Engineer1999/A-Curated-List-of-Must-Read-ML-Research-Papers

A comprehensive, categorized collection of hundreds of research papers and surveys in Machine Learning and Natural Language Processing. This repository organizes papers by topics with direct links for easy access. Continuously updated to help researchers, students, and practitioners quickly find relevant literature across the ML landscape.

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A Curated List of Must-Read Machine Learning Research Papers

Machine Learning Research Papers Survey Collection

📋 Description

This repository contains a comprehensive, continuously updated survey of essential research papers in Machine Learning (ML) and Natural Language Processing (NLP). Our collection features hundreds of meticulously curated academic papers, organized by categories to help researchers, students, and practitioners navigate the vast landscape of modern AI research.

From foundational deep learning architectures to cutting-edge transformer models, from computer vision breakthroughs to conversational AI systems, this resource serves as your definitive guide to the most influential papers that have shaped the field of artificial intelligence.

Keywords: Machine Learning Papers, Deep Learning Research, Neural Networks, AI Research Papers, Computer Vision, Natural Language Processing, Academic Resources, ML Survey, AI Literature Review

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✨ Features

🎯 Comprehensive Coverage

500+ Research Papers across ML and NLP domains
40+ Categories including Deep Learning, Computer Vision, Reinforcement Learning, and more
Regular Updates with latest breakthrough papers and surveys

🏷️ Organized Categorization

Machine Learning: Architectures, AutoML, Graph Neural Networks, Optimization
Natural Language Processing: Large Language Models, Machine Translation, Information Extraction
Specialized Topics: Federated Learning, Meta Learning, Trustworthy AI

🔗 Direct Access

One-click access to paper PDFs and arXiv links
Standardized format for easy navigation
Mobile-friendly table layout for on-the-go research

🔄 Continuous Updates

Active maintenance with new papers added regularly
Community contributions welcome via pull requests
Version control to track additions and improvements

💡 Why This Resource is Valuable

🎓 For Students & Researchers

Accelerate literature review process with pre-filtered, high-impact papers
Discover research gaps and identify trending topics in your field
Build strong foundations with seminal papers across different domains
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🏢 For Industry Professionals

Bridge theory-practice gap with implementation-focused surveys
Make informed decisions about technology adoption and research directions
Benchmark against state-of-the-art methods in your domain
Enhance team knowledge with curated reading lists

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Course material preparation with authoritative references
Student assignment resources with verified, high-quality papers
Curriculum development across ML and NLP specializations
Research supervision with comprehensive literature foundations

🌟 Unique Value Propositions

Time-saving: Hours of research condensed into organized categories
Quality-assured: Only influential, peer-reviewed papers included
Comprehensive: Covers both foundational and cutting-edge research
Accessible: Free, open-source resource available to everyone

🚀 How to Use

📖 Quick Start Guide

Browse by Category: Navigate to specific sections (Machine Learning or Natural Language Processing)
Find Your Topic: Use the category column to locate papers in your area of interest
Access Papers: Click on paper links to read full research articles
Track Progress: Star the repository to bookmark and receive updates

📚 Research Workflow

Start with Surveys: Look for "Survey" or "Review" papers in your topic area
Follow Citations: Use papers' reference lists to find additional relevant work
Check Recency: Balance foundational papers with recent developments
Cross-Reference: Compare findings across multiple papers in the same category

🎯 Targeted Use Cases

Use Case	Recommended Approach
Literature Review	Start with survey papers, then explore specific subtopics
Course Preparation	Select 2-3 papers per category for comprehensive coverage
Industry Research	Focus on "Applications" and "Methods" categories
Thesis Research	Begin with foundational papers, then recent advances

📱 Mobile Optimization

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📊 Research Paper Collections

This document contains the survey of hundreds of papers on Natural Language Processing and Machine Learning. Papers are categorized into separate topics along with URLs. New papers will be added continuously.

