accelerated Training and Better Generalization
- Discrete Flows: Invertible Generative Models of Discrete Data
- Kervolutional Neural Networks
- Deep Scale-spaces: Equivariance Over Scale
- Unified Language Model Pre-training for Natural Language Understanding and Generation
- Graph Matching Networks for Learning the Similarity of Graph Structured Objects
- Embedding Human Knowledge in Deep Neural Network via Attention Map
- The Information Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Models
- Object Detection in 20 Years: A Survey :star:
- Brain-mediated Transfer Learning of Convolutional Neural Networks
- Evolving Rewards to Automate Reinforcement Learning
- FastSpeech: Fast, Robust and Controllable Text to Speech
- MixMatch: A Holistic Approach to Semi-Supervised Learning
- Magic: The Gathering is Turing Complete
- SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver [code]
- MASS: Masked Sequence to Sequence Pre-training for Language Generation
- Challenges of Real-World Reinforcement Learning
- Meta reinforcement learning as task inference
- Accelerating Proposal Generation Network for \Fast Face Detection on Mobile Devices
- Go-Explore: a New Approach for Hard-Exploration Problems
- Finding Friend and Foe in Multi-Agent Games
- CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
- RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point cloud
- Examining Structure of Word Embeddings with PCA
- Defending Against Neural Fake News
- Graph WaveNet for Deep Spatial-Temporal Graph Modeling
- Consensus Clustering: An Embedding Perspective, Extension and Beyond
- RAPID: Early Classification of Explosive Transients using Deep Learning
04/2019
- A Systematic Literature Review about the impact of Artificial Intelligence on Autonomous Vehicle Safety
- Analysing Mathematical Reasoning Abilities of Neural Models. https://arxiv.org/pdf/1904.01557v1.pdf deepmind/mathematics_dataset
- Libra R-CNN: Towards Balanced Learning for Object Detection
- YOLACT: Real-time Instance Segmentation
- Advancing NLP with Cognitive Language Processing Signals
- Visualizing Attention in Transformer-Based Language models
- Recommendations for Datasets for Source Code Summarization
- An End-to-End Baseline for Video Captioning
- BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis
- Hyperbolic Image Embeddings
- PaintBot: A Reinforcement Learning Approach for Natural Media Painting
- Reducing BERT Pre-Training Time from 3 Days to 76 Minutes
- DAGCN: Dual Attention Graph Convolutional Networks
- T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor
- Computational Imaging for VLBI Image Reconstruction (2016) :star:
- AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning
- Deep-Sentiment: Sentiment Analysis Using Ensemble of CNN and Bi-LSTM Models
- ASAP: Architecture Search, Anneal and Prune
- Revisiting EmbodiedQA: A Simple Baseline and Beyond
- Accelerated Neural Networks on OpenCL Devices Using SYCL-DNN
- A Closer Look at Few-shot Classification
- Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout
- Streamlined Dense Video Captioning
- Analysing Mathematical Reasoning Abilities of Neural Models
- DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis
- Density Matching for Bilingual Word Embedding
- Characterizing the Social Interactions in the Artificial Bee Colony Algorithm
- MOTS: Multi-Object Tracking and Segmentation
- From Coarse to Fine: Robust Hierarchical Localization at Large Scale
- Transferring Knowledge Fragments for Learning Distance Metric from A Heterogeneous Domain
- Meta Filter Pruning to Accelerate Deep Convolutional Neural Networks
- Sampling, Intervention, Prediction, Aggregation: A Generalized Framework for Model Agnostic Interpretations
- Feature Learning Viewpoint of AdaBoost and a New Algorithm
- Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation [code]
- A Selective Overview of Deep Learning
- Pun Generation with Surprise :star:
- Unsupervised Recurrent Neural Network Grammars
- Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation
- Tutorial: Safe and Reliable Machine Learning
- A Discussion on Solving Partial Differential Equations using Neural Networks
- Reinforcement Learning with Probabilistic Guarantees for Autonomous Driving
- PruneTrain: Fast Neural Network Training by Dynamic Sparse Model Reconfiguration
- Recurrent Neural Network for (Un-)supervised Learning of Monocular VideoVisual Odometry and Depth
- Optimising Trotter-Suzuki Decompositions for Quantum Simulation Using Evolutionary Strategies
- A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms
- The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent
- On the Performance of Differential Evolution for Hyperparameter Tuning
- GraphTSNE: A Visualization Technique for Graph-Structured Data
- Learning Not to Learn: Training Deep Neural Networks with Biased Data
- Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization
- An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search
- Plan, Write, and Revise: an Interactive System for Open-Domain Story Generation
- Precise Detection in Densely Packed Scenes
- Deep neural networks can predict mortality from 12-lead electrocardiogram voltage data
- Self-critical n-step Training for Image Captioning
- Pedestrian Detection in Thermal Images using Saliency Maps
- Mini-batch Serialization: CNN Training with Inter-layer Data Reuse
- ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging
- Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces
- Fooling automated surveillance cameras: adversarial patches to attack person detection
- Unsupervised Part-Based Disentangling of Object Shape and Appearance
- Natural Language Interactions in Autonomous Vehicles: Intent Detection and Slot Filling from Passenger Utterances
- A General Neural Network Architecture for Persistence Diagrams and Graph Classification
- Mercator: uncovering faithful hyperbolic embeddings of complex networks
- Data Cleaning for Accurate, Fair, and Robust Models: A Big Data - AI Integration Approach
- The Use of Unlabeled Data versus Labeled Data for Stopping Active Learning for Text Classification
- Variational approach to unsupervised learning
- A Novel Re-weighting Method for Connectionist Temporal Classification
- Language Models with Transformers
- LBS Autoencoder: Self-supervised Fitting of Articulated Meshes to Point Clouds
- Text Classification Algorithms: A Survey
- The Trajectron: Probabilistic Multi-Agent Trajectory Modeling with Dynamic Spatiotemporal Graphs
- Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
- The MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors
- Neural Logic Reinforcement Learning
- Segmenting the Future
- Holistic Large Scale Video Understanding
- Understanding the Behaviors of BERT in Ranking
- Machine learning for long-distance quantum communication
- Attention Augmented Convolutional Networks
- Assessing the Tolerance of Neural Machine Translation Systems Against Speech Recognition Errors
- Differentiable Pruning Method for Neural Networks
- BERTScore: Evaluating Text Generation with BERT [code]
- Out of the Box: A combined approach for handling occlusion in Human Pose Estimation
- RepPoints: Point Set Representation for Object Detection
- Generated Loss, Augmented Training, and Multiscale VAE
- Latent Variable Algorithms for Multimodal Learning and Sensor Fusion
- Unsupervised Deep Learning by Neighbourhood Discovery
- Unsupervised Data Augmentation
- HIGAN: Cosmic Neutral Hydrogen with Generative Adversarial Networks
- Dynamic Demand Prediction for Expanding Electric Vehicle Sharing Systems
- Aequitas: A Bias and Fairness Audit Toolkit
- Beyond Gradient Descent for Regularized Segmentation Losses
- A Review of Modularization Techniques in Artificial Neural Networks
- Localization, Detection and Tracking of Multiple Moving Sound Sources with a Convolutional Recurrent Neural Network
- Progressive Differentiable Architecture Search: Bridging the Depth Gap between Search and Evaluation
- DAC: The Double Actor-Critic Architecture for Learning Options
- Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications Outside Coverage
- Adversarial Examples: Opportunities and Challenges
- Provable limitations of deep learning :star:
- Evaluating Recurrent Neural Network Explanations
- Teaching AI, Ethics, Law and Policy
- Challenges and Pitfalls of Reproducing Machine Learning Artifacts
- Generating Artificial Data for Private Deep Learning
- Exploring Urban Air Quality with MAPS: Mobile Air Pollution Sensing
- Hierarchical Recurrent Neural Network for Video Summarization
- On Exact Computation with an Infinitely Wide Neural Net :star:
- Probing What Different NLP Tasks Teach Machines about Function Word Comprehension
- Knowing When to Stop: Evaluation and Verification of Conformity to Output-size Specifications
- Wave Physics as an Analog Recurrent Neural Network
- TVQA+: Spatio-Temporal Grounding for Video Question Answering
- VideoBERT: A Joint Model for Video and Language Representation Learning
03/2019
- Predicting Research Trends From Arxiv
- Asynchronous Federated Optimization
- Improving Transparency of Deep Neural Inference Process
- GNN Explainer: A Tool for Post-hoc Explanation of Graph Neural Networks
- Unsupervised Discovery of Parts, Structure, and Dynamics
- Continual Learning via Neural Pruning
- Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data
- Hyperdrive: A Multi-Chip Systolically Scalable Binary-Weight CNN Inference Engine
- High-Throughput CNN Inference on Embedded ARM big.LITTLE Multi-Core Processors
- Survey of Text-based Epidemic Intelligence: A Computational Linguistic Perspective
- AutoML @ NeurIPS 2018 challenge: Design and Results
- MILDNet: A Lightweight Single Scaled Deep Ranking Architecture
- AI2-THOR: An Interactive 3D Environment for Visual AI
- VRKitchen: an Interactive 3D Virtual Environment for Task-oriented Learning
- Natural Language Interaction with Explainable AI Models
- Rectified Decision Trees: Towards Interpretability, Compression and Empirical Soundness
- Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning
- Lipschitz Generative Adversarial Nets
- Scalable Facial Image Compression with Deep Feature Reconstruction
