RobertTLange/flexible-learning-group

A curated list of papers presented in the 📖"Flexible Learning Reading Group" @ TU Berlin. Join us! 🤗

20 commits

updated Dec 17, 2020

README

'Flexible Learning' Reading Group @ TU Berlin

In this repository the different papers and presentations discussed during the "Flexible Learning" Reading Group are documented. Topics range from Deep Learning (Meta, Transfer, Continual Learning) to Systems Neuroscience (Consolidation, Plasticity, Learning). The reading group meetings happen approximately every two weeks at MAR Gebäude.

If you want to join us or are simply interested in what we read - join our mailing list here.
If you want to propose a paper for one of our next meetings - add it to our reading list here.

Date	Title	Authors	Conf.	Year	Category	Presentation	Presenter
02/12/20	'The complementary roles of dimensionality and population structure in neural computations'	Dubreuil et al.	BioArXiv	2020	RNNs	Slides	Joram Keijser
09/11/20	'Visual Transformers: Token-based Image Representation and Processing for Computer Vision'	Wu et al.	ArXiv	2020	Machine Vision	Slides	Robert Lange
11/03/20	'Skill-specific changes in cortical preparatory activity during motor learning'	Sun et al.	BioArXiv	2019	Motor Learning	Slides	Joram Keijser
19/02/20	'Limits and Potentials of Deep Learning in Robotics'	Sünderhauf et al.	ArXiv	2018	Opinion	Slides	Aravind Battaje
05/02/20	'On a Measure of Intelligence'	Chollet	ArXiv	2019	Intelligence	Slides	Heiner Spiess
22/01/20	'Deep Neuroethology of a Virtual Rodent'	Merel et al.	ICLR	2020	Neuro-DRL	Slides	Robert Lange
08/01/20	'Recurrent Independent Mechanisms'	Goyal et al.	ArXiv	2019	RNNs + Causality	Slides	Nico Roth
03/12/19	'Weight Agnostic Neural Networks'	Gaier & Ha	NeuRIPS	2019	Inductive Biases	Slides	Adrian Sieler
20/11/19	'Task Representations in Neural Networks Trained to Perform Many Cognitive Tasks'	Yang et al.	ArXiv	2019	RNNs	Slides	Filip Vercruysse
06/11/19	'Solving Rubik's Cube with a Robotic Hand'	Akkaya et al.	ArXiv	2019	Robotics	Slides	Robert Lange
23/10/19	'Machine Behaviour'	Rahwan et al.	Nature Machine Intelligence	2019	Opinion	Slides	Robert Lange
06/09/19	'New neural activity patterns emerge with long-term learning'	Oby et al.	PNAS	2019	Neuro	Slides	Joram Keijser
23/08/19	'Transferring Knowledge across Learning Processes'	Flennerhag et al.	ICLR	2018	Meta	Slides	Robert Lange
07/08/19	'Task-Driven Convolutional Recurrent Models of the Visual System'	Nayebi et al.	NIPS	2018	RNNs	Slides	Robert Lange
24/07/19	'A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms'	Bengio et al.	ArXiv	2019	Meta	Slides	Robert Lange

Contributors

RobertTLange

20 commits

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RobertTLange/flexible-learning-group

A curated list of papers presented in the 📖"Flexible Learning Reading Group" @ TU Berlin. Join us! 🤗

20 commits

updated Dec 17, 2020

See the code

README

'Flexible Learning' Reading Group @ TU Berlin

If you want to join us or are simply interested in what we read - join our mailing list here.
If you want to propose a paper for one of our next meetings - add it to our reading list here.

Date	Title	Authors	Conf.	Year	Category	Presentation	Presenter
02/12/20	'The complementary roles of dimensionality and population structure in neural computations'	Dubreuil et al.	BioArXiv	2020	RNNs	Slides	Joram Keijser
09/11/20	'Visual Transformers: Token-based Image Representation and Processing for Computer Vision'	Wu et al.	ArXiv	2020	Machine Vision	Slides	Robert Lange
11/03/20	'Skill-specific changes in cortical preparatory activity during motor learning'	Sun et al.	BioArXiv	2019	Motor Learning	Slides	Joram Keijser
19/02/20	'Limits and Potentials of Deep Learning in Robotics'	Sünderhauf et al.	ArXiv	2018	Opinion	Slides	Aravind Battaje
05/02/20	'On a Measure of Intelligence'	Chollet	ArXiv	2019	Intelligence	Slides	Heiner Spiess
22/01/20	'Deep Neuroethology of a Virtual Rodent'	Merel et al.	ICLR	2020	Neuro-DRL	Slides	Robert Lange
08/01/20	'Recurrent Independent Mechanisms'	Goyal et al.	ArXiv	2019	RNNs + Causality	Slides	Nico Roth
03/12/19	'Weight Agnostic Neural Networks'	Gaier & Ha	NeuRIPS	2019	Inductive Biases	Slides	Adrian Sieler
20/11/19	'Task Representations in Neural Networks Trained to Perform Many Cognitive Tasks'	Yang et al.	ArXiv	2019	RNNs	Slides	Filip Vercruysse
06/11/19	'Solving Rubik's Cube with a Robotic Hand'	Akkaya et al.	ArXiv	2019	Robotics	Slides	Robert Lange
23/10/19	'Machine Behaviour'	Rahwan et al.	Nature Machine Intelligence	2019	Opinion	Slides	Robert Lange
06/09/19	'New neural activity patterns emerge with long-term learning'	Oby et al.	PNAS	2019	Neuro	Slides	Joram Keijser
23/08/19	'Transferring Knowledge across Learning Processes'	Flennerhag et al.	ICLR	2018	Meta	Slides	Robert Lange
07/08/19	'Task-Driven Convolutional Recurrent Models of the Visual System'	Nayebi et al.	NIPS	2018	RNNs	Slides	Robert Lange
24/07/19	'A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms'	Bengio et al.	ArXiv	2019	Meta	Slides	Robert Lange

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