Machine Learning

Category	Title	Links
Architectures	A General Survey on Attention Mechanisms in Deep Learning	paper
Architectures	A Practical Survey on Faster and Lighter Transformers	paper
Architectures	A Review of Sparse Expert Models in Deep Learning	paper
Architectures	A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects	paper
Architectures	A Survey of End-to-End Driving: Architectures and Training Methods	paper
Architectures	A Survey on Activation Functions and their relation with Xavier and He Normal Initialization	paper
Architectures	A Survey on Latent Tree Models and Applications	paper
Architectures	A Survey on Vision Transformer	paper
Architectures	A survey of the recent architectures of deep convolutional neural networks	paper
Architectures	A survey of transformers	paper
Architectures	A survey on modern trainable activation functions	paper
Architectures	An Attentive Survey of Attention Models	paper
Architectures	An Introduction to Autoencoders	paper
Architectures	Attention mechanisms and deep learning for machine vision: A survey of the state of the art	paper
Architectures	Attention mechanisms in computer vision: A survey	paper
Architectures	Big networks: A survey	paper
Architectures	Binary neural networks: A survey	paper
Architectures	Deep Echo State Network (DeepESN): A Brief Survey	paper
Architectures	Deep Tree Transductions - A Short Survey	paper
Architectures	Efficient Transformers: A Survey	paper
Architectures	Learning with Capsules: A Survey	paper
Architectures	On the Opportunity of Causal Deep Generative Models: A Survey and Future Directions	paper
Architectures	Pooling Methods in Deep Neural Networks, a Review	paper
Architectures	Position Information in Transformers: An Overview	paper
Architectures	Recent advances in convolutional neural networks	paper
Architectures	Sum-Product Networks: A Survey	paper
Architectures	Survey of Dropout Methods for Deep Neural Networks	paper
Architectures	Survey on the attention based RNN model and its applications in computer vision	paper
Architectures	The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches	paper
Architectures	The NLP Cookbook: Modern Recipes for Transformer Based Deep Learning Architectures	paper
Architectures	Transformers in Vision: A Survey	paper
Architectures	Understanding LSTM - a tutorial into Long Short-Term Memory Recurrent Neural Networks	paper
Automl	A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions	paper
Automl	A Comprehensive Survey on Automated Machine Learning for Recommendations	paper
Automl	A Comprehensive Survey on Hardware-Aware Neural Architecture Search	paper
Automl	A Review of Meta-Reinforcement Learning for Deep Neural Networks Architecture Search	paper
Automl	A Survey on Neural Architecture Search	paper
Automl	AutoML for Deep Recommender Systems: A Survey	paper
Automl	AutoML: A Survey of the State-of-the-Art	paper
Automl	Automated Machine Learning on Graphs: A Survey	paper
Automl	Neural Architecture Search: A Survey	paper
Automl	Reinforcement learning for neural architecture search: A review	paper
Automl	Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues	paper
Bayesian Methods	A Survey of Non-Exchangeable Priors for Bayesian Nonparametric Models	paper
Bayesian Methods	A Survey on Bayesian Deep Learning	paper
Bayesian Methods	Bayesian Neural Networks: An Introduction and Survey	paper
Bayesian Methods	Bayesian Nonparametric Space Partitions: A Survey	paper
Bayesian Methods	Deep Bayesian Active Learning, A Brief Survey on Recent Advances	paper
Bayesian Methods	Taking the Human Out of the Loop: A Review of Bayesian Optimization	paper
Classification, Clustering And Regression	A Continual Learning Survey: Defying Forgetting in Classification Tasks	paper
Classification, Clustering And Regression	A Survey of Classification Techniques in the Area of Big Data	paper
Classification, Clustering And Regression	A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges	paper
Classification, Clustering And Regression	A Survey of Deep Graph Clustering: Taxonomy, Challenge, and Application	paper
Classification, Clustering And Regression	A Survey of Machine Learning Methods and Challenges for Windows Malware Classification	paper
Classification, Clustering And Regression	A Survey of Methods for Managing the Classification and Solution of Data Imbalance Problem	paper
Classification, Clustering And Regression	A Survey of Techniques All Classifiers Can Learn from Deep Networks: Models, Optimizations, and Regularization	paper
Classification, Clustering And Regression	A Survey on Multi-View Clustering	paper
Classification, Clustering And Regression	Comprehensive comparative study of multi-label classification methods	paper
Classification, Clustering And Regression	Deep Clustering: A Comprehensive Survey	paper
Classification, Clustering And Regression	Deep learning for time series classification: a review	paper
Classification, Clustering And Regression	How Complex Is Your Classification Problem?: A Survey on Measuring Classification Complexity	paper
Deep Learning	A State-of-the-Art Survey on Deep Learning Theory and Architectures (2019)	paper
Deep Learning	Knowledge Distillation: A Survey (2021)	paper
Deep Learning	Compression of Deep Learning Models for Text: A Survey (2020)	paper
Deep Learning	A Survey on Deep Transfer Learning (2018)	paper
Deep Learning	A Comprehensive Survey of Neural Architecture Search (2021)	paper
Deep Learning	Neural Architecture Search: A Survey (2019)	paper
Natural Language Processing	Recent Trends in Deep Learning Based Natural Language Processing (2018)	paper
Natural Language Processing	Deep Learning Based Text Classification: A Comprehensive Review (2021)	paper
Natural Language Processing	Survey of the SOTA in Natural Language Generation: Core tasks, applications and evaluation (2018)	paper
Natural Language Processing	Neural Language Generation: Formulation, Methods, and Evaluation (2020)	paper
Natural Language Processing	Exploring Transfer Learning with T5: the Text-To-Text Transfer Transformer (2020)	paper
Natural Language Processing	Efficient Transformers: A Survey (2020)	paper
Natural Language Processing	Beyond Accuracy: Behavioral Testing of NLP Models with CheckList (2020)	paper
Natural Language Processing	Evaluation of Text Generation: A Survey (2020)	paper
Vision and Language	Trends in Integration of Vision and Language Research: Tasks, Datasets, and Methods (2021)	paper
Vision and Language	Multimodal Research in Vision and Language: Current and Emerging Trends (2020)	paper
Reinforcement Learning	A Brief Survey of Deep Reinforcement Learning (2017)	paper
Reinforcement Learning	Transfer Learning for Reinforcement Learning Domains (2009)	paper
Reinforcement Learning	Review of Deep Reinforcement Learning Methods and Applications in Economics (2020)	paper
Reinforcement Learning	Deep Reinforcement Learning for Search, Recommendation, and Online Advertising (2018)	paper
Graph	A Comprehensive Survey on Graph Neural Networks (2019)	paper
Graph	A Practical Guide to Graph Neural Networks (2020)	paper
Graph	A systematic literature review of graph-based anomaly detection approaches (2020)	paper
Graph	A Comprehensive Introduction to Knowledge Graphs (2021)	paper
Embeddings	From Word to Sense Embeddings: A Survey on Vector Representations of Meaning (2018)	paper
Embeddings	Diachronic Word Embeddings and Semantic Shifts (2018)	paper
Embeddings	Word Embeddings: A Survey (2019)	paper
Embeddings	A Reproducible Survey on Word Embeddings and Ontology-based Methods for Word Similarity (2019)	paper
Embeddings	A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications (2017)	paper
Meta-learning and Few-shot Learning	Meta-learning for Few-shot Natural Language Processing: A Survey (2020)	paper
Meta-learning and Few-shot Learning	Learning from Few Samples: A Survey (2020)	paper
Meta-learning and Few-shot Learning	Meta-Learning in Neural Networks: A Survey (2020)	paper
Meta-learning and Few-shot Learning	A Comprehensive Overview and Survey of Recent Advances in Meta-Learning (2020)	paper
Meta-learning and Few-shot Learning	Baby steps towards few-shot learning with multiple semantics (2020)	paper
Meta-learning and Few-shot Learning	Meta-Learning: A Survey (2018)	paper
Meta-learning and Few-shot Learning	A Perspective View And Survey Of Meta-learning (2002)	paper
Computer Vision	3D Object Detection for Autonomous Driving: A Survey	paper
Computer Vision	3D Object Detection from Images for Autonomous Driving: A Survey	paper
Computer Vision	3D Vision with Transformers: A Survey	paper
Computer Vision	3D human motion prediction: A survey	paper
Computer Vision	A Survey of Deep Face Restoration: Denoise, Super-Resolution, Deblur, Artifact Removal	paper
Computer Vision	A Survey of Vision-Language Pre-Trained Models	paper
Computer Vision	A Survey of Visual Sensory Anomaly Detection	paper
Computer Vision	A Survey of Visual Transformers	paper
Computer Vision	A Survey on Applications of Augmented, Mixed and Virtual Reality for Nature and Environment	paper
Computer Vision	A Survey on Deep Learning Technique for Video Segmentation	paper
Computer Vision	A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective	paper
Computer Vision	A Survey on Label-efficient Deep Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction	paper
Computer Vision	A Survey on Visual Map Localization Using LiDARs and Cameras	paper
Computer Vision	A Technical Survey and Evaluation of Traditional Point Cloud Clustering Methods for LiDAR Panoptic Segmentation	paper
Computer Vision	A survey of modern deep learning based object detection models	paper
Computer Vision	A survey of top-down approaches for human pose estimation	paper
Computer Vision	A survey on deep hashing for image retrieval	paper
Computer Vision	A survey on deep learning in medical image analysis	paper
Computer Vision	Advances in Adversarial Attacks and Defenses in Computer Vision: A Survey	paper
Computer Vision	Adversarial Examples on Object Recognition: A Comprehensive Survey	paper
Computer Vision	Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective	paper
Computer Vision	Affective Image Content Analysis: Two Decades Review and New Perspectives	paper
Computer Vision	Applications of Artificial Neural Networks in Microorganism Image Analysis: A Comprehensive Review from Conventional Multilayer Perceptron to Popular Convolutional Neural Network and Potential Visual Transformer	paper
Computer Vision	Bridging Gap between Image Pixels and Semantics via Supervision: A Survey	paper
Computer Vision	Compositional Scene Representation Learning via Reconstruction: A Survey	paper
Computer Vision	Deep Image Deblurring: A Survey	paper
Computer Vision	Deep Image Retrieval: A Survey	paper
Computer Vision	Deep Learning Technique for Human Parsing: A Survey and Outlook	paper
Computer Vision	Deep Learning for 3D Point Cloud Understanding: A Survey	paper
Computer Vision	Deep Learning for Embodied Vision Navigation: A Survey	paper
Computer Vision	Deep Learning for Image Super-resolution: A Survey	paper
Computer Vision	Deep Learning for Scene Classification: A Survey	paper
Computer Vision	Efficient High-Resolution Deep Learning: A Survey	paper
Computer Vision	Geometric and Learning-based Mesh Denoising: A Comprehensive Survey	paper
Computer Vision	Image Segmentation Using Deep Learning: A Survey	paper
Computer Vision	Image-to-Image Translation: Methods and Applications	paper
Computer Vision	Image/Video Deep Anomaly Detection: A Survey	paper
Computer Vision	MmWave Radar and Vision Fusion for Object Detection in Autonomous Driving: A Review	paper
Computer Vision	Multi-modal Sensor Fusion for Auto Driving Perception: A Survey	paper
Computer Vision	Recent Advances in Vision Transformer: A Survey and Outlook of Recent Work	paper
Computer Vision	Recovering 3D Human Mesh from Monocular Images: A Survey	paper
Computer Vision	Single Image Super-Resolution Methods: A Survey	paper
Computer Vision	The Elements of End-to-end Deep Face Recognition: A Survey of Recent Advances	paper
Computer Vision	The Elements of Temporal Sentence Grounding in Videos: A Survey and Future Directions	paper
Computer Vision	The Impact of Machine Learning on 2D/3D Registration for Image-Guided Interventions: A Systematic Review and Perspective	paper
Computer Vision	The Need and Status of Sea Turtle Conservation and Survey of Associated Computer Vision Advances	paper
Computer Vision	Transformers Meet Visual Learning Understanding: A Comprehensive Review	paper
Computer Vision	Transformers in Remote Sensing: A Survey	paper
Computer Vision	Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey	paper
Contrastive Learning	A Survey on Contrastive Self-supervised Learning	paper
Computer Vision	Object Detection in 20 Years (2019)	paper
Computer Vision	Threat of Adversarial Attacks on Deep Learning in Computer Vision (2018)	paper
Computer Vision	Computer Vision for Autonomous Vehicles: Problems, Datasets and SOTA (2021)	paper
Computer Vision	A Comprehensive Survey of Deep Learning for Image Captioning (2018)	paper
Computer Vision	A Survey on Instance Segmentation: State of the art	paper
Computer Vision	A Survey on Vision Transformer	paper
Computer Vision	Review of deep learning: concepts, CNN architectures, challenges, applications, future directions	paper
Computer Vision	Transformers in Vision: A Survey	paper
Contrastive Learning	Self-supervised Learning: Generative or Contrastive	paper
Curriculum Learning	A Survey on Curriculum Learning	paper
Curriculum Learning	Automatic Curriculum Learning For Deep RL: A Short Survey	paper
Curriculum Learning	Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey	paper
Curriculum Learning	Curriculum Learning: A Survey	paper
Data Augmentation	A Comprehensive Survey of Image Augmentation Techniques for Deep Learning	paper
Data Augmentation	A Comprehensive Survey to Dataset Distillation	paper
Data Augmentation	A Survey of Data Augmentation Approaches for NLP	paper
Data Augmentation	A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability	paper
Data Augmentation	A survey on Image Data Augmentation for Deep Learning	paper
Data Augmentation	An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks	paper
Data Augmentation	Data Augmentation on Graphs: A Survey	paper
Data Augmentation	Data Distillation: A Survey	paper
Data Augmentation	Data augmentation approaches in natural language processing: A survey	paper
Data Augmentation	Dataset Distillation: A Comprehensive Review	paper
Data Augmentation	Time Series Data Augmentation for Deep Learning: A Survey	paper
Deep Learning General Methods	A Survey of Deep Active Learning	paper
Deep Learning General Methods	A Survey of Deep Learning for Data Caching in Edge Network	paper
Deep Learning General Methods	A Survey of Deep Learning for Scientific Discovery	paper
Deep Learning General Methods	A Survey of Neuromorphic Computing and Neural Networks in Hardware	paper
Deep Learning General Methods	A Survey of Uncertainty in Deep Neural Networks	paper
Deep Learning General Methods	A Survey on Active Deep Learning: From Model Driven to Data Driven	paper
Deep Learning General Methods	A Survey on Concept Factorization: From Shallow to Deep Representation Learning	paper
Deep Learning General Methods	A Survey on Deep Hashing Methods	paper
Deep Learning General Methods	A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations?	paper
Deep Learning General Methods	A Survey on Network Embedding	paper
Deep Learning General Methods	A Tutorial on Network Embeddings	paper
Deep Learning General Methods	Convergence of Edge Computing and Deep Learning: A Comprehensive Survey	paper
Deep Learning General Methods	Deep Learning Theory Review: An Optimal Control and Dynamical Systems Perspective	paper
Deep Learning General Methods	Deep Learning for Matching in Search and Recommendation	paper
Deep Learning General Methods	Deep Long-Tailed Learning: A Survey	paper
Deep Learning General Methods	Deep learning	paper
Deep Learning General Methods	Dynamic Neural Networks: A Survey	paper
Deep Learning General Methods	Geometric Deep Learning: Going beyond Euclidean data	paper
Deep Learning General Methods	Heuristic design of fuzzy inference systems: A review of three decades of research	paper
Deep Learning General Methods	Imitation Learning: Progress, Taxonomies and Opportunities	paper
Deep Learning General Methods	Improving Deep Learning Models via Constraint-Based Domain Knowledge: a Brief Survey	paper
Deep Learning General Methods	Knowledge-augmented Deep Learning and Its Applications: A Survey	paper
Deep Learning General Methods	Learning from Noisy Labels with Deep Neural Networks: A Survey	paper
Deep Learning General Methods	Model Complexity of Deep Learning: A Survey	paper
Deep Learning General Methods	Network Representation Learning: A Survey	paper
Deep Learning General Methods	On Neural Differential Equations	paper
Deep Learning General Methods	Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey	paper
Deep Learning General Methods	Partial Differential Equations Meet Deep Neural Networks: A Survey	paper
Deep Learning General Methods	Relational inductive biases, deep learning, and graph networks	paper
Deep Learning General Methods	Representation Learning: A Review and New Perspectives	paper
Deep Learning General Methods	Review: Ordinary Differential Equations For Deep Learning	paper
Deep Learning General Methods	Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks	paper
Deep Learning General Methods	Survey of Expressivity in Deep Neural Networks	paper
Deep Learning General Methods	Survey of Reasoning using Neural networks	paper
Deep Learning General Methods	Survey on Large Scale Neural Network Training	paper
Deep Learning General Methods	The Deep Learning Compiler: A Comprehensive Survey	paper
Deep Learning General Methods	The Modern Mathematics of Deep Learning	paper
Deep Learning General Methods	Time Series Data Imputation: A Survey on Deep Learning Approaches	paper
Deep Learning General Methods	Time Series Forecasting With Deep Learning: A Survey	paper
Deep Learning General Methods	Tutorial on Variational Autoencoders	paper
Deep Reinforcement Learning	A Short Survey On Memory Based Reinforcement Learning	paper
Deep Reinforcement Learning	A Short Survey on Probabilistic Reinforcement Learning	paper
Deep Reinforcement Learning	A Survey of Explainable Reinforcement Learning	paper
Deep Reinforcement Learning	A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress	paper
Deep Reinforcement Learning	A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments	paper
Deep Reinforcement Learning	A Survey of Reinforcement Learning Informed by Natural Language	paper
Deep Reinforcement Learning	A Survey of Reinforcement Learning Techniques: Strategies, Recent Development, and Future Directions	paper
Deep Reinforcement Learning	A Survey of Zero-shot Generalisation in Deep Reinforcement Learning	paper
Deep Reinforcement Learning	A Survey on Deep Reinforcement Learning for Data Processing and Analytics	paper
Deep Reinforcement Learning	A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges	paper
Deep Reinforcement Learning	A Survey on Reinforcement Learning for Combinatorial Optimization	paper
Deep Reinforcement Learning	A Survey on Reinforcement Learning for Recommender Systems	paper
Deep Reinforcement Learning	A Survey on Transformers in Reinforcement Learning	paper
Deep Reinforcement Learning	A survey of benchmarking frameworks for reinforcement learning	paper
Deep Reinforcement Learning	A survey on deep reinforcement learning for audio-based applications	paper
Deep Reinforcement Learning	A survey on intrinsic motivation in reinforcement learning	paper
Deep Reinforcement Learning	Adapting Behaviour via Intrinsic Reward: A Survey and Empirical Study	paper
Deep Reinforcement Learning	Automated Reinforcement Learning (AutoRL): A Survey and Open Problems	paper
Deep Reinforcement Learning	Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics	paper
Deep Reinforcement Learning	Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey	paper
Deep Reinforcement Learning	Deep Reinforcement Learning for Autonomous Driving: A Survey	paper
Deep Reinforcement Learning	Deep Reinforcement Learning for Clinical Decision Support: A Brief Survey	paper
Deep Reinforcement Learning	Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey	paper
Deep Reinforcement Learning	Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey	paper
Deep Reinforcement Learning	Deep Reinforcement Learning in Quantitative Algorithmic Trading: A Review	paper
Deep Reinforcement Learning	Deep Reinforcement Learning: A Brief Survey	paper
Deep Reinforcement Learning	Deep Reinforcement Learning: An Overview	paper
Deep Reinforcement Learning	Derivative-Free Reinforcement Learning: A Review	paper
Deep Reinforcement Learning	Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey	paper
Deep Reinforcement Learning	Feature-based aggregation and deep reinforcement learning: a survey and some new implementations	paper
Deep Reinforcement Learning	Model-Based Deep Reinforcement Learning for High-Dimensional Problems, a Survey	paper
Deep Reinforcement Learning	Model-based Reinforcement Learning: A Survey	paper
Deep Reinforcement Learning	Reinforcement Learning for Combinatorial Optimization: A Survey	paper
Deep Reinforcement Learning	Reinforcement Learning in Healthcare: A Survey	paper
Deep Reinforcement Learning	Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey	paper
Deep Reinforcement Learning	Survey on reinforcement learning for language processing	paper
Deep Reinforcement Learning	Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning	paper
Diffusion Models	A Survey on Generative Diffusion Model	paper
Diffusion Models	Diffusion Models for Medical Image Analysis: A Comprehensive Survey	paper
Diffusion Models	Diffusion Models in NLP: A Survey	paper
Diffusion Models	Diffusion Models in Vision: A Survey	paper
Diffusion Models	Diffusion Models: A Comprehensive Survey of Methods and Applications	paper
Diffusion Models	Efficient Diffusion Models for Vision: A Survey	paper
Federated Learning	A Survey on Heterogeneous Federated Learning	paper
Federated Learning	Achieving security and privacy in federated learning systems: Survey, research challenges and future directions	paper
Federated Learning	Advances and Open Problems in Federated Learning	paper
Federated Learning	Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications	paper
Federated Learning	Federated Learning Challenges and Opportunities: An Outlook	paper
Federated Learning	Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection	paper
Federated Learning	Fusion of Federated Learning and Industrial Internet of Things: A survey	paper
Federated Learning	Privacy and Robustness in Federated Learning: Attacks and Defenses	paper
Federated Learning	Threats to Federated Learning: A Survey	paper
Few Shot And Zero Shot Learning	A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities	paper
Few Shot And Zero Shot Learning	A Survey of Zero-Shot Learning: Settings, Methods, and Applications	paper
Few Shot And Zero Shot Learning	A Survey of Zero-shot Generalisation in Deep Reinforcement Learning	paper
Few Shot And Zero Shot Learning	A Survey on Few-Shot Class-Incremental Learning	paper
Few Shot And Zero Shot Learning	A Survey on Few-Shot Learning	paper
Few Shot And Zero Shot Learning	Learning from Few Samples: A Survey	paper
Few Shot And Zero Shot Learning	Learning from Very Few Samples: A Survey	paper
General Machine Learning	A Comprehensive Survey on Outlying Aspect Mining Methods	paper
General Machine Learning	A Survey On (Stochastic Fractal Search) Algorithm	paper
General Machine Learning	A Survey of Learning Causality with Data: Problems and Methods	paper
General Machine Learning	A Survey of Learning on Small Data	paper
General Machine Learning	A Survey of Predictive Modelling under Imbalanced Distributions	paper
General Machine Learning	A Survey on Data Collection for Machine Learning: a Big Data - AI Integration Perspective	paper
General Machine Learning	A Survey on Distributed Machine Learning	paper
General Machine Learning	A Survey on Feature Weighting Based K-Means Algorithms	paper
General Machine Learning	A Survey on Large-Scale Machine Learning	paper
General Machine Learning	A Survey on Optimal Transport for Machine Learning: Theory and Applications	paper
General Machine Learning	A Survey on Resilient Machine Learning	paper
General Machine Learning	A survey and taxonomy of loss functions in machine learning	paper
General Machine Learning	A survey of adaptive resonance theory neural network models for engineering applications	paper
General Machine Learning	A survey of dimensionality reduction techniques	paper