- AgriColMap: Aerial-Ground Collaborative 3D Mapping for Precision Farming
- MirrorGAN: Learning Text-to-image Generation by Redescription
- A Deep Patent Landscaping Model using Transformer and Graph Convolutional Network
- MILDNet: A Lightweight Single Scaled Deep Ranking Architecture
- Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning
- Reinforcement Learning and Inverse Reinforcement Learning with System 1 and System 2
- Cleaning tasks knowledge transfer between heterogeneous robots: a deep learning approach
- Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis [code]
- RVOS: End-to-End Recurrent Network for Video Object Segmentation [code]
- Improving Transparency of Deep Neural Inference Process
- Visual Semantic Information Pursuit: A Survey
- Assessing Generalization in Deep Reinforcement Learning
- On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models
- Policy Distillation and Value Matching in Multiagent Reinforcement Learning
- Selective Kernel Networks
- Neuromorphic Hardware learns to learn
- DeepHuman: 3D Human Reconstruction from a Single Image
- Benchmarking Natural Language Understanding Services for building Conversational Agents
- A Context-Aware Citation Recommendation Model with BERT and Graph Convolutional Networks
- BLVD: Building A Large-scale 5D Semantics Benchmark for Autonomous Driving
- Enabling Spike-based Backpropagation in State-of-the-art Deep Neural Network Architectures
- A Multi-Agent Off-Policy Actor-Critic Algorithm for Distributed Reinforcement Learning
- ROS2Learn: a reinforcement learning framework for ROS 2
- Show, Translate and Tell
- Improving Neural Architecture Search Image Classifiers via Ensemble Learning
- Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognition
- Autoregressive Models for Sequences of Graphs
- Human Activity Recognition for Edge Devices
- EV-IMO: Motion Segmentation Dataset and Learning Pipeline for Event Cameras
- Interpretable Deep Learning in Drug Discovery
- Bilinear Representation for Language-based Image Editing Using Conditional Generative Adversarial Networks
- Communication-Efficient Federated Deep Learning with Asynchronous Model Update and Temporally Weighted Aggregation
- Neutron: An Implementation of the Transformer Translation Model and its Variants
- Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration
- Beyond Turing: Intelligent Agents Centered on the User
- Deep Reinforcement Learning with Feedback-based Exploration
- Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly
- The Missing Ingredient in Zero-Shot Neural Machine Translation
- Responses to a Critique of Artificial Moral Agents
- Inserting Videos into Videos
- Learning Correspondence from the Cycle-Consistency of Time
- Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set
- CoCoNet: A Collaborative Convolutional Network
- A Principled Approach for Learning Task Similarity in Multitask Learning
- Memorable Maps: A Framework for Re-defining Places in Visual Place Recognition
- Learning to Caption Images through a Lifetime by Asking Questions
- Megapixel Photon-Counting Color Imaging using Quanta Image Sensor
- Recent advances in conversational NLP : Towards the standardization of Chatbot building
- Localization of Unmanned Aerial Vehicles in Corridor Environments using Deep Learning
- Learning Multi-Level Information for Dialogue Response Selection by Highway Recurrent Transformer
- Dynamic Power Management for Neuromorphic Many-Core Systems
- Towards Characterizing Divergence in Deep Q-Learning
- Understanding Convolutional Neural Networks with Information Theory: An Initial Exploration
- LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving
- A Graph-structured Dataset for Wikipedia Research
- Artificial Intelligence : from Research to Application ; the Upper-Rhine Artificial Intelligence Symposium (UR-AI 2019)
- Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML
- Machine Learning for Data-Driven Movement Generation: a Review of the State of the Art
- A Methodology for Search Space Reduction in QoS Aware Semantic Web Service Composition
- Varifocal-Net: A Chromosome Classification Approach using Deep Convolutional Networks
- Generative Models For Deep Learning with Very Scarce Data
- Progressive Sparse Local Attention for Video object detection
- Semantic Image Synthesis with Spatially-Adaptive Normalization
- Combining Model and Parameter Uncertainty in Bayesian Neural Networks
- Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction
- In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images
- IvaNet: Learning to jointly detect and segment objets with the help of Local Top-Down Modules
- Deep Models for Relational Databases
- Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 Prototype
- Natural Language Generation at Scale: A Case Study for Open Domain Question Answering
- Actor and Action Video Segmentation from a Sentence :star:
- DeepCenterline: a Multi-task Fully Convolutional Network for Centerline Extraction
- Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation
- Towards a framework for the evolution of artificial general intelligence
- On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning
- Learning-to-Learn Stochastic Gradient Descent with Biased Regularization
- Fine-tune BERT for Extractive Summarization
- Audio Caption: Listen and Tell
- MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning
- HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs
- Learning to Walk via Deep Reinforcement Learning
- Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial Networks
- Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems
- Looking Fast and Slow: Memory-Guided Mobile Video Object Detection
- Continual Learning with Tiny Episodic Memories
- Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation
- Towards Accurate Generative Models of Video: A New Metric & Challenges
- NengoDL: Combining deep learning and neuromorphic modelling methods
- Autoregressive Policies for Continuous Control Deep Reinforcement Learning
- Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems
- A Sober Look at Neural Network Initializations
- Using Monolingual Data in Neural Machine Translation: a Systematic Study
- Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools
- Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods
- StructADMM: A Systematic, High-Efficiency Framework of Structured Weight Pruning for DNNs
- GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving
- A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling
- Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning
- nuScenes: A multimodal dataset for autonomous driving
- DetNAS: Neural Architecture Search on Object Detection
- Differentiable Scene Graphs
- BUT-FIT at SemEval-2019 Task 7: Determining the Rumour Stance with Pre-Trained Deep Bidirectional Transformers
- The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation
- Random Language Model
- Extracting Success from IBM's 20-Qubit Machines Using Error-Aware Compilation
- Deep Radiomics for Brain Tumor Detection and Classification from Multi-Sequence MRI
- A Quantum Annealing-Based Approach to Extreme Clustering
- AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search
- Towards Accurate Generative Models of Video: A New Metric & Challenges
- TensorMask: A Foundation for Dense Object Segmentation
- 3D Whole Brain Segmentation using Spatially Localized Atlas Network Tiles
- Fast video object segmentation with Spatio-Temporal GANs
- Resilient Combination of Complementary CNN and RNN Features for Text Classification through Attention and Ensembling
- Deep learning for molecular generation and optimization - a review of the state of the art
- Needle in a Haystack: A Framework for Seeking Small Objects in Big Datasets
02/2019
- The Hanabi Challenge: A New Frontier for AI Research :star:
- Towards Federated Learning at Scale: System Design
- Word Embeddings for Sentiment Analysis: A Comprehensive Empirical Survey
- The Natural Language of Actions
- AlphaStar: An Evolutionary Computation Perspective :star:
- Declarative Data Analytics: a Survey
- CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning
- A Multi-Resolution Word Embedding for Document Retrieval from Large Unstructured Knowledge Bases
- Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era
- Solving The Exam Scheduling Problems in Central Exams With Genetic Algorithms
- Adaptive Gradient Refinement for Adversarial Perturbation Generation
- Computational Optimal Transport
- Parameter-Efficient Transfer Learning for NLP
- End-to-End Open-Domain Question Answering with BERTserini
- Discovering Implicational Knowledge in Wikidata
- Graph Classification with Recurrent Variational Neural Networks
- A Simple Baseline for Bayesian Uncertainty in Deep Learning
- FDDB-360: Face Detection in 360-degree Fisheye Images
- Reversible GANs for Memory-efficient Image-to-Image Translation
- Review Conversational Reading Comprehension
- Distilling Policy Distillation
- Virtual Training for a Real Application: Accurate Object-Robot Relative Localization without Calibration
- BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning
- Beholder-GAN: Generation and Beautification of Facial Images with Conditioning on Their Beauty Level
- Optimized Compilation of Aggregated Instructions for Realistic Quantum Computers :star:
- Unsupervised Data Uncertainty Learning in Visual Retrieval Systems
- Understanding Chat Messages for Sticker Recommendation in Hike Messenger
- ML Health: Fitness Tracking for Production Models
- AdaScale: Towards Real-time Video Object Detection Using Adaptive Scaling
- Towards Federated Learning at Scale: System Design
- A Comprehensive Overview of Biometric Fusion
- Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning
- Software-Defined FPGA Accelerator Design for Mobile Deep Learning Applications
- Fourier Neural Networks: A Comparative Study
- Understanding Multi-Step Deep Reinforcement Learning: A Systematic Study of the DQN Target
- ELF OpenGo: An Analysis and Open Reimplementation of AlphaZero
- Task2Vec: Task Embedding for Meta-Learning
- Dropout is a special case of the stochastic delta rule: faster and more accurate deep learning
- Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving
- TensorSCONE: A Secure TensorFlow Framework using Intel SGX
- Fast-SCNN: Fast Semantic Segmentation Network
- Peeking into the Future: Predicting Future Person Activities and Locations in Videos
- GET-AID: Visual Recognition of Human Rights Abuses via Global Emotional Traits
- Deep learning and face recognition: the state of the art
- MultiResUNet : Rethinking the U-Net Architecture for Multimodal Biomedical Image Segmentation
- NAIL: A General Interactive Fiction Agent
- Toward Unsupervised Text Content Manipulation
- Quantum Entanglement in Deep Learning Architectures :star:
- Image Processing in Quantum Computers
- ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning
- Robustness Meets Deep Learning: An End-to-End Hybrid Pipeline for Unsupervised Learning of Egomotion
- Probabilistic Neural Architecture Search
- VR-Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control
- Pseudo-extended Markov chain Monte Carlo
- Task2Vec: Task Embedding for Meta-Learning
- Deep Reinforcement Learning for Search, Recommendation, and Online Advertising: A Survey
- Multi-task learning to improve natural language understanding
- Deep Reinforcement Learning Based High-level Driving Behavior Decision-making Model in Heterogeneous Traffic
- AutoQB: AutoML for Network Quantization and Binarization on Mobile Devices
- Crime Analysis using Open Source Information
- Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions
- WaveletFCNN: A Deep Time Series Classification Model for Wind Turbine Blade Icing Detection
- GeoGAN: A Conditional GAN with Reconstruction and Style Loss to Generate Standard Layer of Maps from Satellite Images
- Video Object Segmentation using Teacher-Student Adaptation in a Human Robot Interaction (HRI) Setting
- Real-world Anomaly Detection in Surveillance Videos
- Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions
- Transfer Learning for Sequence Labeling Using Source Model and Target Data
- Experimental Implementation of a Quantum Autoencoder via Quantum Adders
- Some Interesting Features of Memristor CNN :star:
- Competitive Experience Replay
- Machine Learning on Biomedical Images: Interactive Learning, Transfer Learning, Class Imbalance, and Beyond
- Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent
- Contextual Word Representations: A Contextual Introduction
- Deep Learning for Image Super-resolution: A Survey
- Fast Efficient Hyperparameter Tuning for Policy Gradients
- Seven Myths in Machine Learning Research
- WIDER Face and Pedestrian Challenge 2018: Methods and Results
- Towards Explainable AI: Significance Tests for Neural Networks
- Investigating Generalisation in Continuous Deep Reinforcement Learning
- CrossNorm: Normalization for Off-Policy TD Reinforcement Learning
- Depthwise Convolution is All You Need for Learning Multiple Visual Domains
- CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model
- Parenting: Safe Reinforcement Learning from Human Input
- Learned In Speech Recognition: Contextual Acoustic Word Embeddings
- Using Machine Learning to Guide Cognitive Modeling: A Case Study in Moral Reasoning
- Towards Hardware Implementation of Neural Network-based Communication Algorithms
- Language Models are Unsupervised Multitask Learners [code] :star:
- SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch and Color
- Random Search and Reproducibility for Neural Architecture Search
- ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing
- Transfusion: Understanding Transfer Learning with Applications to Medical Imaging
- An Autoencoder-based Learned Image Compressor: Description of Challenge Proposal by NCTU
- Video Face Recognition: Component-wise Feature Aggregation Network (C-FAN)
- POINTCLEANNET: Learning to Denoise and Remove Outliers from Dense Point Clouds
- Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent
- GSLAM: A General SLAM Framework and Benchmark
- The Devil is in the Decoder: Classification, Regression and GANs
- Going Deeper in Spiking Neural Networks: VGG and Residual Architectures
- Towards Real-time Eyeblink Detection in The Wild:Dataset,Theory and Practices
- Cloud-Based Autonomous Indoor Navigation: A Case Study
- Visualizing the Loss Landscape of Neural Nets
- Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection
- Using Machine Learning to Guide Cognitive Modeling: A Case Study in Moral Reasoning
- Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank
- Perceptual Quality-preserving Black-Box Attack against Deep Learning Image Classifiers
- Innateness, AlphaZero, and Artificial Intelligence
- Universal Deep Neural Network Compression
- Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey
- Deep Reinforcement Learning Based High-level Driving Behavior Decision-making Model in Heterogeneous Traffic
- Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer
- Multimodal Grounding for Sequence-to-Sequence Speech Recognition
- A Joint Deep Learning Approach for Automated Liver and Tumor Segmentation
- Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge
- Evaluating the Search Phase of Neural Architecture Search
- Topology of Learning in Artificial Neural Networks
- Evolutionary Neural AutoML for Deep Learning
- Simplifying Graph Convolutional Networks
- Adversarial Generation of Time-Frequency Features with application in audio synthesis
- Latent Translation: Crossing Modalities by Bridging Generative Models
- Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling :star:
- E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction
- Online Multi-Object Tracking with Instance-Aware Tracker and Dynamic Model Refreshment
- Comparison of Deep Neural Networks and Deep Hierarchical Models for Spatio-Temporal Data
- Distributionally Robust Reinforcement Learning
- The Multi-Lane Capsule Network (MLCN)
- Liability, Ethics, and Culture-Aware Behavior Specification using Rulebooks
- Pretraining-Based Natural Language Generation for Text Summarization
- GANSynth: Adversarial Neural Audio Synthesis
- Latent Translation: Crossing Modalities by Bridging Generative Models
- Scalable Hyperbolic Recommender Systems
- Dual Attention Networks for Visual Reference Resolution in Visual Dialog
- Improving Robustness of Machine Translation with Synthetic Noise
- A Survey of Crowdsourcing in Medical Image Analysis
- A large annotated medical image dataset for the development and evaluation of segmentation algorithms
- FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation
- DDFlow: Learning Optical Flow with Unlabeled Data Distillation
- Artificial Intelligence for Prosthetics - challenge solutions
- Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era
- NAS-Bench-101: Towards Reproducible Neural Architecture Search
- Diagnosing Bottlenecks in Deep Q-learning Algorithms
- TraVeLGAN: Image-to-image Translation by Transformation Vector Learning
- Data augmentation using learned transforms for one-shot medical image segmentation
- Multi-Scale Quasi-RNN for Next Item Recommendation
- Efficient Learning for Deep Quantum Neural Networks
- Social Credibility Incorporating Semantic Analysis and Machine Learning: A Survey of the State-of-the-Art and Future Research Directions
- Adaptive Caching via Deep Reinforcement Learning
- TensorMap: Lidar-Based Topological Mapping and Localization via Tensor Decompositions
- Coloring Big Graphs with AlphaGoZero :star:
- An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models :star:
- The Termination Critic
- How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection
- Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies
- DeepLO: Geometry-Aware Deep LiDAR Odometry
- Improving Missing Data Imputation with Deep Generative Models
- Accelerating Self-Play Learning in Go
- Reducing Artificial Neural Network Complexity: A Case Study on Exoplanet Detection
- Learning to See the Wood for the Trees: Deep Laser Localization in Urban and Natural Environments on a CPU
- Attention is not Explanation
- Implicit Kernel Learning
- Architecting Dependable Learning-enabled Autonomous Systems: A Survey
- On Constrained Open-World Probabilistic Databases
- Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning
- Learning to Generate Questions by Learning What not to Generate
- Domain-Constrained Advertising Keyword Generation
- Multilingual Neural Machine Translation with Knowledge Distillation
- StyleRemix: An Interpretable Representation for Neural Image Style Transfer
- Provable Guarantees for Gradient-Based Meta-Learning
- Deep Adversarial Network Alignment
- Multi-task hypernetworks
- Atomistic structure learning
01/2019
- Theory of Minds: Understanding Behavior in Groups Through Inverse Planning
- A Comprehensive Survey on Graph Neural Networks
- Face Recognition: A Novel Multi-Level Taxonomy based Survey
- DeepTraffic: Crowdsourced Hyperparameter Tuning of Deep Reinforcement Learning Systems for Multi-Agent Dense Traffic Navigation [code]
- Optimal Decision-Making in Mixed-Agent Partially Observable Stochastic Environments via Reinforcement Learning
- Floyd-Warshall Reinforcement Learning: Learning from Past Experiences to Reach New Goals
- A Critical Investigation of Deep Reinforcement Learning for Navigation
- Adversarial Examples versus Cloud-based Detectors: A Black-box Empirical Study
- Sheaves: A Topological Approach to Big Data
- AVA-ActiveSpeaker: An Audio-Visual Dataset for Active Speaker Detection
- Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning
- Text2Scene: Generating Compositional Scenes from Textual Descriptions
- Addressing Objects and Their Relations: The Conversational Entity Dialogue Model
- Designing for Democratization: Introducing Novices to Artificial Intelligence Via Maker Kits
- Elimination of All Bad Local Minima in Deep Learning
- Location-Centered House Price Prediction: A Multi-Task Learning Approach
- Credit Assignment Techniques in Stochastic Computation Graphs
- Human Pose Estimation with Spatial Contextual Information
- Generative Adversarial Networks for Financial Trading Strategies Fine-Tuning and Combination
- Multi-Objective Reinforced Evolution in Mobile Neural Architecture Search
- Quaternion Recurrent Neural Networks
- Ten ways to fool the masses with machine learning
- Unrepresentative video data: A review and evaluation