General Machine Learning	A survey of human-in-the-loop for machine learning	paper
General Machine Learning	A survey on graph kernels	paper
General Machine Learning	Adversarial Examples in Modern Machine Learning: A Review	paper
General Machine Learning	Algorithms Inspired by Nature: A Survey	paper
General Machine Learning	An Overview of Privacy in Machine Learning	paper
General Machine Learning	Are deep learning models superior for missing data imputation in large surveys? Evidence from an empirical comparison	paper
General Machine Learning	Certification of embedded systems based on Machine Learning: A survey	paper
General Machine Learning	Data and its (dis)contents: A survey of dataset development and use in machine learning research	paper
General Machine Learning	Generating Artificial Outliers in the Absence of Genuine Ones - A Survey	paper
General Machine Learning	Hierarchical Mixtures-of-Experts for Exponential Family Regression Models with Generalized Linear Mean Functions: A Survey of Approximation and Consistency Results	paper
General Machine Learning	Hyperbox-based machine learning algorithms: a comprehensive survey	paper
General Machine Learning	Introduction to Core-sets: an Updated Survey	paper
General Machine Learning	Laplacian-Based Dimensionality Reduction Including Spectral Clustering, Laplacian Eigenmap, Locality Preserving Projection, Graph Embedding, and Diffusion Map: Tutorial and Survey	paper
General Machine Learning	Logic Locking at the Frontiers of Machine Learning: A Survey on Developments and Opportunities	paper
General Machine Learning	Machine Learning Testing: Survey, Landscapes and Horizons	paper
General Machine Learning	Machine Learning at the Network Edge: A Survey	paper
General Machine Learning	Machine Learning for Spatiotemporal Sequence Forecasting: A Survey	paper
General Machine Learning	Machine Learning in Network Centrality Measures: Tutorial and Outlook	paper
General Machine Learning	Machine Learning that Matters	paper
General Machine Learning	Machine Learning with World Knowledge: The Position and Survey	paper
General Machine Learning	Mean-Field Learning: a Survey	paper
General Machine Learning	Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey	paper
General Machine Learning	Multidimensional Scaling, Sammon Mapping, and Isomap: Tutorial and Survey	paper
General Machine Learning	Multimodal Machine Learning: A Survey and Taxonomy	paper
General Machine Learning	Rank-based Decomposable Losses in Machine Learning: A Survey	paper
General Machine Learning	Rational Kernels: A survey	paper
General Machine Learning	Statistical Queries and Statistical Algorithms: Foundations and Applications	paper
General Machine Learning	Structure Learning of Probabilistic Graphical Models: A Comprehensive Survey	paper
General Machine Learning	Survey & Experiment: Towards the Learning Accuracy	paper
General Machine Learning	Survey on Feature Selection	paper
General Machine Learning	Survey on Multi-Output Learning	paper
General Machine Learning	Survey: Machine Learning in Production Rendering	paper
General Machine Learning	The Benefits of Population Diversity in Evolutionary Algorithms: A Survey of Rigorous Runtime Analyses	paper
General Machine Learning	The Mathematics of Artificial Intelligence	paper
General Machine Learning	Towards Causal Representation Learning	paper
General Machine Learning	Towards Out-Of-Distribution Generalization: A Survey	paper
General Machine Learning	Verification for Machine Learning, Autonomy, and Neural Networks Survey	paper
General Machine Learning	What Can Knowledge Bring to Machine Learning? - A Survey of Low-shot Learning for Structured Data	paper
Generative Adversarial Networks	A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications	paper
Generative Adversarial Networks	A Survey on Deep Graph Generation: Methods and Applications	paper
Generative Adversarial Networks	A Survey on Generative Adversarial Networks: Variants, Applications, and Training	paper
Generative Adversarial Networks	Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging	paper
Generative Adversarial Networks	Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models	paper
Generative Adversarial Networks	Deep Generative Models on 3D Representations: A Survey	paper
Generative Adversarial Networks	GAN Inversion: A Survey	paper
Generative Adversarial Networks	GAN computers generate arts? A survey on visual arts, music, and literary text generation using generative adversarial network	paper
Generative Adversarial Networks	Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy	paper
Generative Adversarial Networks	Generative Adversarial Networks in Human Emotion Synthesis: A Review	paper
Generative Adversarial Networks	Generative Adversarial Networks: An Overview	paper
Generative Adversarial Networks	How Generative Adversarial Networks and Their Variants Work: An Overview	paper
Generative Adversarial Networks	Stabilizing Generative Adversarial Network Training: A Survey	paper
Graph Neural Networks	A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications	paper
Graph Neural Networks	A Comprehensive Survey of Graph-level Learning	paper
Graph Neural Networks	A Comprehensive Survey on Graph Neural Networks	paper
Graph Neural Networks	A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability	paper
Graph Neural Networks	A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metrics	paper
Graph Neural Networks	A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective	paper
Graph Neural Networks	A Survey on Graph Neural Networks for Knowledge Graph Completion	paper
Graph Neural Networks	A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources	paper
Graph Neural Networks	A Survey on The Expressive Power of Graph Neural Networks	paper
Graph Neural Networks	A Systematic Survey on Deep Generative Models for Graph Generation	paper
Graph Neural Networks	Adversarial Attack and Defense on Graph Data: A Survey	paper
Graph Neural Networks	Automated Graph Machine Learning: Approaches, Libraries and Directions	paper
Graph Neural Networks	Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks	paper
Graph Neural Networks	Computing Graph Neural Networks: A Survey from Algorithms to Accelerators	paper
Graph Neural Networks	Deep Learning on Graphs: A Survey	paper
Graph Neural Networks	Deep graph similarity learning: a survey	paper
Graph Neural Networks	Distributed Graph Neural Network Training: A Survey	paper
Graph Neural Networks	Explainability in Graph Neural Networks: A Taxonomic Survey	paper
Graph Neural Networks	Fairness in Graph Mining: A Survey	paper
Graph Neural Networks	Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications	paper
Graph Neural Networks	Federated Graph Neural Networks: Overview, Techniques and Challenges	paper
Graph Neural Networks	Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey	paper
Graph Neural Networks	Geometrically Equivariant Graph Neural Networks: A Survey	paper
Graph Neural Networks	Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art	paper
Graph Neural Networks	Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective	paper
Graph Neural Networks	Graph Neural Networks for Natural Language Processing: A Survey	paper
Graph Neural Networks	Graph Neural Networks in Recommender Systems: A Survey	paper
Graph Neural Networks	Graph Neural Networks with Generated Parameters for Relation Extraction	paper
Graph Neural Networks	Graph Neural Networks: Methods, Applications, and Opportunities	paper
Graph Neural Networks	Graph Neural Networks: Taxonomy, Advances and Trends	paper
Graph Neural Networks	Graph Representation Learning: A Survey	paper
Graph Neural Networks	Graph Self-Supervised Learning: A Survey	paper
Graph Neural Networks	Graph embedding techniques, applications, and performance: A survey	paper
Graph Neural Networks	Graph neural network for traffic forecasting: A survey	paper
Graph Neural Networks	Graph neural networks: A review of methods and applications	paper
Graph Neural Networks	Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future	paper
Graph Neural Networks	Learning Representations of Graph Data - A Survey	paper
Graph Neural Networks	Meta-Learning with Graph Neural Networks: Methods and Applications	paper
Graph Neural Networks	Representation Learning for Dynamic Graphs: A Survey	paper
Graph Neural Networks	Self-Supervised Learning of Graph Neural Networks: A Unified Review	paper
Graph Neural Networks	Spatio-Temporal Graph Neural Networks: A Survey	paper
Graph Neural Networks	Tackling Graphical NLP problems with Graph Recurrent Networks	paper
Graph Neural Networks	The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey	paper
Graph Neural Networks	Theory of Graph Neural Networks: Representation and Learning	paper
Graph Neural Networks	Trustworthy Graph Neural Networks: Aspects, Methods and Trends	paper
Interpretability And Analysis	A Survey of Methods for Explaining Black Box Models	paper
Interpretability And Analysis	A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI	paper
Interpretability And Analysis	A Survey on Knowledge integration techniques with Artificial Neural Networks for seq-2-seq/time series models	paper
Interpretability And Analysis	A Survey on Neural Network Interpretability	paper
Interpretability And Analysis	Benchmarking and Survey of Explanation Methods for Black Box Models	paper
Interpretability And Analysis	Causal Interpretability for Machine Learning - Problems, Methods and Evaluation	paper
Interpretability And Analysis	Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI	paper
Interpretability And Analysis	Explainable Artificial Intelligence Approaches: A Survey	paper
Interpretability And Analysis	Explainable Automated Fact-Checking: A Survey	paper
Interpretability And Analysis	Explainable Reinforcement Learning: A Survey	paper
Interpretability And Analysis	Explainable artificial intelligence: A survey	paper
Interpretability And Analysis	Foundations of Explainable Knowledge-Enabled Systems	paper
Interpretability And Analysis	How convolutional neural networks see the world - A survey of convolutional neural network visualization methods	paper
Interpretability And Analysis	Interpretable Machine Learning - A Brief History, State-of-the-Art and Challenges	paper
Interpretability And Analysis	Measuring "Why" in Recommender Systems: a Comprehensive Survey on the Evaluation of Explainable Recommendation	paper
Interpretability And Analysis	On Interpretability of Artificial Neural Networks	paper
Interpretability And Analysis	On the computation of counterfactual explanations - A survey	paper
Interpretability And Analysis	Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey	paper
Interpretability And Analysis	Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)	paper
Interpretability And Analysis	Survey of explainable machine learning with visual and granular methods beyond quasi-explanations	paper
Interpretability And Analysis	Understanding Neural Networks via Feature Visualization: A Survey	paper
Interpretability And Analysis	Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers	paper
Interpretability And Analysis	Visual interpretability for deep learning: a survey	paper
Interpretability And Analysis	Visualisation of Pareto Front Approximation: A Short Survey and Empirical Comparisons	paper
Interpretability And Analysis	When will the mist clear? On the Interpretability of Machine Learning for Medical Applications: a survey	paper
Interpretability And Analysis	XAI Methods for Neural Time Series Classification: A Brief Review	paper
Knowledge Distillation	A Selective Survey on Versatile Knowledge Distillation Paradigm for Neural Network Models	paper
Ml And Dl Applications	A Comprehensive Survey on Community Detection with Deep Learning	paper
Ml And Dl Applications	A Comprehensive Survey on Graph Anomaly Detection with Deep Learning	paper
Ml And Dl Applications	A Comprehensive Survey on Machine Learning Techniques and User Authentication Approaches for Credit Card Fraud Detection	paper
Ml And Dl Applications	A Survey of Deep Learning Applications to Autonomous Vehicle Control	paper
Ml And Dl Applications	A Survey of Machine Learning for Computer Architecture and Systems	paper
Ml And Dl Applications	A Survey on Deep Learning based Brain Computer Interface: Recent Advances and New Frontiers	paper
Ml And Dl Applications	A Survey on Practical Applications of Multi-Armed and Contextual Bandits	paper
Ml And Dl Applications	A Survey on Spatial and Spatiotemporal Prediction Methods	paper
Ml And Dl Applications	A Survey on Traffic Signal Control Methods	paper
Ml And Dl Applications	A Survey on the Use of AI and ML for Fighting the COVID-19 Pandemic	paper
Ml And Dl Applications	A survey of deep learning techniques for autonomous driving	paper
Ml And Dl Applications	A survey of machine learning techniques for detecting and diagnosing COVID-19 from imaging	paper
Ml And Dl Applications	A survey on anomaly detection for technical systems using LSTM networks	paper
Ml And Dl Applications	Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial	paper
Ml And Dl Applications	Classification of Pathological and Normal Gait: A Survey	paper
Ml And Dl Applications	Classification supporting COVID-19 diagnostics based on patient survey data	paper
Ml And Dl Applications	Computer Vision Methods for the Microstructural Analysis of Materials: The State-of-the-art and Future Perspectives	paper
Ml And Dl Applications	Credit card fraud detection using machine learning: A survey	paper
Ml And Dl Applications	Cross-Modality Neuroimage Synthesis: A Survey	paper
Ml And Dl Applications	DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction	paper
Ml And Dl Applications	Deep Learning for Click-Through Rate Estimation	paper
Ml And Dl Applications	Deep Learning for Spatio-Temporal Data Mining: A Survey	paper
Ml And Dl Applications	Deep Learning-based Spacecraft Relative Navigation Methods: A Survey	paper
Ml And Dl Applications	Deep learning models for predictive maintenance: a survey, comparison, challenges and prospect	paper
Ml And Dl Applications	Event Prediction in the Big Data Era: A Systematic Survey	paper
Ml And Dl Applications	Fashion Meets Computer Vision: A Survey	paper
Ml And Dl Applications	Going Deeper Into Face Detection: A Survey	paper
Ml And Dl Applications	Graph-based deep learning for communication networks: A survey	paper
Ml And Dl Applications	How Developers Iterate on Machine Learning Workflows - A Survey of the Applied Machine Learning Literature	paper
Ml And Dl Applications	Human Action Recognition From Various Data Modalities: A Review	paper
Ml And Dl Applications	Known Operator Learning and Hybrid Machine Learning in Medical Imaging - A Review of the Past, the Present, and the Future	paper
Ml And Dl Applications	Machine Learning Aided Static Malware Analysis: A Survey and Tutorial	paper
Ml And Dl Applications	Machine Learning for Cataract Classification and Grading on Ophthalmic Imaging Modalities: A Survey	paper
Ml And Dl Applications	Machine Learning for Electronic Design Automation: A Survey	paper
Ml And Dl Applications	Machine Learning for Survival Analysis: A Survey	paper
Ml And Dl Applications	Machine learning and deep learningA review for ecologists	paper
Ml And Dl Applications	Medical image segmentation with 3D convolutional neural networks: A survey	paper
Ml And Dl Applications	MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design	paper
Ml And Dl Applications	Multi-modal Sensor Fusion for Auto Driving Perception: A Survey	paper
Ml And Dl Applications	Physics-Guided Deep Learning for Dynamical Systems: A survey	paper
Ml And Dl Applications	Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications	paper
Ml And Dl Applications	Predicting the future from first person (egocentric) vision: A survey	paper
Ml And Dl Applications	Prediction of neonatal mortality in Sub-Saharan African countries using data-level linkage of multiple surveys	paper
Ml And Dl Applications	Requirement Engineering Challenges for AI-intense Systems Development	paper
Ml And Dl Applications	Short-term Traffic Prediction with Deep Neural Networks: A Survey	paper
Ml And Dl Applications	Should I Raise The Red Flag? A comprehensive survey of anomaly scoring methods toward mitigating false alarms	paper
Ml And Dl Applications	Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey	paper
Ml And Dl Applications	Towards Controllable Protein Design with Conditional Transformers	paper
Ml And Dl Applications	Transformers in Remote Sensing: A Survey	paper
Ml And Dl Applications	Transformers in Time Series: A Survey	paper
Ml And Dl Applications	Understanding racial bias in health using the Medical Expenditure Panel Survey data	paper
Ml And Dl Applications	Urban flows prediction from spatial-temporal data using machine learning: A survey	paper
Ml And Dl Applications	Using Deep Learning for Visual Decoding and Reconstruction from Brain Activity: A Review	paper
Ml And Dl Applications	Utilising Graph Machine Learning within Drug Discovery and Development	paper
Meta Learning	A Comprehensive Overview and Survey of Recent Advances in Meta-Learning	paper
Meta Learning	Meta-Learning in Neural Networks: A Survey	paper
Meta Learning	Meta-Learning: A Survey	paper
Meta Learning	Meta-learning for Few-shot Natural Language Processing: A Survey	paper
Metric Learning	A tutorial on distance metric learning: Mathematical foundations, algorithms, experimental analysis, prospects and challenges	paper
Model Compression And Acceleration	A Survey of Model Compression and Acceleration for Deep Neural Networks	paper
Model Compression And Acceleration	A Survey of Quantization Methods for Efficient Neural Network Inference	paper
Model Compression And Acceleration	A Survey on Deep Neural Network Compression: Challenges, Overview, and Solutions	paper
Model Compression And Acceleration	A Survey on GAN Acceleration Using Memory Compression Technique	paper
Model Compression And Acceleration	A Survey on Methods and Theories of Quantized Neural Networks	paper
Model Compression And Acceleration	A Survey on Model Compression for Natural Language Processing	paper
Model Compression And Acceleration	An Overview of Neural Network Compression	paper
Model Compression And Acceleration	Compression of Deep Learning Models for Text: A Survey	paper
Model Compression And Acceleration	Dimensionality Reduced Training by Pruning and Freezing Parts of a Deep Neural Network, a Survey	paper
Model Compression And Acceleration	Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better	paper
Model Compression And Acceleration	Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey	paper
Model Compression And Acceleration	Pruning and Quantization for Deep Neural Network Acceleration: A Survey	paper
Model Compression And Acceleration	Survey on Large Scale Neural Network Training	paper
Multi Label Learning	A Review on Multi-Label Learning Algorithms	paper
Multi Label Learning	Multi-Label Classification: An Overview	paper
Multi Label Learning	Multi-label learning: a review of the state of the art and ongoing research	paper
Multi Label Learning	The Emerging Trends of Multi-Label Learning	paper
Multi Task And Multi View Learning	A Survey on Multi-Task Learning	paper
Multi Task And Multi View Learning	A Survey on Multi-view Learning	paper
Multi Task And Multi View Learning	A brief review on multi-task learning	paper
Multi Task And Multi View Learning	An Overview of Multi-Task Learning in Deep Neural Networks	paper
Multi Task And Multi View Learning	An Overview of Multi-Task Learning in Deep Neural Networks	paper
Multi Task And Multi View Learning	Multi-Task Learning for Dense Prediction Tasks: A Survey	paper
Multi Task And Multi View Learning	Multi-task learning for natural language processing in the 2020s: Where are we going?	paper
Online Learning	A survey of Algorithms and Analysis for Adaptive Online Learning	paper
Online Learning	Online continual learning in image classification: An empirical survey	paper
Online Learning	Online learning: A comprehensive survey	paper
Online Learning	Preference-based Online Learning with Dueling Bandits: A Survey	paper
Optimization	A Survey of Optimization Methods from a Machine Learning Perspective	paper
Optimization	A Systematic and Meta-Analysis Survey of Whale Optimization Algorithm	paper
Optimization	An overview of gradient descent optimization algorithms	paper
Optimization	Evolutionary Multitask Optimization: a Methodological Overview, Challenges and Future Research Directions	paper
Optimization	Gradient Boosting Machine: A Survey	paper
Optimization	Investigating Bi-Level Optimization for Learning and Vision From a Unified Perspective: A Survey and Beyond	paper
Optimization	Learning Combinatorial Optimization on Graphs: A Survey With Applications to Networking	paper
Optimization	Nature-Inspired Optimization Algorithms: Research Direction and Survey	paper
Optimization	Optimization for deep learning: theory and algorithms	paper
Optimization	Optimization problems for machine learning: A survey	paper
Optimization	Particle Swarm Optimization: A Survey of Historical and Recent Developments with Hybridization Perspectives	paper
Optimization	Why Do Local Methods Solve Nonconvex Problems?	paper
Semi Supervised, Weakly Supervised And Unsupervised Learning	A Survey on Deep Semi-supervised Learning	paper
Semi Supervised, Weakly Supervised And Unsupervised Learning	A Survey on Semi-Supervised Learning Techniques	paper
Semi Supervised, Weakly Supervised And Unsupervised Learning	Deep Learning for Weakly-Supervised Object Detection and Object Localization: A Survey	paper
Semi Supervised, Weakly Supervised And Unsupervised Learning	Graph-based Semi-supervised Learning: A Comprehensive Review	paper
Semi Supervised, Weakly Supervised And Unsupervised Learning	Improvability Through Semi-Supervised Learning: A Survey of Theoretical Results	paper
Semi Supervised, Weakly Supervised And Unsupervised Learning	Learning from positive and unlabeled data: a survey	paper
Semi Supervised, Weakly Supervised And Unsupervised Learning	Robust Deep Semi-Supervised Learning: A Brief Introduction	paper
Semi Supervised, Weakly Supervised And Unsupervised Learning	Self-Supervised Learning for Recommender Systems: A Survey	paper
Semi Supervised, Weakly Supervised And Unsupervised Learning	Self-Supervised Learning for Videos: A Survey	paper
Semi Supervised, Weakly Supervised And Unsupervised Learning	Unsupervised Cross-Lingual Representation Learning	paper
Transfer Learning	A Comprehensive Survey on Transfer Learning	paper
Transfer Learning	A Survey on Deep Transfer Learning	paper
Transfer Learning	A Survey on Transfer Learning	paper
Transfer Learning	A Survey on Transfer Learning in Natural Language Processing	paper
Transfer Learning	Evolution of transfer learning in natural language processing	paper
Transfer Learning	Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer	paper
Transfer Learning	Neural Unsupervised Domain Adaptation in NLP - A Survey	paper
Transfer Learning	Source-Free Unsupervised Domain Adaptation: A Survey	paper
Transfer Learning	Transfer Adaptation Learning: A Decade Survey	paper
Transfer Learning	Transfer Learning for Reinforcement Learning Domains: A Survey	paper
Transfer Learning	Transferability in Deep Learning: A Survey	paper
Trustworthy Machine Learning	A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability	paper
Trustworthy Machine Learning	A Survey of Neural Trojan Attacks and Defenses in Deep Learning	paper
Trustworthy Machine Learning	A Survey of Privacy Attacks in Machine Learning	paper
Trustworthy Machine Learning	A Survey on Bias and Fairness in Machine Learning	paper
Trustworthy Machine Learning	Differential Privacy and Machine Learning: a Survey and Review	paper
Trustworthy Machine Learning	Fairness in Machine Learning: A Survey	paper
Trustworthy Machine Learning	Privacy in Deep Learning: A Survey	paper
Trustworthy Machine Learning	Taxonomy of Machine Learning Safety: A Survey and Primer	paper
Trustworthy Machine Learning	Technology Readiness Levels for Machine Learning Systems	paper
Trustworthy Machine Learning	The Creation and Detection of Deepfakes: A Survey	paper
Trustworthy Machine Learning	Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks	paper
Trustworthy Machine Learning	Trustworthy AI: From Principles to Practices	paper
Trustworthy Machine Learning	Trustworthy Graph Neural Networks: Aspects, Methods and Trends	paper
Trustworthy Machine Learning	Tutorial: Safe and Reliable Machine Learning	paper
Trustworthy Machine Learning	When Machine Learning Meets Privacy: A Survey and Outlook	paper
Trustworthy Machine Learning	Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning	paper

Natural Language Processing

Category	Title	Links
Computational Social Science And Social Media	A Comprehensive Survey on Community Detection with Deep Learning	paper
Computational Social Science And Social Media	A Survey of Fake News: Fundamental Theories, Detection Methods, and Opportunities	paper
Computational Social Science And Social Media	A Survey of Race, Racism, and Anti-Racism in NLP	paper
Computational Social Science And Social Media	A Survey on Computational Propaganda Detection	paper
Computational Social Science And Social Media	A Survey on Trust Prediction in Online Social Networks	paper
Computational Social Science And Social Media	Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective	paper
Computational Social Science And Social Media	From Symbols to Embeddings: A Tale of Two Representations in Computational Social Science	paper
Computational Social Science And Social Media	Language (Technology) is Power: A Critical Survey of "Bias" in NLP	paper
Computational Social Science And Social Media	Societal Biases in Language Generation: Progress and Challenges	paper
Computational Social Science And Social Media	Tackling Online Abuse: A Survey of Automated Abuse Detection Methods	paper
Computational Social Science And Social Media	When do Word Embeddings Accurately Reflect Surveys on our Beliefs About People?	paper
Dialogue And Interactive Systems	A Survey of Intent Classification and Slot-Filling Datasets for Task-Oriented Dialog	paper
Dialogue And Interactive Systems	A survey of neural models for the automatic analysis of conversation: Towards a better integration of the social sciences	paper
Dialogue And Interactive Systems	Advances in Multi-turn Dialogue Comprehension: A Survey	paper
Dialogue And Interactive Systems	Conversational Agents: Theory and Applications	paper
Dialogue And Interactive Systems	Conversational Machine Comprehension: a Literature Review	paper
Dialogue And Interactive Systems	How to Evaluate Your Dialogue Models: A Review of Approaches	paper
Dialogue And Interactive Systems	Neural Approaches to Conversational AI	paper
Dialogue And Interactive Systems	POMDP-Based Statistical Spoken Dialog Systems: A Review	paper
Dialogue And Interactive Systems	Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Survey	paper
Dialogue And Interactive Systems	Utterance-level Dialogue Understanding: An Empirical Study	paper
Generation	A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Models	paper
Generation	A Survey of Knowledge-enhanced Text Generation	paper
Generation	A Survey of Pretrained Language Models Based Text Generation	paper
Generation	A Survey on Multi-hop Question Answering and Generation	paper
Generation	A Survey on Text Simplification	paper
Generation	Automatic Detection of Machine Generated Text: A Critical Survey	paper
Generation	Automatic Story Generation: Challenges and Attempts	paper
Generation	ChatGPT is not all you need. A State of the Art Review of large Generative AI models	paper
Generation	Data-Driven Sentence Simplification: Survey and Benchmark	paper
Generation	Deep Learning for Text Style Transfer: A Survey	paper
Generation	Human Evaluation of Creative NLG Systems: An Interdisciplinary Survey on Recent Papers	paper
Generation	Keyphrase Generation: A Multi-Aspect Survey	paper
Generation	Neural Language Generation: Formulation, Methods, and Evaluation	paper
Generation	Quiz-Style Question Generation for News Stories	paper
Generation	Survey of Hallucination in Natural Language Generation	paper
Information Extraction	A Review on Fact Extraction and Verification	paper
Information Extraction	A Survey of Textual Event Extraction from Social Networks	paper
Information Extraction	A Survey of event extraction methods from text for decision support systems	paper
Information Extraction	A Survey on Open Information Extraction	paper
Information Extraction	A survey of joint intent detection and slot-filling models in natural language understanding	paper
Information Extraction	An Overview of Event Extraction from Text	paper
Information Extraction	Complex Relation Extraction: Challenges and Opportunities	paper
Information Extraction	Extracting Events and Their Relations from Texts: A Survey on Recent Research Progress and Challenges	paper
Information Extraction	Knowledge Extraction in Low-Resource Scenarios: Survey and Perspective	paper
Information Extraction	Neural relation extraction: a survey	paper
Information Extraction	No Pattern, No Recognition: a Survey about Reproducibility and Distortion Issues of Text Clustering and Topic Modeling	paper
Information Extraction	Recent Neural Methods on Slot Filling and Intent Classification for Task-Oriented Dialogue Systems: A Survey	paper
Information Extraction	Techniques for Jointly Extracting Entities and Relations: A Survey	paper
Information Retrieval And Text Mining	A Survey on Retrieval-Augmented Text Generation	paper
Information Retrieval And Text Mining	Data Mining and Information Retrieval in the 21st century: A bibliographic review	paper
Information Retrieval And Text Mining	Dense Text Retrieval based on Pretrained Language Models: A Survey	paper
Information Retrieval And Text Mining	Neural Entity Linking: A Survey of Models based on Deep Learning	paper
Information Retrieval And Text Mining	Neural Models for Information Retrieval	paper
Information Retrieval And Text Mining	Pre-training Methods in Information Retrieval	paper
Information Retrieval And Text Mining	Relational world knowledge representation in contextual language models: A review	paper
Information Retrieval And Text Mining	Short Text Topic Modeling Techniques, Applications, and Performance: A Survey	paper
Information Retrieval And Text Mining	Taking Search to Task	paper
Information Retrieval And Text Mining	Topic Modelling Meets Deep Neural Networks: A Survey	paper
Interpretability And Analysis Of Models For Nlp	A Primer in BERTology: What We Know About How BERT Works	paper
Interpretability And Analysis Of Models For Nlp	A Survey of the State of Explainable AI for Natural Language Processing	paper
Interpretability And Analysis Of Models For Nlp	A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images	paper
Interpretability And Analysis Of Models For Nlp	A Survey on Explainability in Machine Reading Comprehension	paper
Interpretability And Analysis Of Models For Nlp	Analysis Methods in Neural Language Processing: A Survey	paper
Interpretability And Analysis Of Models For Nlp	Neuron-level Interpretation of Deep NLP Models: A Survey	paper
Interpretability And Analysis Of Models For Nlp	Post-hoc Interpretability for Neural NLP: A Survey	paper
Interpretability And Analysis Of Models For Nlp	Teach Me to Explain: A Review of Datasets for Explainable NLP	paper
Interpretability And Analysis Of Models For Nlp	Which *BERT? A Survey Organizing Contextualized Encoders	paper
Knowledge Graph	A Review of Relational Machine Learning for Knowledge Graphs	paper
Knowledge Graph	A Survey of Embedding Space Alignment Methods for Language and Knowledge Graphs	paper
Knowledge Graph	A Survey on Graph Neural Networks for Knowledge Graph Completion	paper
Knowledge Graph	Introduction to neural network-based question answering over knowledge graphs	paper
Knowledge Graph	Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces	paper
Knowledge Graph	Knowledge Graphs: An Information Retrieval Perspective	paper
Knowledge Graph	Knowledge graph refinement: A survey of approaches and evaluation methods	paper
Knowledge Graph	Multi-Modal Knowledge Graph Construction and Application: A Survey	paper
Knowledge Graph	Neural, symbolic and neural-symbolic reasoning on knowledge graphs	paper
Knowledge Graph	Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications	paper
Knowledge Graph	The Contribution of Knowledge in Visiolinguistic Learning: A Survey on Tasks and Challenges	paper
Language Grounding To Vision, Robotics And Beyond	Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods	paper
Large Language Models	A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT	paper
Large Language Models	A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT	paper
Large Language Models	A Survey of Large Language Models	paper
Large Language Models	AI-Augmented Surveys: Leveraging Large Language Models for Opinion Prediction in Nationally Representative Surveys	paper
Large Language Models	Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation	paper
Large Language Models	Eight Things to Know about Large Language Models	paper
Large Language Models	Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond	paper
Large Language Models	Language Model Behavior: A Comprehensive Survey	paper
Large Language Models	Large-scale Multi-Modal Pre-trained Models: A Comprehensive Survey	paper
Large Language Models	Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey	paper
Large Language Models	Shortcut Learning of Large Language Models in Natural Language Understanding: A Survey	paper
Large Language Models	Summary of ChatGPT/GPT-4 Research and Perspective Towards the Future of Large Language Models	paper
Large Language Models	The Contribution of Knowledge in Visiolinguistic Learning: A Survey on Tasks and Challenges	paper
Large Language Models	The Science of Detecting LLM-Generated Texts	paper
Large Language Models	The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs	paper
Large Language Models	Towards Reasoning in Large Language Models: A Survey	paper
Linguistic Theories, Cognitive Modeling And Psycholinguistics	A Survey of Code-switching: Linguistic and Social Perspectives for Language Technologies	paper
Linguistic Theories, Cognitive Modeling And Psycholinguistics	Survey on the Use of Typological Information in Natural Language Processing	paper
Machine Learning For Nlp	A Comprehensive Survey on Word Representation Models: From Classical to State-of-the-Art Word Representation Language Models	paper
Machine Learning For Nlp	A Survey of Data Augmentation Approaches for NLP	paper
Machine Learning For Nlp	A Survey of the Usages of Deep Learning in Natural Language Processing	paper
Machine Learning For Nlp	A Survey on Transfer Learning in Natural Language Processing	paper
Machine Learning For Nlp	An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data	paper
Machine Learning For Nlp	Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning-Based Methods	paper
Machine Learning For Nlp	Federated Learning Meets Natural Language Processing: A Survey	paper
Machine Learning For Nlp	From Word To Sense Embeddings: A Survey on Vector Representations of Meaning	paper
Machine Learning For Nlp	Graph Neural Networks for Natural Language Processing: A Survey	paper
Machine Learning For Nlp	Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems	paper
Machine Learning For Nlp	Narrative Science Systems: A Review	paper
Machine Learning For Nlp	Symbolic, Distributed, and Distributional Representations for Natural Language Processing in the Era of Deep Learning: A Survey	paper
Machine Learning For Nlp	Token-Modification Adversarial Attacks for Natural Language Processing: A Survey	paper
Machine Translation	A Comprehensive Survey of Multilingual Neural Machine Translation	paper
Machine Translation	A Survey of Deep Learning Techniques for Neural Machine Translation	paper
Machine Translation	A Survey of Domain Adaptation for Neural Machine Translation	paper
Machine Translation	A Survey of Methods to Leverage Monolingual Data in Low-resource Neural Machine Translation	paper
Machine Translation	A Survey of Orthographic Information in Machine Translation	paper
Machine Translation	A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena	paper
Machine Translation	A Survey on Document-level Neural Machine Translation: Methods and Evaluation	paper
Machine Translation	A Survey on Low-Resource Neural Machine Translation	paper
Machine Translation	A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond	paper
Machine Translation	Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey	paper
Machine Translation	Gender Bias in Machine Translation	paper
Machine Translation	Machine Translation Approaches and Survey for Indian Languages	paper
Machine Translation	Machine Translation using Semantic Web Technologies: A Survey	paper
Machine Translation	Machine-Translation History and Evolution: Survey for Arabic-English Translations	paper
Machine Translation	Multimodal Machine Translation through Visuals and Speech	paper
Machine Translation	Neural Machine Translation and Sequence-to-sequence Models: A Tutorial	paper
Machine Translation	Neural Machine Translation for Low-Resource Languages: A Survey	paper
Machine Translation	Neural Machine Translation: A Review	paper
Machine Translation	Neural Machine Translation: Challenges, Progress and Future	paper
Machine Translation	Neural machine translation: A review of methods, resources, and tools	paper
Machine Translation	Survey of Low-Resource Machine Translation	paper
Machine Translation	The Query Translation Landscape: a Survey	paper
Nlp Applications	A Short Survey of Biomedical Relation Extraction Techniques	paper
Nlp Applications	A Survey of Learning-based Automated Program Repair	paper
Nlp Applications	A Survey on Legal Judgment Prediction: Datasets, Metrics, Models and Challenges	paper
Nlp Applications	A survey on natural language processing (NLP) and applications in insurance	paper
Nlp Applications	Android Security using NLP Techniques: A Review	paper
Nlp Applications	Disinformation Detection: A review of linguistic feature selection and classification models in news veracity assessments	paper
Nlp Applications	Extraction and Analysis of Fictional Character Networks: A Survey	paper
Nlp Applications	How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence	paper
Nlp Applications	Natural language based financial forecasting: a survey	paper
Nlp Applications	Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review	paper
Nlp Applications	SECNLP: A survey of embeddings in clinical natural language processing	paper
Nlp Applications	Survey of Natural Language Processing Techniques in Bioinformatics	paper
Nlp Applications	Survey of Text-based Epidemic Intelligence: A Computational Linguistics Perspective	paper
Nlp Applications	The Potential of Machine Learning and NLP for Handling Students' Feedback (A Short Survey)	paper
Nlp Applications	Towards Improved Model Design for Authorship Identification: A Survey on Writing Style Understanding	paper
Named Entity Recognition	A Survey of Arabic Named Entity Recognition and Classification	paper
Named Entity Recognition	A Survey of Named Entity Recognition in Assamese and other Indian Languages	paper
Named Entity Recognition	A Survey on Deep Learning for Named Entity Recognition	paper
Named Entity Recognition	A Survey on Recent Advances in Named Entity Recognition from Deep Learning models	paper
Named Entity Recognition	Design Challenges and Misconceptions in Neural Sequence Labeling	paper
Natural Language Processing	A Brief Survey and Comparative Study of Recent Development of Pronoun Coreference Resolution	paper
Natural Language Processing	A Neural Entity Coreference Resolution Review	paper
Natural Language Processing	A Review of Bangla Natural Language Processing Tasks and the Utility of Transformer Models	paper
Natural Language Processing	A Survey and Classification of Controlled Natural Languages	paper
Natural Language Processing	A Survey for In-context Learning	paper
Natural Language Processing	A Survey of Implicit Discourse Relation Recognition	paper
Natural Language Processing	A Survey on Bias and Fairness in Natural Language Processing	paper
Natural Language Processing	A Survey on Dynamic Neural Networks for Natural Language Processing	paper
Natural Language Processing	A Survey on Large-scale Machine Learning	paper
Natural Language Processing	A Survey on Model Compression for Natural Language Processing	paper
Natural Language Processing	A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios	paper
Natural Language Processing	A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directions	paper
Natural Language Processing	A bit of progress in language modeling	paper
Natural Language Processing	An Introductory Survey on Attention Mechanisms in NLP Problems	paper
Natural Language Processing	Attention in Natural Language Processing	paper
Natural Language Processing	Automatic Arabic Dialect Identification Systems for Written Texts: A Survey	paper
Natural Language Processing	Efficient Methods for Natural Language Processing: A Survey	paper
Natural Language Processing	Experience Grounds Language	paper
Natural Language Processing	How Commonsense Knowledge Helps with Natural Language Tasks: A Survey of Recent Resources and Methodologies	paper
Natural Language Processing	Jumping NLP Curves: A Review of Natural Language Processing Research [Review Article]	paper
Natural Language Processing	Meta Learning for Natural Language Processing: A Survey	paper
Natural Language Processing	Natural Language Processing - A Survey	paper
Natural Language Processing	Natural language processing: state of the art, current trends and challenges	paper
Natural Language Processing	Overview of the Transformer-based Models for NLP Tasks	paper
Natural Language Processing	Paradigm Shift in Natural Language Processing	paper
Natural Language Processing	Putting Humans in the Natural Language Processing Loop: A Survey	paper
Natural Language Processing	State-of-the-art generalisation research in NLP: a taxonomy and review	paper
Natural Language Processing	Survey on Publicly Available Sinhala Natural Language Processing Tools and Research	paper
Natural Language Processing	Word Alignment in the Era of Deep Learning: A Tutorial	paper
Pretrained Models	A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives	paper
Pretrained Models	A Review on Language Models as Knowledge Bases	paper
Pretrained Models	A Short Survey of Pre-trained Language Models for Conversational AI-A NewAge in NLP	paper
Pretrained Models	A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Models	paper
Pretrained Models	A Survey of Vision-Language Pre-Trained Models	paper
Pretrained Models	AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing	paper
Pretrained Models	Commonsense Reasoning for Conversational AI: A Survey of the State of the Art	paper
Pretrained Models	Dense Text Retrieval based on Pretrained Language Models: A Survey	paper
Pretrained Models	Pre-Trained Models: Past, Present and Future	paper
Pretrained Models	Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing	paper
Pretrained Models	Pre-trained Models for Natural Language Processing: A Survey	paper
Pretrained Models	Pre-training Methods in Information Retrieval	paper
Pretrained Models	Pretrained Language Models for Text Generation: A Survey	paper
Pretrained Models	Pretrained Transformers for Text Ranking: BERT and Beyond	paper
Pretrained Models	Survey: Transformer based video-language pre-training	paper
Pretrained Models	VLP: A Survey on Vision-language Pre-training	paper
Prompt	Is Prompt All You Need? No. A Comprehensive and Broader View of Instruction Learning	paper
Prompt	OpenPrompt: An Open-source Framework for Prompt-learning	paper
Prompt	Reasoning with Language Model Prompting: A Survey	paper
Question Answering	A Survey of Question Answering over Knowledge Base	paper
Question Answering	A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions	paper
Question Answering	A Survey on Complex Question Answering over Knowledge Base: Recent Advances and Challenges	paper
Question Answering	A Survey on Multi-hop Question Answering and Generation	paper
Question Answering	A Survey on Why-Type Question Answering Systems	paper
Question Answering	A survey on question answering technology from an information retrieval perspective	paper
Question Answering	Complex Knowledge Base Question Answering: A Survey	paper
Question Answering	Core techniques of question answering systems over knowledge bases: a survey	paper
Question Answering	Introduction to Neural Network based Approaches for Question Answering over Knowledge Graphs	paper
Question Answering	Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study	paper
Question Answering	Survey of Visual Question Answering: Datasets and Techniques	paper
Question Answering	Text-based question answering from information retrieval and deep neural network perspectives: A survey	paper
Question Answering	Tutorial on Answering Questions about Images with Deep Learning	paper
Question Answering	Visual Question Answering using Deep Learning: A Survey and Performance Analysis	paper
Reading Comprehension	A Survey on Machine Reading Comprehension Systems	paper
Reading Comprehension	A Survey on Machine Reading Comprehension: Tasks, Evaluation Metrics, and Benchmark Datasets	paper
Reading Comprehension	A Survey on Neural Machine Reading Comprehension	paper
Reading Comprehension	Machine Reading Comprehension: The Role of Contextualized Language Models and Beyond	paper
Reading Comprehension	Machine Reading Comprehension: a Literature Review	paper
Reading Comprehension	Neural Machine Reading Comprehension: Methods and Trends	paper
Recommender Systems	A Review of Dataset and Labeling Methods for Causality Extraction	paper
Recommender Systems	A Survey of Accuracy Evaluation Metrics of Recommendation Tasks	paper
Recommender Systems	A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions	paper
Recommender Systems	A Survey on Adversarial Recommender Systems: From Attack/Defense Strategies to Generative Adversarial Networks	paper
Recommender Systems	A Survey on Conversational Recommender Systems	paper
Recommender Systems	A Survey on Knowledge Graph-Based Recommender Systems	paper
Recommender Systems	A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation	paper
Recommender Systems	A Survey on Reinforcement Learning for Recommender Systems	paper
Recommender Systems	A Survey on Session-based Recommender Systems	paper
Recommender Systems	A review on deep learning for recommender systems: challenges and remedies	paper
Recommender Systems	A survey on personality-aware recommendation systems	paper
Recommender Systems	Bias and Debias in Recommender System: A Survey and Future Directions	paper
Recommender Systems	Collaborative Filtering beyond the User-Item Matrix: A Survey of the State of the Art and Future Challenges	paper
Recommender Systems	Comparison of collaborative filtering algorithms: Limitations of current techniques and proposals for scalable, high-performance recommender systems	paper
Recommender Systems	Cross Domain Recommender Systems: A Systematic Literature Review	paper
Recommender Systems	Cross-Domain Recommendation: Challenges, Progress, and Prospects	paper
Recommender Systems	Deep Learning Based Recommender System: A Survey and New Perspectives	paper
Recommender Systems	Deep Learning on Knowledge Graph for Recommender System: A Survey	paper
Recommender Systems	Deep Meta-learning in Recommendation Systems: A Survey	paper
Recommender Systems	Diversity in recommender systems - A survey	paper
Recommender Systems	Explainable Recommendation: A Survey and New Perspectives	paper
Recommender Systems	Graph Learning Approaches to Recommender Systems: A Review	paper
Recommender Systems	Graph Neural Networks in Recommender Systems: A Survey	paper
Recommender Systems	Parallel and Distributed Collaborative Filtering: A Survey	paper
Recommender Systems	Recommender systems survey	paper
Recommender Systems	Sequence-Aware Recommender Systems	paper
Recommender Systems	Social recommendation: a review	paper
Recommender Systems	Tag-Aware Recommender Systems: A State-of-the-Art Survey	paper
Recommender Systems	Use of Deep Learning in Modern Recommendation System: A Summary of Recent Works	paper
Resources And Evaluation	A Short Survey on Sense-Annotated Corpora	paper
Recommender	Recommender systems survey	paper
Recommender	Deep Learning based Recommender System: A Survey and New Perspectives	paper
Recommender	Are We Really Making Progress? An Analysis of Neural Recommendation Approaches	paper
Recommender	A Survey of Serendipity in Recommender Systems	paper
Recommender	Diversity in Recommender Systems – A survey	paper
Recommender	A Survey of Explanations in Recommender Systems	paper
Resources And Evaluation	A Survey of Current Datasets for Vision and Language Research	paper
Resources And Evaluation	A Survey of Evaluation Metrics Used for NLG Systems	paper
Resources And Evaluation	A Survey of Word Embeddings Evaluation Methods	paper
Resources And Evaluation	A Survey on Recognizing Textual Entailment as an NLP Evaluation	paper
Resources And Evaluation	Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resources	paper
Resources And Evaluation	Corpora Annotated with Negation: An Overview	paper
Resources And Evaluation	Critical Survey of the Freely Available Arabic Corpora	paper
Resources And Evaluation	Efficient Methods for Natural Language Processing: A Survey	paper
Resources And Evaluation	Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text	paper
Resources And Evaluation	Survey on Publicly Available Sinhala Natural Language Processing Tools and Research	paper
Resources And Evaluation	Survey on evaluation methods for dialogue systems	paper
Semantics	A Survey of Syntactic-Semantic Parsing Based on Constituent and Dependency Structures	paper
Semantics	A reproducible experimental survey on biomedical sentence similarity: a string-based method sets the state of the art	paper
Semantics	A reproducible survey on word embeddings and ontology-based methods for word similarity: Linear combinations outperform the state of the art	paper
Semantics	A survey of loss functions for semantic segmentation	paper
Semantics	Argument Linking: A Survey and Forecast	paper
Semantics	Corpus-Based Paraphrase Detection Experiments and Review	paper
Semantics	Diachronic word embeddings and semantic shifts: a survey	paper
Semantics	Distributional Measures of Semantic Distance: A Survey	paper
Semantics	Evolution of Semantic Similarity - A Survey	paper
Semantics	Semantic Search on Text and Knowledge Bases	paper
Semantics	Semantics, Modelling, and the Problem of Representation of Meaning --a Brief Survey of Recent Literature	paper
Semantics	Survey of Computational Approaches to Diachronic Conceptual Change	paper
Semantics	The Knowledge Acquisition Bottleneck Problem in Multilingual Word Sense Disambiguation	paper
Semantics	Word sense disambiguation: A survey	paper
Semantics	Word sense disambiguation: a survey	paper
Sentiment Analysis, Stylistic Analysis And Argument Mining	360 degree view of cross-domain opinion classification: a survey	paper
Sentiment Analysis, Stylistic Analysis And Argument Mining	A Survey On Semantic Steganography Systems	paper
Sentiment Analysis, Stylistic Analysis And Argument Mining	A Survey on Sentiment and Emotion Analysis for Computational Literary Studies	paper
Sentiment Analysis, Stylistic Analysis And Argument Mining	Automatic Sarcasm Detection: A Survey	paper
Sentiment Analysis, Stylistic Analysis And Argument Mining	Deep Learning for Aspect-Level Sentiment Classification: Survey, Vision, and Challenges	paper
Sentiment Analysis, Stylistic Analysis And Argument Mining	Deep learning for sentiment analysis: A survey	paper
Sentiment Analysis, Stylistic Analysis And Argument Mining	Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances	paper
Sentiment Analysis, Stylistic Analysis And Argument Mining	Fine-grained Financial Opinion Mining: A Survey and Research Agenda	paper
Sentiment Analysis, Stylistic Analysis And Argument Mining	Sentiment Analysis of Czech Texts: An Algorithmic Survey	paper
Sentiment Analysis, Stylistic Analysis And Argument Mining	Sentiment Analysis of Twitter Data : A Survey of Techniques	paper
Sentiment Analysis, Stylistic Analysis And Argument Mining	Sentiment Analysis on YouTube: A Brief Survey	paper
Sentiment Analysis, Stylistic Analysis And Argument Mining	Sentiment analysis for Arabic language: A brief survey of approaches and techniques	paper
Sentiment Analysis, Stylistic Analysis And Argument Mining	Sentiment/subjectivity analysis survey for languages other than English	paper
Sentiment Analysis, Stylistic Analysis And Argument Mining	Towards Argument Mining for Social Good: A Survey	paper
Sentiment Analysis, Stylistic Analysis And Argument Mining	Word Embeddings for Sentiment Analysis: A Comprehensive Empirical Survey	paper
Speech And Multimodality	A Comprehensive Survey on Cross-modal Retrieval	paper
Speech And Multimodality	A Multimodal Memes Classification: A Survey and Open Research Issues	paper
Speech And Multimodality	A Survey : Neural Networks for AMR-to-Text	paper
Speech And Multimodality	A Survey of Code-switched Speech and Language Processing	paper
Speech And Multimodality	A Survey of Deep Learning Approaches for OCR and Document Understanding	paper
Speech And Multimodality	A Survey of Recent DNN Architectures on the TIMIT Phone Recognition Task	paper
Speech And Multimodality	A Survey of Vision-Language Pre-Trained Models	paper
Speech And Multimodality	A Survey on Spoken Language Understanding: Recent Advances and New Frontiers	paper
Speech And Multimodality	A Thorough Review on Recent Deep Learning Methodologies for Image Captioning	paper
Speech And Multimodality	A survey and taxonomy of adversarial neural networks for text-to-image synthesis	paper
Speech And Multimodality	Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures (Extended Abstract)	paper
Speech And Multimodality	Automatic Speech Recognition using limited vocabulary: A survey	paper
Speech And Multimodality	Image Captioning based on Deep Learning Methods: A Survey	paper
Speech And Multimodality	Learning in Audio-visual Context: A Review, Analysis, and New Perspective	paper
Speech And Multimodality	Multimodal Intelligence: Representation Learning, Information Fusion, and Applications	paper
Speech And Multimodality	Multimodal Learning with Transformers: A Survey	paper
Speech And Multimodality	Multimodal Machine Learning: A Survey and Taxonomy	paper
Speech And Multimodality	Perspectives and Prospects on Transformer Architecture for Cross-Modal Tasks with Language and Vision	paper
Speech And Multimodality	Reasoning about Actions over Visual and Linguistic Modalities: A Survey	paper
Speech And Multimodality	Referring Expression Comprehension: A Survey of Methods and Datasets	paper
Speech And Multimodality	Survey: Transformer based video-language pre-training	paper
Speech And Multimodality	Text Detection and Recognition in the Wild: A Review	paper
Speech And Multimodality	Text Recognition in the Wild: A Survey	paper
Speech And Multimodality	Thank you for Attention: A survey on Attention-based Artificial Neural Networks for Automatic Speech Recognition	paper
Speech And Multimodality	Unsupervised Vision-Language Grammar Induction with Shared Structure Modeling	paper
Speech And Multimodality	VLP: A Survey on Vision-language Pre-training	paper
Speech And Multimodality	Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions	paper
Speech And Multimodality	Visual question answering: A survey of methods and datasets	paper
Speech And Multimodality	Visual question answering: Datasets, algorithms, and future challenges	paper
Summarization	A Survey of the State-of-the-Art Models in Neural Abstractive Text Summarization	paper
Summarization	A Survey on Cross-Lingual Summarization	paper
Summarization	A Survey on Dialogue Summarization: Recent Advances and New Frontiers	paper
Summarization	A Survey on Neural Network-Based Summarization Methods	paper
Summarization	Abstractive Meeting Summarization: A Survey	paper
Summarization	Abstractive Summarization: A Survey of the State of the Art	paper
Summarization	Automated text summarisation and evidence-based medicine: A survey of two domains	paper
Summarization	Automatic Keyword Extraction for Text Summarization: A Survey	paper
Summarization	Automatic summarization of scientific articles: A survey	paper
Summarization	From Standard Summarization to New Tasks and Beyond: Summarization with Manifold Information	paper
Summarization	How to Evaluate a Summarizer: Study Design and Statistical Analysis for Manual Linguistic Quality Evaluation	paper
Summarization	Knowledge-aware document summarization: A survey of knowledge, embedding methods and architectures	paper
Summarization	Multi-document Summarization via Deep Learning Techniques: A Survey	paper
Summarization	Neural Abstractive Text Summarization with Sequence-to-Sequence Models	paper
Summarization	Recent automatic text summarization techniques: a survey	paper
Summarization	The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey	paper
Summarization	What Have We Achieved on Text Summarization?	paper
Tagging, Chunking, Syntax And Parsing	A Survey of Syntactic-Semantic Parsing Based on Constituent and Dependency Structures	paper
Tagging, Chunking, Syntax And Parsing	A Survey on Recent Advances in Sequence Labeling from Deep Learning Models	paper
Tagging, Chunking, Syntax And Parsing	A Survey on Semantic Parsing	paper
Tagging, Chunking, Syntax And Parsing	A Survey on Semantic Parsing from the perspective of Compositionality	paper
Tagging, Chunking, Syntax And Parsing	A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directions	paper
Tagging, Chunking, Syntax And Parsing	A survey of cross-lingual features for zero-shot cross-lingual semantic parsing	paper
Tagging, Chunking, Syntax And Parsing	Context Dependent Semantic Parsing: A Survey	paper
Tagging, Chunking, Syntax And Parsing	Design Challenges and Misconceptions in Neural Sequence Labeling	paper
Tagging, Chunking, Syntax And Parsing	Sememe knowledge computation: a review of recent advances in application and expansion of sememe knowledge bases	paper
Tagging, Chunking, Syntax And Parsing	Syntax Representation in Word Embeddings and Neural Networks - A Survey	paper
Text Classification	A Survey of Active Learning for Text Classification using Deep Neural Networks	paper
Text Classification	A Survey on Data Augmentation for Text Classification	paper
Text Classification	A Survey on Natural Language Processing for Fake News Detection	paper
Text Classification	A Survey on Stance Detection for Mis- and Disinformation Identification	paper
Text Classification	A Survey on Text Classification: From Shallow to Deep Learning	paper
Text Classification	Automatic Language Identification in Texts: A Survey	paper
Text Classification	Deep Learning-based Text Classification: A Comprehensive Review	paper
Text Classification	Fake News Detection using Stance Classification: A Survey	paper
Text Classification	Semantic text classification: A survey of past and recent advances	paper
Text Classification	Text Classification Algorithms: A Survey	paper

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Engineer1999

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Engineer1999/A-Curated-List-of-Must-Read-ML-Research-Papers

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updated Jul 29, 2025

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README

A Curated List of Must-Read Machine Learning Research Papers

Machine Learning Research Papers Survey Collection

📋 Description

Keywords: Machine Learning Papers, Deep Learning Research, Neural Networks, AI Research Papers, Computer Vision, Natural Language Processing, Academic Resources, ML Survey, AI Literature Review

🌐 Featured Resource: HorizonX.live

Supercharge your Rresearch journey with HorizonX.live — the all-in-one platform for all your research needs.