- Automated Pruning for Deep Neural Network Compression
- Learning Combinations of Activation Functions
- Bandwidth Reduction using Importance Weighted Pruning on Ring AllReduce
- Exploring applications of deep reinforcement learning for real-world autonomous driving systems :star:
- RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials
- Gauges, Loops, and Polynomials for Partition Functions of Graphical Models
- Channel Locality Block: A Variant of Squeeze-and-Excitation
- What Should I Do Now? Marrying Reinforcement Learning and Symbolic Planning
- Transferable Adversarial Attacks for Image and Video Object Detection
- LanczosNet: Multi-Scale Deep Graph Convolutional Networks
- Rethinking the Artificial Neural Networks: A Mesh of Subnets with a Central Mechanism for Storing and Predicting the Data
- Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud
- The ISTI Rapid Response on Exploring Cloud Computing 2018
- FIGR: Few-shot Image Generation with Reptile
- Multi-stream CNN based Video Semantic Segmentation for Automated Driving
- Multi-style Generative Reading Comprehension
- GILT: Generating Images from Long Text
- On the Capabilities and Limitations of Reasoning for Natural Language Understanding
- Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
- Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera
- Choosing the Right Word: Using Bidirectional LSTM Tagger for Writing Support Systems
- The Lingering of Gradients: How to Reuse Gradients over Time
- Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks
- Asteroids Detection Technique: Classic "Blink" An Automated Approch
- Machine learning topological phases in real space
- Dirichlet Variational Autoencoder
- Recurrent Control Nets for Deep Reinforcement Learning
- Spherical CNNs on Unstructured Grids
- Risk-Aware Active Inverse Reinforcement Learning
- Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks
- An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents
- Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation
- Revealing interpretable object representations from human behavior
- Deep Learning for Human Affect Recognition: Insights and New Developments
- Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context [code]
- Exploring Weight Symmetry in Deep Neural Networks
- Variable Importance Clouds: A Way to Explore Variable Importance for the Set of Good Models
- Motion Perception in Reinforcement Learning with Dynamic Objects
- Brief Review of Computational Intelligence Algorithms :star:
- PVSS: A Progressive Vehicle Search System for Video Surveillance Networks
- Learning Face Age Progression: A Pyramid Architecture of GANs
- Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications
- PFML-based Semantic BCI Agent for Game of Go Learning and Prediction
- Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation
- Accelerated Flow for Probability distributions
- On Finding Gray Pixels
- RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free
- Motion Perception in Reinforcement Learning with Dynamic Objects
- Deep Learning for Anomaly Detection: A Survey
- An investigation of model-free planning
- Dialog System Technology Challenge 7
- On Event Causality Detection in Tweets
- A Biologically Inspired Visual Working Memory for Deep Networks
- Agent-Agnostic Human-in-the-Loop Reinforcement Learning :star:
- Learning Pairwise Relationship for Multi-object Detection in Crowded Scenes
- Using Scene Graph Context to Improve Image Generation
- Real-time Joint Object Detection and Semantic Segmentation Network for Automated Driving
- Summarization and Visualization of Large Volumes of Broadcast Video Data
- Trace-back Along Capsules and Its Application on Semantic Segmentation
- LiFF: Light Field Features in Scale and Depth
- Human few-shot learning of compositional instructions
- Self-Supervised Deep Active Accelerated MRI
- Deep Fusion: An Attention Guided Factorized Bilinear Pooling for Audio-video Emotion Recognition
- Toward Explainable Fashion Recommendation
- A Tweet Dataset Annotated for Named Entity Recognition and Stance Detection
- DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
- Transfer Learning for Prosthetics Using Imitation Learning
- Approaching Ethical Guidelines for Data Scientists
- Identifying and Correcting Label Bias in Machine Learning
- Low Precision Constant Parameter CNN on FPGA
- Global-to-local Memory Pointer Networks for Task-Oriented Dialogue
- Tango: A Deep Neural Network Benchmark Suite for Various Accelerators
- Fair and Unbiased Algorithmic Decision Making: Current State and Future Challenges
- AutoPhase: Compiler Phase-Ordering for High Level Synthesis with Deep Reinforcement Learning
- The Limitations of Adversarial Training and the Blind-Spot Attack
- ALiPy: Active Learning in Python
- Hybrid Recommender Systems: A Systematic Literature Review
- Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding
- Recombination of Artificial Neural Networks
- Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
- A deep learning approach to solar-irradiance forecasting in sky-videos
- Interpretable machine learning: definitions, methods, and applications
- Cascade Decoder: A Universal Decoding Method for Biomedical Image Segmentation
- TensorFlow.js: Machine Learning for the Web and Beyond
- Attentive Neural Processes :star:
- Convolutional Neural Networks combined with Runge-Kutta Methods
- Learning from Dialogue after Deployment: Feed Yourself, Chatbot!
- Virtual-to-Real-World Transfer Learning for Robots on Wilderness Trails
- VR-Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control
- AuxNet: Auxiliary tasks enhanced Semantic Segmentation for Automated Driving
- Artificial Neural Networks
- Applying SVGD to Bayesian Neural Networks for Cyclical Time-Series Prediction and Inference
- Assessing BERT's Syntactic Abilities
- EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale Neural Architecture Search
- UltraCompression: Framework for High Density Compression of Ultrasound Volumes using Physics Modeling Deep Neural Networks
- Primitive-based 3D Building Modeling, Sensor Simulation, and Estimation
- The Oracle of DLphi
- Recent Advances in Autoencoder-Based Representation Learning
- Towards Building the Semantic Map from a Monocular Camera with a Multi-task Network
- DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
- Auto-Retoucher(ART) - A framework for Background Replacement and Image Editing
- Ensemble Feature for Person Re-Identification
- Machine Learning Techniques for Brand-Influencer Matchmaking on the Instagram Social Network
- Predicting Variable Types in Dynamically Typed Programming Languages
- Light-Field for RF
- Passage Re-ranking with BERT
- Learning to Design Circuits
- Video-Based Pedestrian Attribute Recognition
- Genetic Algorithms and the Traveling Salesman Problem a historical Review
- Evolving embodied intelligence from materials to machines
- CodeX: Bit-Flexible Encoding for Streaming-based FPGA Acceleration of DNNs
- Survey of Bayesian Networks Applications on Unmanned Intelligent Autonomous Vehicles
- Deep learning-based electroencephalography analysis: a systematic review
- Evolutionarily-Curated Curriculum Learning for Deep Reinforcement Learning Agents
- Optimization Models for Machine Learning: A Survey
- Solar-Sail Trajectory Design of Multiple Near Earth Asteroids Exploration Based on Deep Neural Network
- Block Argumentation
- Natively Interpretable Machine Learning and Artificial Intelligence: Preliminary Results and Future Directions
- NeuNetS: An Automated Synthesis Engine for Neural Network Design
- WALL-E: An Efficient Reinforcement Learning Research Framework
- Learning Dexterous In-Hand Manipulation
- Training Neural Networks with Local Error Signals
- Robust Recovery Controller for a Quadrupedal Robot using Deep Reinforcement Learning
- cross-lingual Language Model Pretraining
- DF-SLAM: A Deep-Learning Enhanced Visual SLAM System based on Deep Local Features
- Improved Selective Refinement Network for Face Detection
- Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks
- Design of Real-time Semantic Segmentation Decoder for Automated Driving
- Causal Reasoning from Meta-reinforcement Learning
- Automated Essay Scoring based on Two-Stage Learning
- Decoupled Greedy Learning of CNNs
- Open-ended Learning in Symmetric Zero-sum Games
- Learning Neurosymbolic Generative Models via Program Synthesis
- Emotion Detection and Analysis on Social Media
- Large-Batch Training for LSTM and Beyond
- Theoretically Principled Trade-off between Robustness and Accuracy
- TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
- QGAN: Quantized Generative Adversarial Networks
- Explainable Failure Predictions with RNN Classifiers based on Time Series Data
- Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search
- TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
- Learning Neurosymbolic Generative Models via Program Synthesis
- Three principles of data science: predictability, computability, and stability (PCS)
- Understanding Geometry of Encoder-Decoder CNNs
- PuppetGAN: Transferring Disentangled Properties from Synthetic to Real Images
- Finding Archetypal Spaces for Data Using Neural Networks
- Generating Textual Adversarial Examples for Deep Learning Models: A Survey
- Using Pre-Training Can Improve Model Robustness and Uncertainty
- Non-computability of human intelligence
- Evaluating Generalization Ability of Convolutional Neural Networks and Capsule Networks for Image Classification via Top-2 Classification
- DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks
- Hierarchically Clustered Representation Learning
- Close to Human Quality TTS with Transforme
- Lyapunov-based Safe Policy Optimization for Continuous Control
- A deep learning framework for assessment of quality of rehabilitation exercises
- Limitations of Assessing Active Learning Performance at Runtime
- Evaluating Word Embedding Models: Methods and Experimental Results
- Cloud-Net: An end-to-end Cloud Detection Algorithm for Landsat 8 Imagery
- BioBERT: a pre-trained biomedical language representation model for biomedical text mining
- Generalized Label Propagation Methods for Semi-Supervised Learning