🔍 Search & Explore: Instantly find trending ML papers, code, and datasets.
🗂️ Personalized Libraries: Save, organize, and annotate your favorite research.
📝 Interactive Paper Summaries: Concise, easy-to-digest summaries for each paper.

🚀 Upcoming Features

We are continuously working to enhance this resource! Here are some exciting features coming soon:

🌟 Upcoming Features

🟢 Context-Aware Literature Engine
Speed up your literature review with AI that understands your research context.
🤖 AI-Powered Brainstorming Engine
Collaborate with your intelligent assistant to spark, shape, and elevate breakthrough ideas.
🛠️ Low-Code Data Analysis
Transform raw data into publication-ready charts and insights—no coding required.
👥 Real-Time Collaboration
Google Docs meets research-grade Overleaf for seamless teamwork.
🔗 Unified Knowledge Nexus
A single intelligent workspace that connects your ideas, insights, and research tools.
📚 Automated Citation Manager
Intelligent reference management system for effortless citations.
📝 Smart Formatting Assistant
Journal compliance made effortless.
🔍 Pre-Publication Quality Check
Your 24/7 peer review partner for manuscript quality assurance.
💻 On-Demand HPC Access
Computing power without the setup headaches.

Stay tuned for these updates and feel free to suggest features or contribute!

Try it now: https://horizonx.live

✨ Features

🎯 Comprehensive Coverage

500+ Research Papers across ML and NLP domains
40+ Categories including Deep Learning, Computer Vision, Reinforcement Learning, and more
Regular Updates with latest breakthrough papers and surveys

🏷️ Organized Categorization

Machine Learning: Architectures, AutoML, Graph Neural Networks, Optimization
Natural Language Processing: Large Language Models, Machine Translation, Information Extraction
Specialized Topics: Federated Learning, Meta Learning, Trustworthy AI

🔗 Direct Access

One-click access to paper PDFs and arXiv links
Standardized format for easy navigation
Mobile-friendly table layout for on-the-go research

🔄 Continuous Updates

Active maintenance with new papers added regularly
Community contributions welcome via pull requests
Version control to track additions and improvements

💡 Why This Resource is Valuable

🎓 For Students & Researchers

Accelerate literature review process with pre-filtered, high-impact papers
Discover research gaps and identify trending topics in your field
Build strong foundations with seminal papers across different domains
Stay current with the latest developments in AI research

🏢 For Industry Professionals

Bridge theory-practice gap with implementation-focused surveys
Make informed decisions about technology adoption and research directions
Benchmark against state-of-the-art methods in your domain
Enhance team knowledge with curated reading lists

👨‍🏫 For Educators

Course material preparation with authoritative references
Student assignment resources with verified, high-quality papers
Curriculum development across ML and NLP specializations
Research supervision with comprehensive literature foundations

🌟 Unique Value Propositions

Time-saving: Hours of research condensed into organized categories
Quality-assured: Only influential, peer-reviewed papers included
Comprehensive: Covers both foundational and cutting-edge research
Accessible: Free, open-source resource available to everyone

🚀 How to Use

📖 Quick Start Guide

Browse by Category: Navigate to specific sections (Machine Learning or Natural Language Processing)
Find Your Topic: Use the category column to locate papers in your area of interest
Access Papers: Click on paper links to read full research articles
Track Progress: Star the repository to bookmark and receive updates

📚 Research Workflow

Start with Surveys: Look for "Survey" or "Review" papers in your topic area
Follow Citations: Use papers' reference lists to find additional relevant work
Check Recency: Balance foundational papers with recent developments
Cross-Reference: Compare findings across multiple papers in the same category

🎯 Targeted Use Cases

Use Case	Recommended Approach
Literature Review	Start with survey papers, then explore specific subtopics
Course Preparation	Select 2-3 papers per category for comprehensive coverage
Industry Research	Focus on "Applications" and "Methods" categories
Thesis Research	Begin with foundational papers, then recent advances

📱 Mobile Optimization

Responsive design works seamlessly on smartphones and tablets
Bookmark sections for quick mobile access during commutes
Offline reading available after cloning the repository