- Pay Less Attention with Lightweight and Dynamic Convolutions
- FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals
- Guiding Policies with Language via Meta-Learning
- A BERT Baseline for the Natural Questions
- MultiLock: Mobile Active Authentication based on Multiple Biometric and Behavioral Patterns
- Fair Regression for Health Care Spending
- Revisiting Self-Supervised Visual Representation Learning
- The Value Function Polytope in Reinforcement Learning
- A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
- Go-Explore: a New Approach for Hard-Exploration Problems
- DDSL: Deep Differentiable Simplex Layer for Learning Geometric Signals
- The Evolved Transformer
- HyperGAN: A Generative Model for Diverse, Performant Neural Networks
- Twitter Job/Employment Corpus: A Dataset of Job-Related Discourse Built with Humans in the Loop
- Learning and Evaluating General Linguistic Intelligence
- The Value Function Polytope in Reinforcement Learning
- Multi-Task Deep Neural Networks for Natural Language Understanding
- Shaping the Narrative Arc: An Information-Theoretic Approach to Collaborative Dialogue
- The Second Conversational Intelligence Challenge (ConvAI2)
- Probabilistic Discriminative Learning with Layered Graphical Models
- Towards Machine-assisted Meta-Studies: The Hubble Constant
- DeepISP: Towards Learning an End-to-End Image Processing Pipeline
- Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going
- Combating Fake News: A Survey on Identification and Mitigation Techniques
- Go-Explore: a New Approach for Hard-Exploration Problems
- A Modular Benchmarking Infrastructure for High-Performance and Reproducible Deep Learning
- Deep Learning for Video Game Playing
- Deep Discriminative Representation Learning with Attention Map for Scene Classification
- Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent
- Fixup Initialization: Residual Learning Without Normalization :star:
- Predictive Maintenance in Photovoltaic Plants with a Big Data Approach
12/2018
- Theory of Cognitive Relativity: A Promising Paradigm for True AI
- Modeling Theory of Mind for Autonomous Agents with Probabilistic Programs
- Bag of Tricks for Image Classification with Convolutional Neural Networks
- Learning 3D Human Dynamics from Video
- MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language
- Designing quantum experiments with a genetic algorithm
- SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications
- ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
- Brief survey of Mobility Analyses based on Mobile Phone Datasets
- Wireless Data Acquisition for Edge Learning: Importance Aware Retransmission
- An Introduction to Deep Reinforcement Learning
- Visual Object Networks: Image Generation with Disentangled 3D Representation
- Project Rosetta: A Childhood Social, Emotional, and Behavioral Developmental Ontology
- Forging new worlds: high-resolution synthetic galaxies with chained generative adversarial networks
- Online Model Distillation for Efficient Video Inference
- Adversarial Vision Challenge
- Recursive Visual Attention in Visual Dialog
- Deep Architectures for Learning Context-dependent Ranking Functions
- Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces
- e-SNLI: Natural Language Inference with Natural Language Explanations
- Towards High Resolution Video Generation with Progressive Growing of Sliced Wasserstein GANs
- Tube-CNN: Modeling temporal evolution of appearance for object detection in video
- Computer Vision for Autonomous Vehicles
- A Parallel Divide-and-Conquer based Evolutionary Algorithm for Large-scale Optimization
- Sim-to-Real Optimization of Complex Real World Mobile Network with Imperfect Information via Deep Reinforcement Learning from Self-play
- Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting
- HAQ: Hardware-Aware Automated Quantization
- Meta-Transfer Learning for Few-Shot Learning
- Security and Privacy Issues in Deep Learning
- DNQ: Dynamic Network Quantization
- Summarizing Videos with Attention
- Exploring galaxy evolution with generative models
- EENMF: An End-to-End Neural Matching Framework for E-Commerce Sponsored Search
- Visual Attention for Behavioral Cloning in Autonomous Driving
- Law and Adversarial Machine Learning
- A Style-Based Generator Architecture for Generative Adversarial Network
- Improving fairness in machine learning systems: What do industry practitioners need?
- Gaussian Process Deep Belief Networks: A Smooth Generative Model of Shape with Uncertainty Propagation
- IRLAS: Inverse Reinforcement Learning for Architecture Search
- Learning to Communicate: A Machine Learning Framework for Heterogeneous Multi-Agent Robotic Systems
- Adversarial Transfer Learning
- Neural Approaches to Conversational AI
- Revisiting Exploration-Conscious Reinforcement Learning
- Deep Face Image Retrieval: a Comparative Study with Dictionary Learning
- TextBugger: Generating Adversarial Text Against Real-world Applications
- A comparison of cluster algorithms as applied to unsupervised surveys
- On-line Adaptative Curriculum Learning for GANs
- Transfer Learning using Representation Learning in Massive Online Open Courses
- DeepProbLog: Neural Probabilistic Logic Programming
- Linking Artificial Intelligence Principles
- Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation
- Gaussian Process Deep Belief Networks: A Smooth Generative Model of Shape with Uncertainty Propagation
- Comixify: Transform video into a comics
- Policy Search in Continuous Action Domains: an Overview
- Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders
- Bayesian Optimization in AlphaGo
- A Tutorial on Deep Latent Variable Models of Natural Language
- Traceability of Deep Neural Networks
- TechKG: A Large-Scale Chinese Technology-Oriented Knowledge Graph
- Towards Real-Time Accurate Object Detection in Both Images and Videos Based on Dual Refinement
- The Entropy of Artificial Intelligence and a Case Study of AlphaZero from Shannon's Perspective
- Contingency-Aware Exploration in Reinforcement Learning
- Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference
- Latent Dirichlet Allocation in Generative Adversarial Networks
- Quantum Memristors in Quantum Photonics
- A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms and Software
- Evolutionary Neural Architecture Search for Image Restoration
- DVC: An End-to-end Deep Video Compression Framework
- Soft Actor-Critic Algorithms and Applications
- Imitation Learning for End to End Vehicle Longitudinal Control with Forward Camera
- End to End Video Segmentation for Driving : Lane Detection For Autonomous Car
- Deep Learning on Graphs: A Survey
- Why Self-Attention? A Targeted Evaluation of Neural Machine Translation Architectures
- Scaling shared model governance via model splitting
- FML: Face Model Learning from Videos
- Generative One-Shot Learning (GOL): A Semi-Parametric Approach to One-Shot Learning in Autonomous Vision
- Machine Learning in Cyber-Security - Problems, Challenges and Data Sets
- Deep Paper Gestalt
- Deep Learning for Classical Japanese Literature
- Learning On-Road Visual Control for Self-Driving Vehicles with Auxiliary Tasks
- Progressive Data Science: Potential and Challenges
- A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series
- Molecular Dynamics with Neural-Network Potentials
- Graph Neural Networks: A Review of Methods and Applications
- wav2letter++: The Fastest Open-source Speech Recognition System
- A Survey of Hierarchy Identification in Social Networks
- nocaps: novel object captioning at scale
- Optimization Methods for Large-Scale Machine Learning
- Deep Graph Infomax
- Variational Cross-domain Natural Language Generation for Spoken Dialogue Systems
- The Design and Implementation of XiaoIce, an Empathetic Social Chatbot
- GamePad: A Learning Environment for Theorem Proving
- Lenia - Biology of Artificial Life
- Generalisation in humans and deep neural networks
- Learning from Web Data: the Benefit of Unsupervised Object Localization
- Learning to Navigate the Web
- Sample Efficient Adaptive Text-to-Speech
- A Gentle Introduction to Deep Learning in Medical Image Processing
- ProMP: Proximal Meta-Policy Search
- A Multi-task Neural Approach for Emotion Attribution, Classification and Summarization
- Face Hallucination Revisited: An Exploratory Study on Dataset Bias
- Lifelong Testing of Smart Autonomous Systems by Shepherding a Swarm of Watchdog Artificial Intelligence Agents
- Analysis Methods in Neural Language Processing: A Survey
- Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications
- Dialog-based Interactive Image Retrieval
- Quantifying Generalization in Reinforcement Learning
- DeepFakes: a New Threat to Face Recognition? Assessment and Detection
- Tiramisu: A Polyhedral Compiler for Expressing Fast and Portable Code
- Generalization Error in Deep Learning
- Photo Wake-Up: 3D Character Animation from a Single Photo
- Data-Efficient Hierarchical Reinforcement Learning
- A General Approach to Domain Adaptation with Applications in Astronomy
- A Survey on Deep Learning for Named Entity Recognition
- Parallelized Interactive Machine Learning on Autonomous Vehicles
- Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness
- Training Deep Capsule Networks :star:
- Deep Learning for Inferring the Surface Solar Irradiance from Sky Imagery
- Learning Not to Learn: Training Deep Neural Networks with Biased Data
- RegNet: Learning the Optimization of Direct Image-to-Image Pose Registration
- GaussianProcesses.jl: A Nonparametric Bayes package for the Julia Language
- Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks
- Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
- Structure Learning of Sparse GGMs over Multiple Access Networks
- Large Multistream Data Analytics for Monitoring and Diagnostics in Manufacturing Systems
- ECG Segmentation by Neural Networks: Errors and Correction
- A Review on The Use of Deep Learning in Android Malware Detection
- Informative Object Annotations: Tell Me Something I Don't Know
- A Multi-Stream Convolutional Neural Network Framework for Group Activity Recognition
- Reward Constrained Policy Optimization
- Perceptrons from Memristors
- How Powerful are Graph Neural Networks?
- Optimizing Market Making using Multi-Agent Reinforcement Learning
- End-to-End Latent Fingerprint Search
- When Does Stochastic Gradient Algorithm Work Well?
- General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms
- Portfolio Optimization for Cointelated Pairs: SDEs vs. Machine Learning
- Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications :star:
- Fingerprint Presentation Attack Detection: Generalization and Efficiency
- Tied Hidden Factors in Neural Networks for End-to-End Speaker Recognition
- SLIM LSTMs
- Partially Non-Recurrent Controllers for Memory-Augmented Neural Networks
- ATHENA: Automated Tuning of Genomic Error Correction Algorithms using Language Models
- Deep Residual Learning in the JPEG Transform Domain
- A dataset of 40K naturalistic 6-degree-of-freedom robotic grasp demonstrations
- ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers
- Predicting Aircraft Trajectories: A Deep Generative Convolutional Recurrent Neural Networks Approach
- Improving fairness in machine learning systems: What do industry practitioners need?
- Meta Reinforcement Learning with Distribution of Exploration Parameters Learned by Evolution Strategies
- Greedy Layerwise Learning Can Scale to ImageNet
- CamLoc: Pedestrian Location Detection from Pose Estimation on Resource-constrained Smart-cameras
- Learn to Interpret Atari Agents
- BNN+: Improved Binary Network Training
- AIR5: Five Pillars of Artificial Intelligence Research
- Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching
- CoSpace: Common Subspace Learning from Hyperspectral-Multispectral Correspondences
- ORIGAMI: A Heterogeneous Split Architecture for In-Memory Acceleration of Learning
- Learning to Design RNA
- Safety and Trustworthiness of Deep Neural Networks: A Survey :star:
- Deep Learning on Graphs: A Survey
- Machine Learning at the Edge: A Data-Driven Architecture with Applications to 5G Cellular Networks
- Car Detection using Unmanned Aerial Vehicles: Comparison between Faster R-CNN and YOLOv3
11/2018
- Horizon: Facebook's Open Source Applied Reinforcement Learning Platform [code]
- Applications of Deep Learning to Nuclear Fusion Research
- Towards Explainable NLP: A Generative Explanation Framework for Text Classification
- CariGANs: Unpaired Photo-to-Caricature Translation
- Predicting Demographics, Moral Foundations, and Human Values from Digital Behaviors
- Algorithms for screening of Cervical Cancer: A chronological review
- A Survey on Natural Language Processing for Fake News Detection
- The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale
- A Fast Algorithm for Clustering of High Dimensional Feature Vectors
- Toward an AI Physicist for Unsupervised Learning
- You Only Search Once: Single Shot Neural Architecture Search via Direct Sparse Optimization
- Evolutionary Data Measures: Understanding the Difficulty of Text Classification Tasks
- Security for Machine Learning-based Systems: Attacks and Challenges during Training and Inference
- Language GANs Falling Short
- Are Deep Policy Gradient Algorithms Truly Policy Gradient Algorithms?
- Learning from Demonstration in the Wild
- A Survey on Data Collection for Machine Learning: a Big Data - AI Integration Perspective
- Mesh-TensorFlow: Deep Learning for Supercomputers
- ImageNet/ResNet-50 Training in 224 Seconds
- Natural Environment Benchmarks for Reinforcement Learning
- Reward learning from human preferences and demonstrations in Atari :star:
- Mathematical Analysis of Adversarial Attacks
- Going Deeper with Semantics: Video Activity Interpretation using Semantic Contextualization
- Towards Explainable Deep Learning for Credit Lending: A Case Study
- Preliminary Studies on a Large Face Database
- Effect of data reduction on sequence-to-sequence neural TTS
- Effects of Dataset properties on the training of GANs
- On-line Adaptative Curriculum Learning for GANs
- GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism
- Active Inverse Reward Design
- DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks
- Incentivizing the Dynamic Workforce: Learning Contracts in the Gig-Economy
- ConvS2S-VC: Fully convolutional sequence-to-sequence voice conversion
- An Algorithmic Perspective on Imitation Learning
- DeRPN: Taking a further step toward more general object detection
- Activation Maximization Generative Adversarial Nets
- CADP: A Novel Dataset for CCTV Traffic Camera based Accident Analysis
- Streaming End-to-end Speech Recognition For Mobile Devices
- Economics of Human-AI Ecosystem: Value Bias and Lost Utility in Multi-Dimensional Gaps
- Scalable agent alignment via reward modeling: a research direction :star:
- Automatic Paper Summary Generation from Visual and Textual Information
- Learned Video Compression
- PydMobileNet: Improved Version of MobileNets with Pyramid Depthwise Separable Convolution
- Image Classification at Supercomputer Scale
- The PyTorch-Kaldi Speech Recognition Toolkit
- Adversarial Autoencoders for Generating 3D Point Clouds
- Large Scale GAN Training for High Fidelity Natural Image Synthesis
- An Introduction to Image Synthesis with Generative Adversarial Nets
- When Conventional machine learning meets neuromorphic engineering: Deep Temporal Networks (DTNets) a machine learning frawmework allowing to operate on Events and Frames and implantable on Tensor Flow Like Hardware
- Improving Natural Language Inference Using External Knowledge in the Science Questions Domain
- On Human Robot Interaction using Multiple Modes
- Guiding Policies with Language via Meta-Learning
- Improving Automatic Source Code Summarization via Deep Reinforcement Learning
- Pitfalls of Graph Neural Network Evaluation
- Emergence of linguistic conventions in multi-agent reinforcement learning
- The Mirage of Action-Dependent Baselines in Reinforcement Learning
- Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning
- The Mafiascum Dataset: A Large Text Corpus for Deception Detection
- Deeper Interpretability of Deep Networks
- High Speed Event-based Face Detection and Tracking in the Blink of an Eye
- Explicit Bias Discovery in Visual Question Answering Models
- Generative Adversarial Network Architectures For Image Synthesis Using Capsule Networks
- Towards Global Explanations for Credit Risk Scoring
- Watermark Retrieval from 3D Printed Objects via Convolutional Neural Networks
- Deep Active Learning with a Neural Architecture Search
- iQIYI-VID: A Large Dataset for Multi-modal Person Identification
- HAQ: Hardware-Aware Automated Quantization
- Artificial Intelligence-Defined 5G Radio Access Networks
- Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs
- 50 Years of Test (Un)fairness: Lessons for Machine Learning
- European Union regulations on algorithmic decision-making and a "right to explanation"
- Gradient Descent Finds Global Minima of Deep Neural Networks
- GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
- Context-Aware Crowd Counting
- InstaNAS: Instance-aware Neural Architecture Search
- Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications
- Machine Learning for Health (ML4H) Workshop at NeurIPS 2018
- Representation Mixing for TTS Synthesis
- Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search
- Robust Artificial Intelligence and Robust Human Organizations :star:
- Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions
- MLModelScope: Evaluate and Measure ML Models within AI Pipelines
- From Recognition to Cognition: Visual Commonsense Reasoning
- Interpretable Convolutional Filters with SincNet
- Dataset Distillation
- LSTA: Long Short-Term Attention for Egocentric Action Recognition
- Feature-Fused SSD: Fast Detection for Small Objects
- Deformable ConvNets v2: More Deformable, Better Results
- TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer
- A computational perspective of the role of Thalamus in cognition
- Towards Long-Term Memory for Social Robots: Proposing a New Challenge for the RoboCup@Home League
- Automated Algorithm Selection: Survey and Perspectives
- LRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the Wild
- Towards Decentralization of Social Media
- Neuro-memristive Circuits for Edge Computing: A review
- Deep Reinforcement Learning for Autonomous Driving
- Actor-Critic Policy Optimization in Partially Observable Multiagent Environments
- Prioritizing Starting States for Reinforcement Learning
- DLHub: Model and Data Serving for Science
- Towards Identifying and Managing Sources of Uncertainty in AI and Machine Learning Models - An Overview
- Kalman filter demystified: from intuition to probabilistic graphical model to real case in financial markets
- Snap ML: A Hierarchical Framework for Machine Learning
- Face Detection in the Operating Room: Comparison of State-of-the-art Methods and a Self-supervised Approach
- Demonstrating Advantages of Neuromorphic Computation: A Pilot Study
- ShelfNet for Real-time Semantic Segmentation
- Attentive Relational Networks for Mapping Images to Scene Graphs
- ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving
- Recurrent Relational Networks
- Fashion-Gen: The Generative Fashion Dataset and Challenge
- A Century Long Commitment to Assessing Artificial Intelligence and its Impact on Society
- Foot Pressure from Video: A Deep Learning Approach to Predict Dynamics from Kinematics
- Measure, Manifold, Learning, and Optimization: A Theory Of Neural Networks
- Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
10/2018
- The Profiling Machine: Active Generalization over Knowledge
- AI Benchmark: Running Deep Neural Networks on Android Smartphones
- A deep learning pipeline for product recognition on store shelves
- MyCaffe: A Complete C# Re-Write of Caffe with Reinforcement Learning
- Quantum Artificial Life in an IBM Quantum Computer
- Finding Solutions to Generative Adversarial Privacy
- Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA
- Scaling Video Analytics Systems to Large Camera Deployments
- From Soft Classifiers to Hard Decisions: How fair can we be?
- AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
- Comparison of Reinforcement Learning algorithms applied to the Cart Pole problem
- Auto-Keras: Efficient Neural Architecture Search with Network Morphism
- An Overview on Application of Machine Learning Techniques in Optical Networks
- A Tale of Three Probabilistic Families: Discriminative, Descriptive and Generative Models
- Transfer Metric Learning: Algorithms, Applications and Outlooks
- Secure Deep Learning Engineering: A Software Quality Assurance Perspective
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding [code] [code] :star:
- Is multiagent deep reinforcement learning the answer or the question? A brief survey
- CURIOUS: Intrinsically Motivated Multi-Task, Multi-Goal Reinforcement Learning
- On the Margin Theory of Feedforward Neural Networks
- Private Machine Learning in TensorFlow using Secure Computation
- Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
- Automatic Full Compilation of Julia Programs and ML Models to Cloud TPUs
- Intrinsic Social Motivation via Causal Influence in Multi-Agent RL
- Do Deep Generative Models Know What They Don't Know?
- Neighbourhood Consensus Networks
- The Uncertainty Bellman Equation and Exploration
- Humans are still the best lossy image compressors
- Model-Based Active Exploration
- Reversible Recurrent Neural Networks
- Graph Convolutional Reinforcement Learning for Multi-Agent Cooperation
- Multi-Agent Common Knowledge Reinforcement Learning
- Tackling Sequence to Sequence Mapping Problems with Neural Networks
- Applying Deep Learning To Airbnb Search
- Inverse reinforcement learning for video games
- Fast and accurate object detection in high resolution 4K and 8K video using GPUs
- Towards Efficient Large-Scale Graph Neural Network Computing
- An Exploration of Dropout with RNNs for Natural Language Inference
- Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells
- Memory Replay GANs: learning to generate images from new categories without forgetting
- You May Not Need Attention [code]
- Face Recognition: From Traditional to Deep Learning Methods
- Democratizing Production-Scale Distributed Deep Learning
- Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation
- WaveGlow: A Flow-based Generative Network for Speech Synthesis
- Dial2Desc: End-to-end Dialogue Description Generation
- Taking Human out of Learning Applications: A Survey on Automated Machine Learning
- DeepMasterPrints: Generating MasterPrints for Dictionary Attacks via Latent Variable Evolution
09/2018
- Hamiltonian Descent Methods
- Deep Learning for Generic Object Detection: A Survey
- Unity: A General Platform for Intelligent Agents
- Five lessons from building a deep neural network recommender for marketplaces
- Focus Group on Artificial Intelligence for Health
- Deep Learning in Information Security
- LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts
- IncSQL: Training Incremental Text-to-SQL Parsers with Non-Deterministic Oracles
- Identifying Real Estate Opportunities using Machine Learning
- Deep Learning Towards Mobile Applications
- HappyDB: A Corpus of 100,000 Crowdsourced Happy Moments
- Urban morphology meets deep learning: Exploring urban forms in one million cities, town and villages across the planet
- Graph Convolutional Networks for Text Classification
- Identifying Generalization Properties in Neural Networks
- Towards Deep and Representation Learning for Talent Search at LinkedIn
- Cellular automata as convolutional neural networks
- Realistic Evaluation of Deep Semi-Supervised Learning Algorithms
- AlphaSeq: Sequence Discovery with Deep Reinforcement Learning
- Learning to Interpret Satellite Images Using Wikipedia
- Visual Analytics for Automated Model Discovery
- GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration
- Stakeholders in Explainable AI
- Adversarial Attacks and Defences: A Survey
- Audio-Visual Speech Recognition With A Hybrid CTC/Attention Architecture
- Deep Learning in Mobile and Wireless Networking: A Survey
- Hierarchical Deep Multiagent Reinforcement Learning
- Massively Parallel Hyperparameter Tuning
08/2018
- Backprop Evolution
- Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation
- Large Scale Language Modeling: Converging on 40GB of Text in Four Hours. paper
- RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
- Neural Arithmetic Logic Units
- CornerNet: Detecting Objects as Paired Keypoints
- A Survey on Deep Transfer Learning
- YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud
- Dialog-context aware end-to-end speech recognition
- An Efficient Deep Reinforcement Learning Model for Urban Traffic Control
- Predicting Expressive Speaking Style From Text In End-To-End Speech Synthesis
- GeneSys: Enabling Continuous Learning through Neural Network Evolution in Hardware
- Application of End-to-End Deep Learning in Wireless Communications Systems
- A Short Note about Kinetics-600
- Smart City Development with Urban Transfer Learning
- Deep Learning Advances on Different 3D Data Representations: A Survey
- Skill Rating for Generative Models. paper
- Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network. paper
- Hierarchical Attention: What Really Counts in Various NLP Tasks . paper
- Neural Architecture Search: A Survey. paper
- Rapid Adaptation of Neural Machine Translation to New Languages. paper
- A Survey on Sentiment and Emotion Analysis for Computational Literary Studies. paper
- Video-to-Video Synthesis. arxiv [code]
- CoQA: A Conversational Question Answering Challenge. arxiv
- QuAC : Question Answering in Context. arxiv
- Everybody Dance Now. paper
- Contextual Parameter Generation for Universal Neural Machine Translation. paper
- Fusion++: Volumetric Object-Level SLAM. paper
- Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs
- FPGA Implementation of Convolutional Neural Networks with Fixed-Point Calculations
- Generalisation in humans and deep neural networks
- All You Need is "Love": Evading Hate-speech Detection
07/2018
- Troubling Trends in Machine Learning Scholarship
- Machine Learning in High Energy Physics Community White Paper
- Quasi-Dilemmas for Artificial Moral Agents
- Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences
- Comparing Dynamics: Deep Neural Networks versus Glassy Systems
- Financial Trading as a Game: A Deep Reinforcement Learning Approach
- Natural Language Processing for Information Extraction
- Video Summarisation by Classification with Deep Reinforcement Learning
- Generative models on accelerated neuromorphic hardware
- A Survey of Knowledge Representation and Retrieval for Learning in Service Robotics
- Zipf's law in 50 languages: its structural pattern, linguistic interpretation, and cognitive motivation
- JUMPER: Learning When to Make Classification Decisions in Reading
- Universal Word Segmentation: Implementation and Interpretation
- End-to-End Race Driving with Deep Reinforcement Learning
- Taskonomy: Disentangling Task Transfer Learning
- ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech. arxiv
- Hierarchical Multi Task Learning With CTC. arxiv
- When deep learning meets security. arxiv
- Object Detection with Deep Learning: A Review. arxiv
- Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search. arxiv
- Implementing Neural Turing Machines
- Talk the Walk: Navigating New York City through Grounded Dialogue
- The Lottery Ticket Hypothesis: Finding Small, Trainable Neural Networks
- Learning by Asking Questions
- Deep learning in agriculture: A survey
- Learning Plannable Representations with Causal InfoGAN, ICML / IJCAI / AAMAS 2018 Workshop on(PAL-18).