📊 Research Paper Collections

Machine Learning

Category	Title	Links
Architectures	A General Survey on Attention Mechanisms in Deep Learning	paper
Architectures	A Practical Survey on Faster and Lighter Transformers	paper
Architectures	A Review of Sparse Expert Models in Deep Learning	paper
Architectures	A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects	paper
Architectures	A Survey of End-to-End Driving: Architectures and Training Methods	paper
Architectures	A Survey on Activation Functions and their relation with Xavier and He Normal Initialization	paper
Architectures	A Survey on Latent Tree Models and Applications	paper
Architectures	A Survey on Vision Transformer	paper
Architectures	A survey of the recent architectures of deep convolutional neural networks	paper
Architectures	A survey of transformers	paper
Architectures	A survey on modern trainable activation functions	paper
Architectures	An Attentive Survey of Attention Models	paper
Architectures	An Introduction to Autoencoders	paper
Architectures	Attention mechanisms and deep learning for machine vision: A survey of the state of the art	paper
Architectures	Attention mechanisms in computer vision: A survey	paper
Architectures	Big networks: A survey	paper
Architectures	Binary neural networks: A survey	paper
Architectures	Deep Echo State Network (DeepESN): A Brief Survey	paper
Architectures	Deep Tree Transductions - A Short Survey	paper
Architectures	Efficient Transformers: A Survey	paper
Architectures	Learning with Capsules: A Survey	paper
Architectures	On the Opportunity of Causal Deep Generative Models: A Survey and Future Directions	paper
Architectures	Pooling Methods in Deep Neural Networks, a Review	paper
Architectures	Position Information in Transformers: An Overview	paper
Architectures	Recent advances in convolutional neural networks	paper
Architectures	Sum-Product Networks: A Survey	paper
Architectures	Survey of Dropout Methods for Deep Neural Networks	paper
Architectures	Survey on the attention based RNN model and its applications in computer vision	paper
Architectures	The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches	paper
Architectures	The NLP Cookbook: Modern Recipes for Transformer Based Deep Learning Architectures	paper
Architectures	Transformers in Vision: A Survey	paper
Architectures	Understanding LSTM - a tutorial into Long Short-Term Memory Recurrent Neural Networks	paper
Automl	A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions	paper
Automl	A Comprehensive Survey on Automated Machine Learning for Recommendations	paper
Automl	A Comprehensive Survey on Hardware-Aware Neural Architecture Search	paper
Automl	A Review of Meta-Reinforcement Learning for Deep Neural Networks Architecture Search	paper
Automl	A Survey on Neural Architecture Search	paper
Automl	AutoML for Deep Recommender Systems: A Survey	paper
Automl	AutoML: A Survey of the State-of-the-Art	paper
Automl	Automated Machine Learning on Graphs: A Survey	paper
Automl	Neural Architecture Search: A Survey	paper
Automl	Reinforcement learning for neural architecture search: A review	paper
Automl	Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues	paper
Bayesian Methods	A Survey of Non-Exchangeable Priors for Bayesian Nonparametric Models	paper
Bayesian Methods	A Survey on Bayesian Deep Learning	paper
Bayesian Methods	Bayesian Neural Networks: An Introduction and Survey	paper
Bayesian Methods	Bayesian Nonparametric Space Partitions: A Survey	paper
Bayesian Methods	Deep Bayesian Active Learning, A Brief Survey on Recent Advances	paper
Bayesian Methods	Taking the Human Out of the Loop: A Review of Bayesian Optimization	paper
Classification, Clustering And Regression	A Continual Learning Survey: Defying Forgetting in Classification Tasks	paper
Classification, Clustering And Regression	A Survey of Classification Techniques in the Area of Big Data	paper
Classification, Clustering And Regression	A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges	paper
Classification, Clustering And Regression	A Survey of Deep Graph Clustering: Taxonomy, Challenge, and Application	paper
Classification, Clustering And Regression	A Survey of Machine Learning Methods and Challenges for Windows Malware Classification	paper
Classification, Clustering And Regression	A Survey of Methods for Managing the Classification and Solution of Data Imbalance Problem	paper
Classification, Clustering And Regression	A Survey of Techniques All Classifiers Can Learn from Deep Networks: Models, Optimizations, and Regularization	paper
Classification, Clustering And Regression	A Survey on Multi-View Clustering	paper
Classification, Clustering And Regression	Comprehensive comparative study of multi-label classification methods	paper
Classification, Clustering And Regression	Deep Clustering: A Comprehensive Survey	paper
Classification, Clustering And Regression	Deep learning for time series classification: a review	paper
Classification, Clustering And Regression	How Complex Is Your Classification Problem?: A Survey on Measuring Classification Complexity	paper
Deep Learning	A State-of-the-Art Survey on Deep Learning Theory and Architectures (2019)	paper
Deep Learning	Knowledge Distillation: A Survey (2021)	paper
Deep Learning	Compression of Deep Learning Models for Text: A Survey (2020)	paper
Deep Learning	A Survey on Deep Transfer Learning (2018)	paper
Deep Learning	A Comprehensive Survey of Neural Architecture Search (2021)	paper
Deep Learning	Neural Architecture Search: A Survey (2019)	paper
Natural Language Processing	Recent Trends in Deep Learning Based Natural Language Processing (2018)	paper
Natural Language Processing	Deep Learning Based Text Classification: A Comprehensive Review (2021)	paper
Natural Language Processing	Survey of the SOTA in Natural Language Generation: Core tasks, applications and evaluation (2018)	paper
Natural Language Processing	Neural Language Generation: Formulation, Methods, and Evaluation (2020)	paper
Natural Language Processing	Exploring Transfer Learning with T5: the Text-To-Text Transfer Transformer (2020)	paper
Natural Language Processing	Efficient Transformers: A Survey (2020)	paper
Natural Language Processing	Beyond Accuracy: Behavioral Testing of NLP Models with CheckList (2020)	paper
Natural Language Processing	Evaluation of Text Generation: A Survey (2020)	paper
Vision and Language	Trends in Integration of Vision and Language Research: Tasks, Datasets, and Methods (2021)	paper
Vision and Language	Multimodal Research in Vision and Language: Current and Emerging Trends (2020)	paper
Reinforcement Learning	A Brief Survey of Deep Reinforcement Learning (2017)	paper
Reinforcement Learning	Transfer Learning for Reinforcement Learning Domains (2009)	paper
Reinforcement Learning	Review of Deep Reinforcement Learning Methods and Applications in Economics (2020)	paper
Reinforcement Learning	Deep Reinforcement Learning for Search, Recommendation, and Online Advertising (2018)	paper
Graph	A Comprehensive Survey on Graph Neural Networks (2019)	paper
Graph	A Practical Guide to Graph Neural Networks (2020)	paper
Graph	A systematic literature review of graph-based anomaly detection approaches (2020)	paper
Graph	A Comprehensive Introduction to Knowledge Graphs (2021)	paper
Embeddings	From Word to Sense Embeddings: A Survey on Vector Representations of Meaning (2018)	paper
Embeddings	Diachronic Word Embeddings and Semantic Shifts (2018)	paper
Embeddings	Word Embeddings: A Survey (2019)	paper
Embeddings	A Reproducible Survey on Word Embeddings and Ontology-based Methods for Word Similarity (2019)	paper
Embeddings	A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications (2017)	paper
Meta-learning and Few-shot Learning	Meta-learning for Few-shot Natural Language Processing: A Survey (2020)	paper
Meta-learning and Few-shot Learning	Learning from Few Samples: A Survey (2020)	paper
Meta-learning and Few-shot Learning	Meta-Learning in Neural Networks: A Survey (2020)	paper
Meta-learning and Few-shot Learning	A Comprehensive Overview and Survey of Recent Advances in Meta-Learning (2020)	paper
Meta-learning and Few-shot Learning	Baby steps towards few-shot learning with multiple semantics (2020)	paper
Meta-learning and Few-shot Learning	Meta-Learning: A Survey (2018)	paper
Meta-learning and Few-shot Learning	A Perspective View And Survey Of Meta-learning (2002)	paper
Computer Vision	3D Object Detection for Autonomous Driving: A Survey	paper
Computer Vision	3D Object Detection from Images for Autonomous Driving: A Survey	paper
Computer Vision	3D Vision with Transformers: A Survey	paper
Computer Vision	3D human motion prediction: A survey	paper
Computer Vision	A Survey of Deep Face Restoration: Denoise, Super-Resolution, Deblur, Artifact Removal	paper
Computer Vision	A Survey of Vision-Language Pre-Trained Models	paper
Computer Vision	A Survey of Visual Sensory Anomaly Detection	paper
Computer Vision	A Survey of Visual Transformers	paper
Computer Vision	A Survey on Applications of Augmented, Mixed and Virtual Reality for Nature and Environment	paper
Computer Vision	A Survey on Deep Learning Technique for Video Segmentation	paper
Computer Vision	A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective	paper
Computer Vision	A Survey on Label-efficient Deep Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction	paper
Computer Vision	A Survey on Visual Map Localization Using LiDARs and Cameras	paper
Computer Vision	A Technical Survey and Evaluation of Traditional Point Cloud Clustering Methods for LiDAR Panoptic Segmentation	paper
Computer Vision	A survey of modern deep learning based object detection models	paper
Computer Vision	A survey of top-down approaches for human pose estimation	paper
Computer Vision	A survey on deep hashing for image retrieval	paper
Computer Vision	A survey on deep learning in medical image analysis	paper
Computer Vision	Advances in Adversarial Attacks and Defenses in Computer Vision: A Survey	paper
Computer Vision	Adversarial Examples on Object Recognition: A Comprehensive Survey	paper
Computer Vision	Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective	paper
Computer Vision	Affective Image Content Analysis: Two Decades Review and New Perspectives	paper
Computer Vision	Applications of Artificial Neural Networks in Microorganism Image Analysis: A Comprehensive Review from Conventional Multilayer Perceptron to Popular Convolutional Neural Network and Potential Visual Transformer	paper
Computer Vision	Bridging Gap between Image Pixels and Semantics via Supervision: A Survey	paper
Computer Vision	Compositional Scene Representation Learning via Reconstruction: A Survey	paper
Computer Vision	Deep Image Deblurring: A Survey	paper
Computer Vision	Deep Image Retrieval: A Survey	paper
Computer Vision	Deep Learning Technique for Human Parsing: A Survey and Outlook	paper
Computer Vision	Deep Learning for 3D Point Cloud Understanding: A Survey	paper
Computer Vision	Deep Learning for Embodied Vision Navigation: A Survey	paper
Computer Vision	Deep Learning for Image Super-resolution: A Survey	paper
Computer Vision	Deep Learning for Scene Classification: A Survey	paper
Computer Vision	Efficient High-Resolution Deep Learning: A Survey	paper
Computer Vision	Geometric and Learning-based Mesh Denoising: A Comprehensive Survey	paper
Computer Vision	Image Segmentation Using Deep Learning: A Survey	paper
Computer Vision	Image-to-Image Translation: Methods and Applications	paper
Computer Vision	Image/Video Deep Anomaly Detection: A Survey	paper
Computer Vision	MmWave Radar and Vision Fusion for Object Detection in Autonomous Driving: A Review	paper
Computer Vision	Multi-modal Sensor Fusion for Auto Driving Perception: A Survey	paper
Computer Vision	Recent Advances in Vision Transformer: A Survey and Outlook of Recent Work	paper
Computer Vision	Recovering 3D Human Mesh from Monocular Images: A Survey	paper
Computer Vision	Single Image Super-Resolution Methods: A Survey	paper
Computer Vision	The Elements of End-to-end Deep Face Recognition: A Survey of Recent Advances	paper
Computer Vision	The Elements of Temporal Sentence Grounding in Videos: A Survey and Future Directions	paper
Computer Vision	The Impact of Machine Learning on 2D/3D Registration for Image-Guided Interventions: A Systematic Review and Perspective	paper
Computer Vision	The Need and Status of Sea Turtle Conservation and Survey of Associated Computer Vision Advances	paper
Computer Vision	Transformers Meet Visual Learning Understanding: A Comprehensive Review	paper
Computer Vision	Transformers in Remote Sensing: A Survey	paper
Computer Vision	Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey	paper
Contrastive Learning	A Survey on Contrastive Self-supervised Learning	paper
Computer Vision	Object Detection in 20 Years (2019)	paper
Computer Vision	Threat of Adversarial Attacks on Deep Learning in Computer Vision (2018)	paper
Computer Vision	Computer Vision for Autonomous Vehicles: Problems, Datasets and SOTA (2021)	paper
Computer Vision	A Comprehensive Survey of Deep Learning for Image Captioning (2018)	paper
Computer Vision	A Survey on Instance Segmentation: State of the art	paper
Computer Vision	A Survey on Vision Transformer	paper
Computer Vision	Review of deep learning: concepts, CNN architectures, challenges, applications, future directions	paper
Computer Vision	Transformers in Vision: A Survey	paper
Contrastive Learning	Self-supervised Learning: Generative or Contrastive	paper
Curriculum Learning	A Survey on Curriculum Learning	paper
Curriculum Learning	Automatic Curriculum Learning For Deep RL: A Short Survey	paper
Curriculum Learning	Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey	paper
Curriculum Learning	Curriculum Learning: A Survey	paper
Data Augmentation	A Comprehensive Survey of Image Augmentation Techniques for Deep Learning	paper
Data Augmentation	A Comprehensive Survey to Dataset Distillation	paper
Data Augmentation	A Survey of Data Augmentation Approaches for NLP	paper
Data Augmentation	A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability	paper
Data Augmentation	A survey on Image Data Augmentation for Deep Learning	paper
Data Augmentation	An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks	paper
Data Augmentation	Data Augmentation on Graphs: A Survey	paper
Data Augmentation	Data Distillation: A Survey	paper
Data Augmentation	Data augmentation approaches in natural language processing: A survey	paper
Data Augmentation	Dataset Distillation: A Comprehensive Review	paper
Data Augmentation	Time Series Data Augmentation for Deep Learning: A Survey	paper
Deep Learning General Methods	A Survey of Deep Active Learning	paper
Deep Learning General Methods	A Survey of Deep Learning for Data Caching in Edge Network	paper
Deep Learning General Methods	A Survey of Deep Learning for Scientific Discovery	paper
Deep Learning General Methods	A Survey of Neuromorphic Computing and Neural Networks in Hardware	paper
Deep Learning General Methods	A Survey of Uncertainty in Deep Neural Networks	paper
Deep Learning General Methods	A Survey on Active Deep Learning: From Model Driven to Data Driven	paper
Deep Learning General Methods	A Survey on Concept Factorization: From Shallow to Deep Representation Learning	paper
Deep Learning General Methods	A Survey on Deep Hashing Methods	paper
Deep Learning General Methods	A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations?	paper
Deep Learning General Methods	A Survey on Network Embedding	paper
Deep Learning General Methods	A Tutorial on Network Embeddings	paper
Deep Learning General Methods	Convergence of Edge Computing and Deep Learning: A Comprehensive Survey	paper
Deep Learning General Methods	Deep Learning Theory Review: An Optimal Control and Dynamical Systems Perspective	paper
Deep Learning General Methods	Deep Learning for Matching in Search and Recommendation	paper
Deep Learning General Methods	Deep Long-Tailed Learning: A Survey	paper
Deep Learning General Methods	Deep learning	paper
Deep Learning General Methods	Dynamic Neural Networks: A Survey	paper
Deep Learning General Methods	Geometric Deep Learning: Going beyond Euclidean data	paper
Deep Learning General Methods	Heuristic design of fuzzy inference systems: A review of three decades of research	paper
Deep Learning General Methods	Imitation Learning: Progress, Taxonomies and Opportunities	paper
Deep Learning General Methods	Improving Deep Learning Models via Constraint-Based Domain Knowledge: a Brief Survey	paper
Deep Learning General Methods	Knowledge-augmented Deep Learning and Its Applications: A Survey	paper
Deep Learning General Methods	Learning from Noisy Labels with Deep Neural Networks: A Survey	paper
Deep Learning General Methods	Model Complexity of Deep Learning: A Survey	paper
Deep Learning General Methods	Network Representation Learning: A Survey	paper
Deep Learning General Methods	On Neural Differential Equations	paper
Deep Learning General Methods	Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey	paper
Deep Learning General Methods	Partial Differential Equations Meet Deep Neural Networks: A Survey	paper
Deep Learning General Methods	Relational inductive biases, deep learning, and graph networks	paper
Deep Learning General Methods	Representation Learning: A Review and New Perspectives	paper
Deep Learning General Methods	Review: Ordinary Differential Equations For Deep Learning	paper
Deep Learning General Methods	Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks	paper
Deep Learning General Methods	Survey of Expressivity in Deep Neural Networks	paper
Deep Learning General Methods	Survey of Reasoning using Neural networks	paper
Deep Learning General Methods	Survey on Large Scale Neural Network Training	paper
Deep Learning General Methods	The Deep Learning Compiler: A Comprehensive Survey	paper
Deep Learning General Methods	The Modern Mathematics of Deep Learning	paper
Deep Learning General Methods	Time Series Data Imputation: A Survey on Deep Learning Approaches	paper
Deep Learning General Methods	Time Series Forecasting With Deep Learning: A Survey	paper
Deep Learning General Methods	Tutorial on Variational Autoencoders	paper
Deep Reinforcement Learning	A Short Survey On Memory Based Reinforcement Learning	paper
Deep Reinforcement Learning	A Short Survey on Probabilistic Reinforcement Learning	paper
Deep Reinforcement Learning	A Survey of Explainable Reinforcement Learning	paper
Deep Reinforcement Learning	A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress	paper
Deep Reinforcement Learning	A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments	paper
Deep Reinforcement Learning	A Survey of Reinforcement Learning Informed by Natural Language	paper
Deep Reinforcement Learning	A Survey of Reinforcement Learning Techniques: Strategies, Recent Development, and Future Directions	paper
Deep Reinforcement Learning	A Survey of Zero-shot Generalisation in Deep Reinforcement Learning	paper
Deep Reinforcement Learning	A Survey on Deep Reinforcement Learning for Data Processing and Analytics	paper
Deep Reinforcement Learning	A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges	paper
Deep Reinforcement Learning	A Survey on Reinforcement Learning for Combinatorial Optimization	paper
Deep Reinforcement Learning	A Survey on Reinforcement Learning for Recommender Systems	paper
Deep Reinforcement Learning	A Survey on Transformers in Reinforcement Learning	paper
Deep Reinforcement Learning	A survey of benchmarking frameworks for reinforcement learning	paper
Deep Reinforcement Learning	A survey on deep reinforcement learning for audio-based applications	paper
Deep Reinforcement Learning	A survey on intrinsic motivation in reinforcement learning	paper
Deep Reinforcement Learning	Adapting Behaviour via Intrinsic Reward: A Survey and Empirical Study	paper
Deep Reinforcement Learning	Automated Reinforcement Learning (AutoRL): A Survey and Open Problems	paper
Deep Reinforcement Learning	Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics	paper
Deep Reinforcement Learning	Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey	paper
Deep Reinforcement Learning	Deep Reinforcement Learning for Autonomous Driving: A Survey	paper
Deep Reinforcement Learning	Deep Reinforcement Learning for Clinical Decision Support: A Brief Survey	paper
Deep Reinforcement Learning	Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey	paper
Deep Reinforcement Learning	Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey	paper
Deep Reinforcement Learning	Deep Reinforcement Learning in Quantitative Algorithmic Trading: A Review	paper
Deep Reinforcement Learning	Deep Reinforcement Learning: A Brief Survey	paper
Deep Reinforcement Learning	Deep Reinforcement Learning: An Overview	paper
Deep Reinforcement Learning	Derivative-Free Reinforcement Learning: A Review	paper
Deep Reinforcement Learning	Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey	paper
Deep Reinforcement Learning	Feature-based aggregation and deep reinforcement learning: a survey and some new implementations	paper
Deep Reinforcement Learning	Model-Based Deep Reinforcement Learning for High-Dimensional Problems, a Survey	paper
Deep Reinforcement Learning	Model-based Reinforcement Learning: A Survey	paper
Deep Reinforcement Learning	Reinforcement Learning for Combinatorial Optimization: A Survey	paper
Deep Reinforcement Learning	Reinforcement Learning in Healthcare: A Survey	paper
Deep Reinforcement Learning	Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey	paper
Deep Reinforcement Learning	Survey on reinforcement learning for language processing	paper
Deep Reinforcement Learning	Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning	paper
Diffusion Models	A Survey on Generative Diffusion Model	paper
Diffusion Models	Diffusion Models for Medical Image Analysis: A Comprehensive Survey	paper
Diffusion Models	Diffusion Models in NLP: A Survey	paper
Diffusion Models	Diffusion Models in Vision: A Survey	paper
Diffusion Models	Diffusion Models: A Comprehensive Survey of Methods and Applications	paper
Diffusion Models	Efficient Diffusion Models for Vision: A Survey	paper
Federated Learning	A Survey on Heterogeneous Federated Learning	paper
Federated Learning	Achieving security and privacy in federated learning systems: Survey, research challenges and future directions	paper
Federated Learning	Advances and Open Problems in Federated Learning	paper
Federated Learning	Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications	paper
Federated Learning	Federated Learning Challenges and Opportunities: An Outlook	paper
Federated Learning	Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection	paper
Federated Learning	Fusion of Federated Learning and Industrial Internet of Things: A survey	paper
Federated Learning	Privacy and Robustness in Federated Learning: Attacks and Defenses	paper
Federated Learning	Threats to Federated Learning: A Survey	paper
Few Shot And Zero Shot Learning	A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities	paper
Few Shot And Zero Shot Learning	A Survey of Zero-Shot Learning: Settings, Methods, and Applications	paper
Few Shot And Zero Shot Learning	A Survey of Zero-shot Generalisation in Deep Reinforcement Learning	paper
Few Shot And Zero Shot Learning	A Survey on Few-Shot Class-Incremental Learning	paper
Few Shot And Zero Shot Learning	A Survey on Few-Shot Learning	paper
Few Shot And Zero Shot Learning	Learning from Few Samples: A Survey	paper
Few Shot And Zero Shot Learning	Learning from Very Few Samples: A Survey	paper
General Machine Learning	A Comprehensive Survey on Outlying Aspect Mining Methods	paper
General Machine Learning	A Survey On (Stochastic Fractal Search) Algorithm	paper
General Machine Learning	A Survey of Learning Causality with Data: Problems and Methods	paper
General Machine Learning	A Survey of Learning on Small Data	paper
General Machine Learning	A Survey of Predictive Modelling under Imbalanced Distributions	paper
General Machine Learning	A Survey on Data Collection for Machine Learning: a Big Data - AI Integration Perspective	paper
General Machine Learning	A Survey on Distributed Machine Learning	paper
General Machine Learning	A Survey on Feature Weighting Based K-Means Algorithms	paper
General Machine Learning	A Survey on Large-Scale Machine Learning	paper
General Machine Learning	A Survey on Optimal Transport for Machine Learning: Theory and Applications	paper
General Machine Learning	A Survey on Resilient Machine Learning	paper
General Machine Learning	A survey and taxonomy of loss functions in machine learning	paper
General Machine Learning	A survey of adaptive resonance theory neural network models for engineering applications	paper
General Machine Learning	A survey of dimensionality reduction techniques	paper