- Progressive Neural Architecture Search
- Variational Bayesian Reinforcement Learning with Regret Bounds
- Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes
- Learning from Delayed Outcomes with Intermediate Observations
- A Survey of the Usages of Deep Learning in Natural Language Processing
- The GAN Landscape: Losses, Architectures, Regularization, and Normalization
- Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures
- TherML: Thermodynamics of Machine Learning
- Neural Processes
- GAN Q-learning
- LaneNet: Real-Time Lane Detection Networks for Autonomous Driving
- TextWorld: A Learning Environment for Text-based Games, ICML/IJCAI 2018.
- Perceptrons from Memristors
- Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model
- Large-Scale Visual Speech Recognition
|| dl-research-groups | dl-frameworks | dl1+dl2 | awesome-dl+roadmap+ml | CB-Insights_AI-100 + AI100_2 | ai-angelList | machine-learning-surveys |graph-based-deep-learning-literature||
|| a--rnn | a-deep-vision | a--random-forest | a-computer-vision | a-deep-learning | a-p | d-l-p | drlp | DeepLearningImplementations | drlp2 | dl-papernotes | dl-r | med-appl | very-dl | nn.papers | a-GAN | rl.papers| dnn.med | cuda.programming | caltech.cuda | rtb-papers | deep-learning-nlp-rl-papers | nips2017 | deep_learning_object_detection | MLiterature ||
|| Outline of artificial intelligence | Outline of machine learning | Outline of computer vision | Outline of natural language processing | Outline of robotics | List of datasets for machine learning research| ai applications | UCI.ML.DATASETS | public.datasets | kaggle.datasets | datasets.gh.list | Origin_of_speech ||
|| awesome-nlp | nlp_tasks | DeepNLP-models-Pytorch | oxford.nlp.lectures | stanford.nlp.lectures | nltk.org/book | DL4NLP | cs388.utexas.nlp | nlp-datasets | DL-NLP-Readings | gt-nlp-class| GNNPapers ||
ML/DL Publications
- Arxiv Sanity Preserver
- NIPS
- ICML-17
- AAAI
- CVPapers
- arxiv.ml
- arxiv.cvpr
- arxiv.ai
- arxiv.ne
- arxiv.ro
- arxiv.nc
- hinton
- MILA
- FAIR
- deepmind
- brain team
- andrewng
- yann.lecun,nyu
- manning
- hiit.neuro
- grey.colorado.edu.CCNL
- dbsystem
- nvidia.ml.research
- stanford.vision.lab
- BAIR.people + courses
- CSAIL.people + publications
- SAIL.people + courses
- google.machineIntelligence
- google.MachinePerception
- google.MachineTranslation
- google.NaturalLanguageProcessing
- google.AIResidency
- scholar.cvpr
- scholar.ai
- scholar.gt
- scholar.ro
- shoham
- ai.people
- ml.people
- AAAI.fellows
- UTA.ai
- UTA.dml
- wildml
- rl.gh.p
- nn.gh.p
- openai.requests.research
- psy.ox.ac.uk
- cs.ox.ac.uk
- CV.people
- arXivTimes
ML/DL Implementations
- deepmind.gh.code
- openai.gh.code
- facebookresearch.gh.code
- frameworks.dl
- ml.python
- deep.nlp.models.pytorch
- rl
- dl.keras.tf
- pytorch.list
- ml.algorithms
- cnn.benchmarks
- pytorch.tut
- pytorch.ex
- torch.start
- dl.tool
- rl.tf
- DCGAN.tf
- ntm.tf
- neural.style
- torch.rnn
- stanford.dl.ex
- deepq.tf
- gan
- ml.hackers.code.r
- bayesian.code.jn
- nn.dl.code
- nn.java
- ml.go
- numenta.gh.code
- tensorflow.gh.code
- neural.doodle.code
- ml.sf.engineering
- tf.models
- DL4NLP
- neural.style.torch
- opencog
- ml.jn.scikit
- bayesian.PyMC3
- tf.ex
- ALE
- aima.py
- deeplearning4j.code
- tflearn.tf
- resnet
- stanford.tf
- top.dl
- tensorlayer.dl.rl
- dl.keras
- dl.docker
- dl.list
- mila.gh.code
- microsoft.gh.code
- CSAILVision.gh.code
- NVIDIA.gh.code
- OpenNMT.code
- Tencent.code
- baidu.code
- stanfordnlp.code
- sar.ml
- sony.code
- ml
- PrincetonVision.code
- commaai.code
- NervanaSystems.code
- pytorch.code
- torch.code
- automl.code
- chainer.code
- dmlc.code
- BVLC.code
- caffe2.code
- aimacode.code
- opencog.code
- opencv.code
- oxford.deepnlp
- USC.ds.code
- gensim.nlp.ir
- scikit.learn.code
- tesseract.code
- ds.ipython
- ml.book
- ccs.video.cources
- eff.tf
- ml.tut
- swift.ai
- tf.book
- ml.mindmaps
- dl
- h2o.ai
- fast.ai
- tf.tut
- tf.tut
- PipelineAI
- PRML
- mlpack
- mit.nlp
- scikit.learn.contrib
- mit.ml.pdf
- ml.py.book
- onnx.code
- aml.sf
- dmml.sf
- prolog.ai
- deep.rl.1
- deep.rl.pytorch
- dl.tut
- dl.trade
- benchm.ml
- dl.java
- dl.tf
- self-car.ai
- dql
- drl.berkeley
- PAIR-code
- fast.ai
- courses.fast.ai
- cs231n.stanford.edu/
- cs224d.stanford.edu/
- oxford-cs-deepnlp-2017
- UFLDL Tutorial 1
- UFLDL Tutorial 2
- dl.NLP (without Magic)|
- dl.p.dn
- dl.bu
- Theano.tut
- nn.Matlab
- cnn.face
- Torch7.tut
- ml.tut.web
- VGG.cnn
- TensorFlow.tut
- TensorFlow.tut+
- TensorFlow.py.n
- Keras.Lasagne.tut
- TensorFlow.LSTM.RNN
- TensorFlow.World
- dl.py
- Grokking.dl
- dl.Search
- Keras.tut
- Pytorch.tut
- Ray Kurzweil
- Andrew Ng
- Geoff Hinton
- Yann LeCun
- Yoshua bengio
- Jeff Hawkins
- Adam Coates
- Adam Coates
- Adam Coates
- Yann LeCun
- Geoffrey Hinton at GoogleTechTalks
- Jeremy Howard at TEDxBrussels
- Andrew Ng in Stanford (2011)
- Chris Manning in Stanford
- Natalie Hammel and Lorraine Yurshansky
- Steve Jurvetson (and panel) at VLAB in Stanford
- Leo Isikdogan at Motorola Mobility HQ
- CS224u: Natural Language Understanding
- Deep Learning – a cookbook view
ML/DL conferences in 2018
- aideadlin.es
- /r/MachineLearning/
- conference paper templates
- AI Conferences in 2018
- Calendar of Computer Image Analysis, Computer Vision Conferences
- guide2research
Conference Papers:
highscalability - to dive in all time favorites list
- [Week-1] 19-Nov-2017
- [Week-2] 26-Nov-2017
- [Week-3] 03-Dec-2017
- [Week-4] 10-Dec-2017
- [Week-5] 17-Dec-2017
- [Week-6] 24-Dec-2017
- [Week-7] 31-Dec-2017
- [startupreadings]
- [awesome-scalability]
- [Week-1] 19-Nov-2017 - decentralized systems(Blockchain)
- [Week-2] 26-Nov-2017 - decentralized systems(Blockchain)
- [Week-3] 03-Dec-2017 - bitcoin content
- [Week-4] 17-Dec-2017 - bitcoin code
- [Week-5] 24-Dec-2017 - ethereum content
- [Week-6] 31-Dec-2017 - ethereum programming + ICO
|| blockchain-papers | blockchain in action | awesome-blockchain+influencers+whitepapers+cryptocurrency | ICO+Resources||
Maintainer
Gopala KR / @gopala-kr
arxiv
blockchain-technology
computer-vision
deep-learning
information-retrieval
machine-learning
neural-network
nlp-resources
quantum-computing
reinforcement-learning
speech-recognition
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gopala-kr
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