General Machine Learning	A survey of human-in-the-loop for machine learning	paper
General Machine Learning	A survey on graph kernels	paper
General Machine Learning	Adversarial Examples in Modern Machine Learning: A Review	paper
General Machine Learning	Algorithms Inspired by Nature: A Survey	paper
General Machine Learning	An Overview of Privacy in Machine Learning	paper
General Machine Learning	Are deep learning models superior for missing data imputation in large surveys? Evidence from an empirical comparison	paper
General Machine Learning	Certification of embedded systems based on Machine Learning: A survey	paper
General Machine Learning	Data and its (dis)contents: A survey of dataset development and use in machine learning research	paper
General Machine Learning	Generating Artificial Outliers in the Absence of Genuine Ones - A Survey	paper
General Machine Learning	Hierarchical Mixtures-of-Experts for Exponential Family Regression Models with Generalized Linear Mean Functions: A Survey of Approximation and Consistency Results	paper
General Machine Learning	Hyperbox-based machine learning algorithms: a comprehensive survey	paper
General Machine Learning	Introduction to Core-sets: an Updated Survey	paper
General Machine Learning	Laplacian-Based Dimensionality Reduction Including Spectral Clustering, Laplacian Eigenmap, Locality Preserving Projection, Graph Embedding, and Diffusion Map: Tutorial and Survey	paper
General Machine Learning	Logic Locking at the Frontiers of Machine Learning: A Survey on Developments and Opportunities	paper
General Machine Learning	Machine Learning Testing: Survey, Landscapes and Horizons	paper
General Machine Learning	Machine Learning at the Network Edge: A Survey	paper
General Machine Learning	Machine Learning for Spatiotemporal Sequence Forecasting: A Survey	paper
General Machine Learning	Machine Learning in Network Centrality Measures: Tutorial and Outlook	paper
General Machine Learning	Machine Learning that Matters	paper
General Machine Learning	Machine Learning with World Knowledge: The Position and Survey	paper
General Machine Learning	Mean-Field Learning: a Survey	paper
General Machine Learning	Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey	paper
General Machine Learning	Multidimensional Scaling, Sammon Mapping, and Isomap: Tutorial and Survey	paper
General Machine Learning	Multimodal Machine Learning: A Survey and Taxonomy	paper
General Machine Learning	Rank-based Decomposable Losses in Machine Learning: A Survey	paper
General Machine Learning	Rational Kernels: A survey	paper
General Machine Learning	Statistical Queries and Statistical Algorithms: Foundations and Applications	paper
General Machine Learning	Structure Learning of Probabilistic Graphical Models: A Comprehensive Survey	paper
General Machine Learning	Survey & Experiment: Towards the Learning Accuracy	paper
General Machine Learning	Survey on Feature Selection	paper
General Machine Learning	Survey on Multi-Output Learning	paper
General Machine Learning	Survey: Machine Learning in Production Rendering	paper
General Machine Learning	The Benefits of Population Diversity in Evolutionary Algorithms: A Survey of Rigorous Runtime Analyses	paper
General Machine Learning	The Mathematics of Artificial Intelligence	paper
General Machine Learning	Towards Causal Representation Learning	paper
General Machine Learning	Towards Out-Of-Distribution Generalization: A Survey	paper
General Machine Learning	Verification for Machine Learning, Autonomy, and Neural Networks Survey	paper
General Machine Learning	What Can Knowledge Bring to Machine Learning? - A Survey of Low-shot Learning for Structured Data	paper
Generative Adversarial Networks	A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications	paper
Generative Adversarial Networks	A Survey on Deep Graph Generation: Methods and Applications	paper
Generative Adversarial Networks	A Survey on Generative Adversarial Networks: Variants, Applications, and Training	paper
Generative Adversarial Networks	Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging	paper
Generative Adversarial Networks	Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models	paper
Generative Adversarial Networks	Deep Generative Models on 3D Representations: A Survey	paper
Generative Adversarial Networks	GAN Inversion: A Survey	paper
Generative Adversarial Networks	GAN computers generate arts? A survey on visual arts, music, and literary text generation using generative adversarial network	paper
Generative Adversarial Networks	Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy	paper
Generative Adversarial Networks	Generative Adversarial Networks in Human Emotion Synthesis: A Review	paper
Generative Adversarial Networks	Generative Adversarial Networks: An Overview	paper
Generative Adversarial Networks	How Generative Adversarial Networks and Their Variants Work: An Overview	paper
Generative Adversarial Networks	Stabilizing Generative Adversarial Network Training: A Survey	paper
Graph Neural Networks	A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications	paper
Graph Neural Networks	A Comprehensive Survey of Graph-level Learning	paper
Graph Neural Networks	A Comprehensive Survey on Graph Neural Networks	paper
Graph Neural Networks	A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability	paper
Graph Neural Networks	A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metrics	paper
Graph Neural Networks	A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective	paper
Graph Neural Networks	A Survey on Graph Neural Networks for Knowledge Graph Completion	paper
Graph Neural Networks	A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources	paper
Graph Neural Networks	A Survey on The Expressive Power of Graph Neural Networks	paper
Graph Neural Networks	A Systematic Survey on Deep Generative Models for Graph Generation	paper
Graph Neural Networks	Adversarial Attack and Defense on Graph Data: A Survey	paper
Graph Neural Networks	Automated Graph Machine Learning: Approaches, Libraries and Directions	paper
Graph Neural Networks	Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks	paper
Graph Neural Networks	Computing Graph Neural Networks: A Survey from Algorithms to Accelerators	paper
Graph Neural Networks	Deep Learning on Graphs: A Survey	paper
Graph Neural Networks	Deep graph similarity learning: a survey	paper
Graph Neural Networks	Distributed Graph Neural Network Training: A Survey	paper
Graph Neural Networks	Explainability in Graph Neural Networks: A Taxonomic Survey	paper
Graph Neural Networks	Fairness in Graph Mining: A Survey	paper
Graph Neural Networks	Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications	paper
Graph Neural Networks	Federated Graph Neural Networks: Overview, Techniques and Challenges	paper
Graph Neural Networks	Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey	paper
Graph Neural Networks	Geometrically Equivariant Graph Neural Networks: A Survey	paper
Graph Neural Networks	Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art	paper
Graph Neural Networks	Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective	paper
Graph Neural Networks	Graph Neural Networks for Natural Language Processing: A Survey	paper
Graph Neural Networks	Graph Neural Networks in Recommender Systems: A Survey	paper
Graph Neural Networks	Graph Neural Networks with Generated Parameters for Relation Extraction	paper
Graph Neural Networks	Graph Neural Networks: Methods, Applications, and Opportunities	paper
Graph Neural Networks	Graph Neural Networks: Taxonomy, Advances and Trends	paper
Graph Neural Networks	Graph Representation Learning: A Survey	paper
Graph Neural Networks	Graph Self-Supervised Learning: A Survey	paper
Graph Neural Networks	Graph embedding techniques, applications, and performance: A survey	paper
Graph Neural Networks	Graph neural network for traffic forecasting: A survey	paper
Graph Neural Networks	Graph neural networks: A review of methods and applications	paper
Graph Neural Networks	Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future	paper
Graph Neural Networks	Learning Representations of Graph Data - A Survey	paper
Graph Neural Networks	Meta-Learning with Graph Neural Networks: Methods and Applications	paper
Graph Neural Networks	Representation Learning for Dynamic Graphs: A Survey	paper
Graph Neural Networks	Self-Supervised Learning of Graph Neural Networks: A Unified Review	paper
Graph Neural Networks	Spatio-Temporal Graph Neural Networks: A Survey	paper
Graph Neural Networks	Tackling Graphical NLP problems with Graph Recurrent Networks	paper
Graph Neural Networks	The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey	paper
Graph Neural Networks	Theory of Graph Neural Networks: Representation and Learning	paper
Graph Neural Networks	Trustworthy Graph Neural Networks: Aspects, Methods and Trends	paper
Interpretability And Analysis	A Survey of Methods for Explaining Black Box Models	paper
Interpretability And Analysis	A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI	paper
Interpretability And Analysis	A Survey on Knowledge integration techniques with Artificial Neural Networks for seq-2-seq/time series models	paper
Interpretability And Analysis	A Survey on Neural Network Interpretability	paper
Interpretability And Analysis	Benchmarking and Survey of Explanation Methods for Black Box Models	paper
Interpretability And Analysis	Causal Interpretability for Machine Learning - Problems, Methods and Evaluation	paper
Interpretability And Analysis	Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI	paper
Interpretability And Analysis	Explainable Artificial Intelligence Approaches: A Survey	paper
Interpretability And Analysis	Explainable Automated Fact-Checking: A Survey	paper
Interpretability And Analysis	Explainable Reinforcement Learning: A Survey	paper
Interpretability And Analysis	Explainable artificial intelligence: A survey	paper
Interpretability And Analysis	Foundations of Explainable Knowledge-Enabled Systems	paper
Interpretability And Analysis	How convolutional neural networks see the world - A survey of convolutional neural network visualization methods	paper
Interpretability And Analysis	Interpretable Machine Learning - A Brief History, State-of-the-Art and Challenges	paper
Interpretability And Analysis	Measuring "Why" in Recommender Systems: a Comprehensive Survey on the Evaluation of Explainable Recommendation	paper
Interpretability And Analysis	On Interpretability of Artificial Neural Networks	paper
Interpretability And Analysis	On the computation of counterfactual explanations - A survey	paper
Interpretability And Analysis	Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey	paper
Interpretability And Analysis	Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)	paper
Interpretability And Analysis	Survey of explainable machine learning with visual and granular methods beyond quasi-explanations	paper
Interpretability And Analysis	Understanding Neural Networks via Feature Visualization: A Survey	paper
Interpretability And Analysis	Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers	paper
Interpretability And Analysis	Visual interpretability for deep learning: a survey	paper
Interpretability And Analysis	Visualisation of Pareto Front Approximation: A Short Survey and Empirical Comparisons	paper
Interpretability And Analysis	When will the mist clear? On the Interpretability of Machine Learning for Medical Applications: a survey	paper
Interpretability And Analysis	XAI Methods for Neural Time Series Classification: A Brief Review	paper
Knowledge Distillation	A Selective Survey on Versatile Knowledge Distillation Paradigm for Neural Network Models	paper
Ml And Dl Applications	A Comprehensive Survey on Community Detection with Deep Learning	paper
Ml And Dl Applications	A Comprehensive Survey on Graph Anomaly Detection with Deep Learning	paper
Ml And Dl Applications	A Comprehensive Survey on Machine Learning Techniques and User Authentication Approaches for Credit Card Fraud Detection	paper
Ml And Dl Applications	A Survey of Deep Learning Applications to Autonomous Vehicle Control	paper
Ml And Dl Applications	A Survey of Machine Learning for Computer Architecture and Systems	paper
Ml And Dl Applications	A Survey on Deep Learning based Brain Computer Interface: Recent Advances and New Frontiers	paper
Ml And Dl Applications	A Survey on Practical Applications of Multi-Armed and Contextual Bandits	paper
Ml And Dl Applications	A Survey on Spatial and Spatiotemporal Prediction Methods	paper
Ml And Dl Applications	A Survey on Traffic Signal Control Methods	paper
Ml And Dl Applications	A Survey on the Use of AI and ML for Fighting the COVID-19 Pandemic	paper
Ml And Dl Applications	A survey of deep learning techniques for autonomous driving	paper
Ml And Dl Applications	A survey of machine learning techniques for detecting and diagnosing COVID-19 from imaging	paper
Ml And Dl Applications	A survey on anomaly detection for technical systems using LSTM networks	paper
Ml And Dl Applications	Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial	paper
Ml And Dl Applications	Classification of Pathological and Normal Gait: A Survey	paper
Ml And Dl Applications	Classification supporting COVID-19 diagnostics based on patient survey data	paper
Ml And Dl Applications	Computer Vision Methods for the Microstructural Analysis of Materials: The State-of-the-art and Future Perspectives	paper
Ml And Dl Applications	Credit card fraud detection using machine learning: A survey	paper
Ml And Dl Applications	Cross-Modality Neuroimage Synthesis: A Survey	paper
Ml And Dl Applications	DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction	paper
Ml And Dl Applications	Deep Learning for Click-Through Rate Estimation	paper
Ml And Dl Applications	Deep Learning for Spatio-Temporal Data Mining: A Survey	paper
Ml And Dl Applications	Deep Learning-based Spacecraft Relative Navigation Methods: A Survey	paper
Ml And Dl Applications	Deep learning models for predictive maintenance: a survey, comparison, challenges and prospect	paper
Ml And Dl Applications	Event Prediction in the Big Data Era: A Systematic Survey	paper
Ml And Dl Applications	Fashion Meets Computer Vision: A Survey	paper
Ml And Dl Applications	Going Deeper Into Face Detection: A Survey	paper
Ml And Dl Applications	Graph-based deep learning for communication networks: A survey	paper
Ml And Dl Applications	How Developers Iterate on Machine Learning Workflows - A Survey of the Applied Machine Learning Literature	paper
Ml And Dl Applications	Human Action Recognition From Various Data Modalities: A Review	paper
Ml And Dl Applications	Known Operator Learning and Hybrid Machine Learning in Medical Imaging - A Review of the Past, the Present, and the Future	paper
Ml And Dl Applications	Machine Learning Aided Static Malware Analysis: A Survey and Tutorial	paper
Ml And Dl Applications	Machine Learning for Cataract Classification and Grading on Ophthalmic Imaging Modalities: A Survey	paper
Ml And Dl Applications	Machine Learning for Electronic Design Automation: A Survey	paper
Ml And Dl Applications	Machine Learning for Survival Analysis: A Survey	paper
Ml And Dl Applications	Machine learning and deep learningA review for ecologists	paper
Ml And Dl Applications	Medical image segmentation with 3D convolutional neural networks: A survey	paper
Ml And Dl Applications	MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design	paper
Ml And Dl Applications	Multi-modal Sensor Fusion for Auto Driving Perception: A Survey	paper
Ml And Dl Applications	Physics-Guided Deep Learning for Dynamical Systems: A survey	paper
Ml And Dl Applications	Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications	paper
Ml And Dl Applications	Predicting the future from first person (egocentric) vision: A survey	paper
Ml And Dl Applications	Prediction of neonatal mortality in Sub-Saharan African countries using data-level linkage of multiple surveys	paper
Ml And Dl Applications	Requirement Engineering Challenges for AI-intense Systems Development	paper
Ml And Dl Applications	Short-term Traffic Prediction with Deep Neural Networks: A Survey	paper
Ml And Dl Applications	Should I Raise The Red Flag? A comprehensive survey of anomaly scoring methods toward mitigating false alarms	paper
Ml And Dl Applications	Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey	paper
Ml And Dl Applications	Towards Controllable Protein Design with Conditional Transformers	paper
Ml And Dl Applications	Transformers in Remote Sensing: A Survey	paper
Ml And Dl Applications	Transformers in Time Series: A Survey	paper
Ml And Dl Applications	Understanding racial bias in health using the Medical Expenditure Panel Survey data	paper
Ml And Dl Applications	Urban flows prediction from spatial-temporal data using machine learning: A survey	paper
Ml And Dl Applications	Using Deep Learning for Visual Decoding and Reconstruction from Brain Activity: A Review	paper
Ml And Dl Applications	Utilising Graph Machine Learning within Drug Discovery and Development	paper
Meta Learning	A Comprehensive Overview and Survey of Recent Advances in Meta-Learning	paper
Meta Learning	Meta-Learning in Neural Networks: A Survey	paper
Meta Learning	Meta-Learning: A Survey	paper
Meta Learning	Meta-learning for Few-shot Natural Language Processing: A Survey	paper
Metric Learning	A tutorial on distance metric learning: Mathematical foundations, algorithms, experimental analysis, prospects and challenges	paper
Model Compression And Acceleration	A Survey of Model Compression and Acceleration for Deep Neural Networks	paper
Model Compression And Acceleration	A Survey of Quantization Methods for Efficient Neural Network Inference	paper
Model Compression And Acceleration	A Survey on Deep Neural Network Compression: Challenges, Overview, and Solutions	paper
Model Compression And Acceleration	A Survey on GAN Acceleration Using Memory Compression Technique	paper
Model Compression And Acceleration	A Survey on Methods and Theories of Quantized Neural Networks	paper
Model Compression And Acceleration	A Survey on Model Compression for Natural Language Processing	paper
Model Compression And Acceleration	An Overview of Neural Network Compression	paper
Model Compression And Acceleration	Compression of Deep Learning Models for Text: A Survey	paper
Model Compression And Acceleration	Dimensionality Reduced Training by Pruning and Freezing Parts of a Deep Neural Network, a Survey	paper
Model Compression And Acceleration	Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better	paper
Model Compression And Acceleration	Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey	paper
Model Compression And Acceleration	Pruning and Quantization for Deep Neural Network Acceleration: A Survey	paper
Model Compression And Acceleration	Survey on Large Scale Neural Network Training	paper
Multi Label Learning	A Review on Multi-Label Learning Algorithms	paper
Multi Label Learning	Multi-Label Classification: An Overview	paper
Multi Label Learning	Multi-label learning: a review of the state of the art and ongoing research	paper
Multi Label Learning	The Emerging Trends of Multi-Label Learning	paper
Multi Task And Multi View Learning	A Survey on Multi-Task Learning	paper
Multi Task And Multi View Learning	A Survey on Multi-view Learning	paper
Multi Task And Multi View Learning	A brief review on multi-task learning	paper
Multi Task And Multi View Learning	An Overview of Multi-Task Learning in Deep Neural Networks	paper
Multi Task And Multi View Learning	An Overview of Multi-Task Learning in Deep Neural Networks	paper
Multi Task And Multi View Learning	Multi-Task Learning for Dense Prediction Tasks: A Survey	paper
Multi Task And Multi View Learning	Multi-task learning for natural language processing in the 2020s: Where are we going?	paper
Online Learning	A survey of Algorithms and Analysis for Adaptive Online Learning	paper
Online Learning	Online continual learning in image classification: An empirical survey	paper
Online Learning	Online learning: A comprehensive survey	paper
Online Learning	Preference-based Online Learning with Dueling Bandits: A Survey	paper
Optimization	A Survey of Optimization Methods from a Machine Learning Perspective	paper
Optimization	A Systematic and Meta-Analysis Survey of Whale Optimization Algorithm	paper
Optimization	An overview of gradient descent optimization algorithms	paper
Optimization	Evolutionary Multitask Optimization: a Methodological Overview, Challenges and Future Research Directions	paper
Optimization	Gradient Boosting Machine: A Survey	paper
Optimization	Investigating Bi-Level Optimization for Learning and Vision From a Unified Perspective: A Survey and Beyond	paper
Optimization	Learning Combinatorial Optimization on Graphs: A Survey With Applications to Networking	paper
Optimization	Nature-Inspired Optimization Algorithms: Research Direction and Survey	paper
Optimization	Optimization for deep learning: theory and algorithms	paper
Optimization	Optimization problems for machine learning: A survey	paper
Optimization	Particle Swarm Optimization: A Survey of Historical and Recent Developments with Hybridization Perspectives	paper
Optimization	Why Do Local Methods Solve Nonconvex Problems?	paper
Semi Supervised, Weakly Supervised And Unsupervised Learning	A Survey on Deep Semi-supervised Learning	paper
Semi Supervised, Weakly Supervised And Unsupervised Learning	A Survey on Semi-Supervised Learning Techniques	paper
Semi Supervised, Weakly Supervised And Unsupervised Learning	Deep Learning for Weakly-Supervised Object Detection and Object Localization: A Survey	paper
Semi Supervised, Weakly Supervised And Unsupervised Learning	Graph-based Semi-supervised Learning: A Comprehensive Review	paper
Semi Supervised, Weakly Supervised And Unsupervised Learning	Improvability Through Semi-Supervised Learning: A Survey of Theoretical Results	paper
Semi Supervised, Weakly Supervised And Unsupervised Learning	Learning from positive and unlabeled data: a survey	paper
Semi Supervised, Weakly Supervised And Unsupervised Learning	Robust Deep Semi-Supervised Learning: A Brief Introduction	paper
Semi Supervised, Weakly Supervised And Unsupervised Learning	Self-Supervised Learning for Recommender Systems: A Survey	paper
Semi Supervised, Weakly Supervised And Unsupervised Learning	Self-Supervised Learning for Videos: A Survey	paper
Semi Supervised, Weakly Supervised And Unsupervised Learning	Unsupervised Cross-Lingual Representation Learning	paper
Transfer Learning	A Comprehensive Survey on Transfer Learning	paper
Transfer Learning	A Survey on Deep Transfer Learning	paper
Transfer Learning	A Survey on Transfer Learning	paper
Transfer Learning	A Survey on Transfer Learning in Natural Language Processing	paper
Transfer Learning	Evolution of transfer learning in natural language processing	paper
Transfer Learning	Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer	paper
Transfer Learning	Neural Unsupervised Domain Adaptation in NLP - A Survey	paper
Transfer Learning	Source-Free Unsupervised Domain Adaptation: A Survey	paper
Transfer Learning	Transfer Adaptation Learning: A Decade Survey	paper
Transfer Learning	Transfer Learning for Reinforcement Learning Domains: A Survey	paper
Transfer Learning	Transferability in Deep Learning: A Survey	paper
Trustworthy Machine Learning	A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability	paper
Trustworthy Machine Learning	A Survey of Neural Trojan Attacks and Defenses in Deep Learning	paper
Trustworthy Machine Learning	A Survey of Privacy Attacks in Machine Learning	paper
Trustworthy Machine Learning	A Survey on Bias and Fairness in Machine Learning	paper
Trustworthy Machine Learning	Differential Privacy and Machine Learning: a Survey and Review	paper
Trustworthy Machine Learning	Fairness in Machine Learning: A Survey	paper
Trustworthy Machine Learning	Privacy in Deep Learning: A Survey	paper
Trustworthy Machine Learning	Taxonomy of Machine Learning Safety: A Survey and Primer	paper
Trustworthy Machine Learning	Technology Readiness Levels for Machine Learning Systems	paper
Trustworthy Machine Learning	The Creation and Detection of Deepfakes: A Survey	paper
Trustworthy Machine Learning	Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks	paper
Trustworthy Machine Learning	Trustworthy AI: From Principles to Practices	paper
Trustworthy Machine Learning	Trustworthy Graph Neural Networks: Aspects, Methods and Trends	paper
Trustworthy Machine Learning	Tutorial: Safe and Reliable Machine Learning	paper
Trustworthy Machine Learning	When Machine Learning Meets Privacy: A Survey and Outlook	paper
Trustworthy Machine Learning	Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning	paper

Natural Language Processing

Category	Title	Links
Computational Social Science And Social Media	A Comprehensive Survey on Community Detection with Deep Learning	paper
Computational Social Science And Social Media	A Survey of Fake News: Fundamental Theories, Detection Methods, and Opportunities	paper
Computational Social Science And Social Media	A Survey of Race, Racism, and Anti-Racism in NLP	paper
Computational Social Science And Social Media	A Survey on Computational Propaganda Detection	paper
Computational Social Science And Social Media	A Survey on Trust Prediction in Online Social Networks	paper
Computational Social Science And Social Media	Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective	paper
Computational Social Science And Social Media	From Symbols to Embeddings: A Tale of Two Representations in Computational Social Science	paper
Computational Social Science And Social Media	Language (Technology) is Power: A Critical Survey of "Bias" in NLP	paper
Computational Social Science And Social Media	Societal Biases in Language Generation: Progress and Challenges	paper
Computational Social Science And Social Media	Tackling Online Abuse: A Survey of Automated Abuse Detection Methods	paper
Computational Social Science And Social Media	When do Word Embeddings Accurately Reflect Surveys on our Beliefs About People?	paper
Dialogue And Interactive Systems	A Survey of Intent Classification and Slot-Filling Datasets for Task-Oriented Dialog	paper
Dialogue And Interactive Systems	A survey of neural models for the automatic analysis of conversation: Towards a better integration of the social sciences	paper
Dialogue And Interactive Systems	Advances in Multi-turn Dialogue Comprehension: A Survey	paper
Dialogue And Interactive Systems	Conversational Agents: Theory and Applications	paper
Dialogue And Interactive Systems	Conversational Machine Comprehension: a Literature Review	paper
Dialogue And Interactive Systems	How to Evaluate Your Dialogue Models: A Review of Approaches	paper
Dialogue And Interactive Systems	Neural Approaches to Conversational AI	paper
Dialogue And Interactive Systems	POMDP-Based Statistical Spoken Dialog Systems: A Review	paper
Dialogue And Interactive Systems	Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Survey	paper
Dialogue And Interactive Systems	Utterance-level Dialogue Understanding: An Empirical Study	paper
Generation	A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Models	paper
Generation	A Survey of Knowledge-enhanced Text Generation	paper
Generation	A Survey of Pretrained Language Models Based Text Generation	paper
Generation	A Survey on Multi-hop Question Answering and Generation	paper
Generation	A Survey on Text Simplification	paper
Generation	Automatic Detection of Machine Generated Text: A Critical Survey	paper
Generation	Automatic Story Generation: Challenges and Attempts	paper
Generation	ChatGPT is not all you need. A State of the Art Review of large Generative AI models	paper
Generation	Data-Driven Sentence Simplification: Survey and Benchmark	paper
Generation	Deep Learning for Text Style Transfer: A Survey	paper
Generation	Human Evaluation of Creative NLG Systems: An Interdisciplinary Survey on Recent Papers	paper
Generation	Keyphrase Generation: A Multi-Aspect Survey	paper
Generation	Neural Language Generation: Formulation, Methods, and Evaluation	paper
Generation	Quiz-Style Question Generation for News Stories	paper
Generation	Survey of Hallucination in Natural Language Generation	paper
Information Extraction	A Review on Fact Extraction and Verification	paper
Information Extraction	A Survey of Textual Event Extraction from Social Networks	paper
Information Extraction	A Survey of event extraction methods from text for decision support systems	paper
Information Extraction	A Survey on Open Information Extraction	paper
Information Extraction	A survey of joint intent detection and slot-filling models in natural language understanding	paper
Information Extraction	An Overview of Event Extraction from Text	paper
Information Extraction	Complex Relation Extraction: Challenges and Opportunities	paper
Information Extraction	Extracting Events and Their Relations from Texts: A Survey on Recent Research Progress and Challenges	paper
Information Extraction	Knowledge Extraction in Low-Resource Scenarios: Survey and Perspective	paper
Information Extraction	Neural relation extraction: a survey	paper
Information Extraction	No Pattern, No Recognition: a Survey about Reproducibility and Distortion Issues of Text Clustering and Topic Modeling	paper
Information Extraction	Recent Neural Methods on Slot Filling and Intent Classification for Task-Oriented Dialogue Systems: A Survey	paper
Information Extraction	Techniques for Jointly Extracting Entities and Relations: A Survey	paper
Information Retrieval And Text Mining	A Survey on Retrieval-Augmented Text Generation	paper
Information Retrieval And Text Mining	Data Mining and Information Retrieval in the 21st century: A bibliographic review	paper
Information Retrieval And Text Mining	Dense Text Retrieval based on Pretrained Language Models: A Survey	paper
Information Retrieval And Text Mining	Neural Entity Linking: A Survey of Models based on Deep Learning	paper
Information Retrieval And Text Mining	Neural Models for Information Retrieval	paper
Information Retrieval And Text Mining	Pre-training Methods in Information Retrieval	paper
Information Retrieval And Text Mining	Relational world knowledge representation in contextual language models: A review	paper
Information Retrieval And Text Mining	Short Text Topic Modeling Techniques, Applications, and Performance: A Survey	paper
Information Retrieval And Text Mining	Taking Search to Task	paper
Information Retrieval And Text Mining	Topic Modelling Meets Deep Neural Networks: A Survey	paper
Interpretability And Analysis Of Models For Nlp	A Primer in BERTology: What We Know About How BERT Works	paper
Interpretability And Analysis Of Models For Nlp	A Survey of the State of Explainable AI for Natural Language Processing	paper
Interpretability And Analysis Of Models For Nlp	A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images	paper
Interpretability And Analysis Of Models For Nlp	A Survey on Explainability in Machine Reading Comprehension	paper
Interpretability And Analysis Of Models For Nlp	Analysis Methods in Neural Language Processing: A Survey	paper
Interpretability And Analysis Of Models For Nlp	Neuron-level Interpretation of Deep NLP Models: A Survey	paper
Interpretability And Analysis Of Models For Nlp	Post-hoc Interpretability for Neural NLP: A Survey	paper
Interpretability And Analysis Of Models For Nlp	Teach Me to Explain: A Review of Datasets for Explainable NLP	paper
Interpretability And Analysis Of Models For Nlp	Which *BERT? A Survey Organizing Contextualized Encoders	paper
Knowledge Graph	A Review of Relational Machine Learning for Knowledge Graphs	paper
Knowledge Graph	A Survey of Embedding Space Alignment Methods for Language and Knowledge Graphs	paper
Knowledge Graph	A Survey on Graph Neural Networks for Knowledge Graph Completion	paper
Knowledge Graph	Introduction to neural network-based question answering over knowledge graphs	paper
Knowledge Graph	Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces	paper
Knowledge Graph	Knowledge Graphs: An Information Retrieval Perspective	paper
Knowledge Graph	Knowledge graph refinement: A survey of approaches and evaluation methods	paper
Knowledge Graph	Multi-Modal Knowledge Graph Construction and Application: A Survey	paper
Knowledge Graph	Neural, symbolic and neural-symbolic reasoning on knowledge graphs	paper
Knowledge Graph	Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications	paper
Knowledge Graph	The Contribution of Knowledge in Visiolinguistic Learning: A Survey on Tasks and Challenges	paper
Language Grounding To Vision, Robotics And Beyond	Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods	paper
Large Language Models	A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT	paper
Large Language Models	A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT	paper
Large Language Models	A Survey of Large Language Models	paper
Large Language Models	AI-Augmented Surveys: Leveraging Large Language Models for Opinion Prediction in Nationally Representative Surveys	paper
Large Language Models	Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation	paper
Large Language Models	Eight Things to Know about Large Language Models	paper
Large Language Models	Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond	paper
Large Language Models	Language Model Behavior: A Comprehensive Survey	paper
Large Language Models	Large-scale Multi-Modal Pre-trained Models: A Comprehensive Survey	paper
Large Language Models	Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey	paper
Large Language Models	Shortcut Learning of Large Language Models in Natural Language Understanding: A Survey	paper
Large Language Models	Summary of ChatGPT/GPT-4 Research and Perspective Towards the Future of Large Language Models	paper
Large Language Models	The Contribution of Knowledge in Visiolinguistic Learning: A Survey on Tasks and Challenges	paper
Large Language Models	The Science of Detecting LLM-Generated Texts	paper
Large Language Models	The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs	paper
Large Language Models	Towards Reasoning in Large Language Models: A Survey	paper
Linguistic Theories, Cognitive Modeling And Psycholinguistics	A Survey of Code-switching: Linguistic and Social Perspectives for Language Technologies	paper
Linguistic Theories, Cognitive Modeling And Psycholinguistics	Survey on the Use of Typological Information in Natural Language Processing	paper
Machine Learning For Nlp	A Comprehensive Survey on Word Representation Models: From Classical to State-of-the-Art Word Representation Language Models	paper
Machine Learning For Nlp	A Survey of Data Augmentation Approaches for NLP	paper
Machine Learning For Nlp	A Survey of the Usages of Deep Learning in Natural Language Processing	paper
Machine Learning For Nlp	A Survey on Transfer Learning in Natural Language Processing	paper
Machine Learning For Nlp	An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data	paper
Machine Learning For Nlp	Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning-Based Methods	paper
Machine Learning For Nlp	Federated Learning Meets Natural Language Processing: A Survey	paper
Machine Learning For Nlp	From Word To Sense Embeddings: A Survey on Vector Representations of Meaning	paper
Machine Learning For Nlp	Graph Neural Networks for Natural Language Processing: A Survey	paper
Machine Learning For Nlp	Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems	paper
Machine Learning For Nlp	Narrative Science Systems: A Review	paper
Machine Learning For Nlp	Symbolic, Distributed, and Distributional Representations for Natural Language Processing in the Era of Deep Learning: A Survey	paper
Machine Learning For Nlp	Token-Modification Adversarial Attacks for Natural Language Processing: A Survey	paper
Machine Translation	A Comprehensive Survey of Multilingual Neural Machine Translation	paper
Machine Translation	A Survey of Deep Learning Techniques for Neural Machine Translation	paper
Machine Translation	A Survey of Domain Adaptation for Neural Machine Translation	paper
Machine Translation	A Survey of Methods to Leverage Monolingual Data in Low-resource Neural Machine Translation	paper
Machine Translation	A Survey of Orthographic Information in Machine Translation	paper
Machine Translation	A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena	paper
Machine Translation	A Survey on Document-level Neural Machine Translation: Methods and Evaluation	paper
Machine Translation	A Survey on Low-Resource Neural Machine Translation	paper
Machine Translation	A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond	paper
Machine Translation	Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey	paper
Machine Translation	Gender Bias in Machine Translation	paper
Machine Translation	Machine Translation Approaches and Survey for Indian Languages	paper
Machine Translation	Machine Translation using Semantic Web Technologies: A Survey	paper
Machine Translation	Machine-Translation History and Evolution: Survey for Arabic-English Translations	paper
Machine Translation	Multimodal Machine Translation through Visuals and Speech	paper
Machine Translation	Neural Machine Translation and Sequence-to-sequence Models: A Tutorial	paper
Machine Translation	Neural Machine Translation for Low-Resource Languages: A Survey	paper
Machine Translation	Neural Machine Translation: A Review	paper
Machine Translation	Neural Machine Translation: Challenges, Progress and Future	paper
Machine Translation	Neural machine translation: A review of methods, resources, and tools	paper
Machine Translation	Survey of Low-Resource Machine Translation	paper
Machine Translation	The Query Translation Landscape: a Survey	paper
Nlp Applications	A Short Survey of Biomedical Relation Extraction Techniques	paper
Nlp Applications	A Survey of Learning-based Automated Program Repair	paper
Nlp Applications	A Survey on Legal Judgment Prediction: Datasets, Metrics, Models and Challenges	paper
Nlp Applications	A survey on natural language processing (NLP) and applications in insurance	paper
Nlp Applications	Android Security using NLP Techniques: A Review	paper
Nlp Applications	Disinformation Detection: A review of linguistic feature selection and classification models in news veracity assessments	paper
Nlp Applications	Extraction and Analysis of Fictional Character Networks: A Survey	paper
Nlp Applications	How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence	paper
Nlp Applications	Natural language based financial forecasting: a survey	paper
Nlp Applications	Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review	paper
Nlp Applications	SECNLP: A survey of embeddings in clinical natural language processing	paper
Nlp Applications	Survey of Natural Language Processing Techniques in Bioinformatics	paper
Nlp Applications	Survey of Text-based Epidemic Intelligence: A Computational Linguistics Perspective	paper
Nlp Applications	The Potential of Machine Learning and NLP for Handling Students' Feedback (A Short Survey)	paper
Nlp Applications	Towards Improved Model Design for Authorship Identification: A Survey on Writing Style Understanding	paper
Named Entity Recognition	A Survey of Arabic Named Entity Recognition and Classification	paper
Named Entity Recognition	A Survey of Named Entity Recognition in Assamese and other Indian Languages	paper
Named Entity Recognition	A Survey on Deep Learning for Named Entity Recognition	paper
Named Entity Recognition	A Survey on Recent Advances in Named Entity Recognition from Deep Learning models	paper
Named Entity Recognition	Design Challenges and Misconceptions in Neural Sequence Labeling	paper
Natural Language Processing	A Brief Survey and Comparative Study of Recent Development of Pronoun Coreference Resolution	paper
Natural Language Processing	A Neural Entity Coreference Resolution Review	paper
Natural Language Processing	A Review of Bangla Natural Language Processing Tasks and the Utility of Transformer Models	paper
Natural Language Processing	A Survey and Classification of Controlled Natural Languages	paper
Natural Language Processing	A Survey for In-context Learning	paper
Natural Language Processing	A Survey of Implicit Discourse Relation Recognition	paper
Natural Language Processing	A Survey on Bias and Fairness in Natural Language Processing	paper
Natural Language Processing	A Survey on Dynamic Neural Networks for Natural Language Processing	paper
Natural Language Processing	A Survey on Large-scale Machine Learning	paper
Natural Language Processing	A Survey on Model Compression for Natural Language Processing	paper
Natural Language Processing	A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios	paper
Natural Language Processing	A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directions	paper
Natural Language Processing	A bit of progress in language modeling	paper
Natural Language Processing	An Introductory Survey on Attention Mechanisms in NLP Problems	paper
Natural Language Processing	Attention in Natural Language Processing	paper
Natural Language Processing	Automatic Arabic Dialect Identification Systems for Written Texts: A Survey	paper
Natural Language Processing	Efficient Methods for Natural Language Processing: A Survey	paper
Natural Language Processing	Experience Grounds Language	paper
Natural Language Processing	How Commonsense Knowledge Helps with Natural Language Tasks: A Survey of Recent Resources and Methodologies	paper
Natural Language Processing	Jumping NLP Curves: A Review of Natural Language Processing Research [Review Article]	paper
Natural Language Processing	Meta Learning for Natural Language Processing: A Survey	paper
Natural Language Processing	Natural Language Processing - A Survey	paper
Natural Language Processing	Natural language processing: state of the art, current trends and challenges	paper
Natural Language Processing	Overview of the Transformer-based Models for NLP Tasks	paper
Natural Language Processing	Paradigm Shift in Natural Language Processing	paper
Natural Language Processing	Putting Humans in the Natural Language Processing Loop: A Survey	paper
Natural Language Processing	State-of-the-art generalisation research in NLP: a taxonomy and review	paper
Natural Language Processing	Survey on Publicly Available Sinhala Natural Language Processing Tools and Research	paper
Natural Language Processing	Word Alignment in the Era of Deep Learning: A Tutorial	paper
Pretrained Models	A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives	paper
Pretrained Models	A Review on Language Models as Knowledge Bases	paper
Pretrained Models	A Short Survey of Pre-trained Language Models for Conversational AI-A NewAge in NLP	paper
Pretrained Models	A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Models	paper
Pretrained Models	A Survey of Vision-Language Pre-Trained Models	paper
Pretrained Models	AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing	paper
Pretrained Models	Commonsense Reasoning for Conversational AI: A Survey of the State of the Art	paper
Pretrained Models	Dense Text Retrieval based on Pretrained Language Models: A Survey	paper
Pretrained Models	Pre-Trained Models: Past, Present and Future	paper
Pretrained Models	Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing	paper
Pretrained Models	Pre-trained Models for Natural Language Processing: A Survey	paper
Pretrained Models	Pre-training Methods in Information Retrieval	paper
Pretrained Models	Pretrained Language Models for Text Generation: A Survey	paper
Pretrained Models	Pretrained Transformers for Text Ranking: BERT and Beyond	paper
Pretrained Models	Survey: Transformer based video-language pre-training	paper
Pretrained Models	VLP: A Survey on Vision-language Pre-training	paper
Prompt	Is Prompt All You Need? No. A Comprehensive and Broader View of Instruction Learning	paper
Prompt	OpenPrompt: An Open-source Framework for Prompt-learning	paper
Prompt	Reasoning with Language Model Prompting: A Survey	paper
Question Answering	A Survey of Question Answering over Knowledge Base	paper
Question Answering	A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions	paper
Question Answering	A Survey on Complex Question Answering over Knowledge Base: Recent Advances and Challenges	paper
Question Answering	A Survey on Multi-hop Question Answering and Generation	paper
Question Answering	A Survey on Why-Type Question Answering Systems	paper
Question Answering	A survey on question answering technology from an information retrieval perspective	paper
Question Answering	Complex Knowledge Base Question Answering: A Survey	paper
Question Answering	Core techniques of question answering systems over knowledge bases: a survey	paper
Question Answering	Introduction to Neural Network based Approaches for Question Answering over Knowledge Graphs	paper
Question Answering	Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study	paper
Question Answering	Survey of Visual Question Answering: Datasets and Techniques	paper
Question Answering	Text-based question answering from information retrieval and deep neural network perspectives: A survey	paper
Question Answering	Tutorial on Answering Questions about Images with Deep Learning	paper
Question Answering	Visual Question Answering using Deep Learning: A Survey and Performance Analysis	paper
Reading Comprehension	A Survey on Machine Reading Comprehension Systems	paper
Reading Comprehension	A Survey on Machine Reading Comprehension: Tasks, Evaluation Metrics, and Benchmark Datasets	paper
Reading Comprehension	A Survey on Neural Machine Reading Comprehension	paper
Reading Comprehension	Machine Reading Comprehension: The Role of Contextualized Language Models and Beyond	paper
Reading Comprehension	Machine Reading Comprehension: a Literature Review	paper
Reading Comprehension	Neural Machine Reading Comprehension: Methods and Trends	paper
Recommender Systems	A Review of Dataset and Labeling Methods for Causality Extraction	paper
Recommender Systems	A Survey of Accuracy Evaluation Metrics of Recommendation Tasks	paper
Recommender Systems	A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions	paper
Recommender Systems	A Survey on Adversarial Recommender Systems: From Attack/Defense Strategies to Generative Adversarial Networks	paper
Recommender Systems	A Survey on Conversational Recommender Systems	paper
Recommender Systems	A Survey on Knowledge Graph-Based Recommender Systems	paper
Recommender Systems	A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation	paper
Recommender Systems	A Survey on Reinforcement Learning for Recommender Systems	paper
Recommender Systems	A Survey on Session-based Recommender Systems	paper
Recommender Systems	A review on deep learning for recommender systems: challenges and remedies	paper
Recommender Systems	A survey on personality-aware recommendation systems	paper
Recommender Systems	Bias and Debias in Recommender System: A Survey and Future Directions	paper
Recommender Systems	Collaborative Filtering beyond the User-Item Matrix: A Survey of the State of the Art and Future Challenges	paper
Recommender Systems	Comparison of collaborative filtering algorithms: Limitations of current techniques and proposals for scalable, high-performance recommender systems	paper
Recommender Systems	Cross Domain Recommender Systems: A Systematic Literature Review	paper
Recommender Systems	Cross-Domain Recommendation: Challenges, Progress, and Prospects	paper
Recommender Systems	Deep Learning Based Recommender System: A Survey and New Perspectives	paper
Recommender Systems	Deep Learning on Knowledge Graph for Recommender System: A Survey	paper
Recommender Systems	Deep Meta-learning in Recommendation Systems: A Survey	paper
Recommender Systems	Diversity in recommender systems - A survey	paper
Recommender Systems	Explainable Recommendation: A Survey and New Perspectives	paper
Recommender Systems	Graph Learning Approaches to Recommender Systems: A Review	paper
Recommender Systems	Graph Neural Networks in Recommender Systems: A Survey	paper
Recommender Systems	Parallel and Distributed Collaborative Filtering: A Survey	paper
Recommender Systems	Recommender systems survey	paper
Recommender Systems	Sequence-Aware Recommender Systems	paper
Recommender Systems	Social recommendation: a review	paper
Recommender Systems	Tag-Aware Recommender Systems: A State-of-the-Art Survey	paper
Recommender Systems	Use of Deep Learning in Modern Recommendation System: A Summary of Recent Works	paper
Resources And Evaluation	A Short Survey on Sense-Annotated Corpora	paper
Recommender	Recommender systems survey	paper
Recommender	Deep Learning based Recommender System: A Survey and New Perspectives	paper
Recommender	Are We Really Making Progress? An Analysis of Neural Recommendation Approaches	paper
Recommender	A Survey of Serendipity in Recommender Systems	paper
Recommender	Diversity in Recommender Systems – A survey	paper
Recommender	A Survey of Explanations in Recommender Systems	paper
Resources And Evaluation	A Survey of Current Datasets for Vision and Language Research	paper
Resources And Evaluation	A Survey of Evaluation Metrics Used for NLG Systems	paper
Resources And Evaluation	A Survey of Word Embeddings Evaluation Methods	paper
Resources And Evaluation	A Survey on Recognizing Textual Entailment as an NLP Evaluation	paper
Resources And Evaluation	Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resources	paper
Resources And Evaluation	Corpora Annotated with Negation: An Overview	paper
Resources And Evaluation	Critical Survey of the Freely Available Arabic Corpora	paper
Resources And Evaluation	Efficient Methods for Natural Language Processing: A Survey	paper
Resources And Evaluation	Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text	paper
Resources And Evaluation	Survey on Publicly Available Sinhala Natural Language Processing Tools and Research	paper
Resources And Evaluation	Survey on evaluation methods for dialogue systems	paper
Semantics	A Survey of Syntactic-Semantic Parsing Based on Constituent and Dependency Structures	paper
Semantics	A reproducible experimental survey on biomedical sentence similarity: a string-based method sets the state of the art	paper
Semantics	A reproducible survey on word embeddings and ontology-based methods for word similarity: Linear combinations outperform the state of the art	paper
Semantics	A survey of loss functions for semantic segmentation	paper
Semantics	Argument Linking: A Survey and Forecast	paper
Semantics	Corpus-Based Paraphrase Detection Experiments and Review	paper
Semantics	Diachronic word embeddings and semantic shifts: a survey	paper
Semantics	Distributional Measures of Semantic Distance: A Survey	paper
Semantics	Evolution of Semantic Similarity - A Survey	paper
Semantics	Semantic Search on Text and Knowledge Bases	paper
Semantics	Semantics, Modelling, and the Problem of Representation of Meaning --a Brief Survey of Recent Literature	paper
Semantics	Survey of Computational Approaches to Diachronic Conceptual Change	paper
Semantics	The Knowledge Acquisition Bottleneck Problem in Multilingual Word Sense Disambiguation	paper
Semantics	Word sense disambiguation: A survey	paper
Semantics	Word sense disambiguation: a survey	paper
Sentiment Analysis, Stylistic Analysis And Argument Mining	360 degree view of cross-domain opinion classification: a survey	paper
Sentiment Analysis, Stylistic Analysis And Argument Mining	A Survey On Semantic Steganography Systems	paper
Sentiment Analysis, Stylistic Analysis And Argument Mining	A Survey on Sentiment and Emotion Analysis for Computational Literary Studies	paper
Sentiment Analysis, Stylistic Analysis And Argument Mining	Automatic Sarcasm Detection: A Survey	paper
Sentiment Analysis, Stylistic Analysis And Argument Mining	Deep Learning for Aspect-Level Sentiment Classification: Survey, Vision, and Challenges	paper
Sentiment Analysis, Stylistic Analysis And Argument Mining	Deep learning for sentiment analysis: A survey	paper
Sentiment Analysis, Stylistic Analysis And Argument Mining	Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances	paper
Sentiment Analysis, Stylistic Analysis And Argument Mining	Fine-grained Financial Opinion Mining: A Survey and Research Agenda	paper
Sentiment Analysis, Stylistic Analysis And Argument Mining	Sentiment Analysis of Czech Texts: An Algorithmic Survey	paper
Sentiment Analysis, Stylistic Analysis And Argument Mining	Sentiment Analysis of Twitter Data : A Survey of Techniques	paper
Sentiment Analysis, Stylistic Analysis And Argument Mining	Sentiment Analysis on YouTube: A Brief Survey	paper
Sentiment Analysis, Stylistic Analysis And Argument Mining	Sentiment analysis for Arabic language: A brief survey of approaches and techniques	paper
Sentiment Analysis, Stylistic Analysis And Argument Mining	Sentiment/subjectivity analysis survey for languages other than English	paper
Sentiment Analysis, Stylistic Analysis And Argument Mining	Towards Argument Mining for Social Good: A Survey	paper
Sentiment Analysis, Stylistic Analysis And Argument Mining	Word Embeddings for Sentiment Analysis: A Comprehensive Empirical Survey	paper
Speech And Multimodality	A Comprehensive Survey on Cross-modal Retrieval	paper
Speech And Multimodality	A Multimodal Memes Classification: A Survey and Open Research Issues	paper
Speech And Multimodality	A Survey : Neural Networks for AMR-to-Text	paper
Speech And Multimodality	A Survey of Code-switched Speech and Language Processing	paper
Speech And Multimodality	A Survey of Deep Learning Approaches for OCR and Document Understanding	paper
Speech And Multimodality	A Survey of Recent DNN Architectures on the TIMIT Phone Recognition Task	paper
Speech And Multimodality	A Survey of Vision-Language Pre-Trained Models	paper
Speech And Multimodality	A Survey on Spoken Language Understanding: Recent Advances and New Frontiers	paper
Speech And Multimodality	A Thorough Review on Recent Deep Learning Methodologies for Image Captioning	paper
Speech And Multimodality	A survey and taxonomy of adversarial neural networks for text-to-image synthesis	paper
Speech And Multimodality	Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures (Extended Abstract)	paper
Speech And Multimodality	Automatic Speech Recognition using limited vocabulary: A survey	paper
Speech And Multimodality	Image Captioning based on Deep Learning Methods: A Survey	paper
Speech And Multimodality	Learning in Audio-visual Context: A Review, Analysis, and New Perspective	paper
Speech And Multimodality	Multimodal Intelligence: Representation Learning, Information Fusion, and Applications	paper
Speech And Multimodality	Multimodal Learning with Transformers: A Survey	paper
Speech And Multimodality	Multimodal Machine Learning: A Survey and Taxonomy	paper
Speech And Multimodality	Perspectives and Prospects on Transformer Architecture for Cross-Modal Tasks with Language and Vision	paper
Speech And Multimodality	Reasoning about Actions over Visual and Linguistic Modalities: A Survey	paper
Speech And Multimodality	Referring Expression Comprehension: A Survey of Methods and Datasets	paper
Speech And Multimodality	Survey: Transformer based video-language pre-training	paper
Speech And Multimodality	Text Detection and Recognition in the Wild: A Review	paper
Speech And Multimodality	Text Recognition in the Wild: A Survey	paper
Speech And Multimodality	Thank you for Attention: A survey on Attention-based Artificial Neural Networks for Automatic Speech Recognition	paper
Speech And Multimodality	Unsupervised Vision-Language Grammar Induction with Shared Structure Modeling	paper
Speech And Multimodality	VLP: A Survey on Vision-language Pre-training	paper
Speech And Multimodality	Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions	paper
Speech And Multimodality	Visual question answering: A survey of methods and datasets	paper
Speech And Multimodality	Visual question answering: Datasets, algorithms, and future challenges	paper
Summarization	A Survey of the State-of-the-Art Models in Neural Abstractive Text Summarization	paper
Summarization	A Survey on Cross-Lingual Summarization	paper
Summarization	A Survey on Dialogue Summarization: Recent Advances and New Frontiers	paper
Summarization	A Survey on Neural Network-Based Summarization Methods	paper
Summarization	Abstractive Meeting Summarization: A Survey	paper
Summarization	Abstractive Summarization: A Survey of the State of the Art	paper
Summarization	Automated text summarisation and evidence-based medicine: A survey of two domains	paper
Summarization	Automatic Keyword Extraction for Text Summarization: A Survey	paper
Summarization	Automatic summarization of scientific articles: A survey	paper
Summarization	From Standard Summarization to New Tasks and Beyond: Summarization with Manifold Information	paper
Summarization	How to Evaluate a Summarizer: Study Design and Statistical Analysis for Manual Linguistic Quality Evaluation	paper
Summarization	Knowledge-aware document summarization: A survey of knowledge, embedding methods and architectures	paper
Summarization	Multi-document Summarization via Deep Learning Techniques: A Survey	paper
Summarization	Neural Abstractive Text Summarization with Sequence-to-Sequence Models	paper
Summarization	Recent automatic text summarization techniques: a survey	paper
Summarization	The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey	paper
Summarization	What Have We Achieved on Text Summarization?	paper
Tagging, Chunking, Syntax And Parsing	A Survey of Syntactic-Semantic Parsing Based on Constituent and Dependency Structures	paper
Tagging, Chunking, Syntax And Parsing	A Survey on Recent Advances in Sequence Labeling from Deep Learning Models	paper
Tagging, Chunking, Syntax And Parsing	A Survey on Semantic Parsing	paper
Tagging, Chunking, Syntax And Parsing	A Survey on Semantic Parsing from the perspective of Compositionality	paper
Tagging, Chunking, Syntax And Parsing	A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directions	paper
Tagging, Chunking, Syntax And Parsing	A survey of cross-lingual features for zero-shot cross-lingual semantic parsing	paper
Tagging, Chunking, Syntax And Parsing	Context Dependent Semantic Parsing: A Survey	paper
Tagging, Chunking, Syntax And Parsing	Design Challenges and Misconceptions in Neural Sequence Labeling	paper
Tagging, Chunking, Syntax And Parsing	Sememe knowledge computation: a review of recent advances in application and expansion of sememe knowledge bases	paper
Tagging, Chunking, Syntax And Parsing	Syntax Representation in Word Embeddings and Neural Networks - A Survey	paper
Text Classification	A Survey of Active Learning for Text Classification using Deep Neural Networks	paper
Text Classification	A Survey on Data Augmentation for Text Classification	paper
Text Classification	A Survey on Natural Language Processing for Fake News Detection	paper
Text Classification	A Survey on Stance Detection for Mis- and Disinformation Identification	paper
Text Classification	A Survey on Text Classification: From Shallow to Deep Learning	paper
Text Classification	Automatic Language Identification in Texts: A Survey	paper
Text Classification	Deep Learning-based Text Classification: A Comprehensive Review	paper
Text Classification	Fake News Detection using Stance Classification: A Survey	paper
Text Classification	Semantic text classification: A survey of past and recent advances	paper
Text Classification	Text Classification Algorithms: A Survey	paper

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