Title
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Teachable Reinforcement Learning via Advice Distillation Olivia Watkins Trevor Darrell Pieter Abbeel Jacob Andreas Abhishek Gupta OffRL 52 3 0 19 Mar 2022
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Visual analogy: Deep learning versus compositional models Nicholas Ichien Qing Liu Shuhao Fu K. Holyoak Alan Yuille Hongjing Lu CoGe 60 21 0 14 May 2021
Explanation-Based Human Debugging of NLP Models: A Survey Piyawat Lertvittayakumjorn Francesca Toni LRM 140 79 0 30 Apr 2021
Symbolic Behaviour in Artificial Intelligence Adam Santoro Andrew Kyle Lampinen Kory W. Mathewson Timothy Lillicrap David Raposo 79 34 0 05 Feb 2021
When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data Peter Hase Joey Tianyi Zhou XAI 113 89 0 03 Feb 2021
Neurosymbolic AI: The 3rd Wave Artur Garcez Luís C. Lamb NAI 107 314 0 10 Dec 2020
Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting with their Explanations Wolfgang Stammer P. Schramowski Kristian Kersting FAtt 99 112 0 25 Nov 2020
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation L. Guan Mudit Verma Sihang Guo Ruohan Zhang Subbarao Kambhampati 106 43 0 26 Jun 2020
Automatic Data Augmentation for Generalization in Deep Reinforcement Learning Roberta Raileanu M. Goldstein Denis Yarats Ilya Kostrikov Rob Fergus OffRL 56 110 0 23 Jun 2020
What shapes feature representations? Exploring datasets, architectures, and training Katherine L. Hermann Andrew Kyle Lampinen OOD 91 157 0 22 Jun 2020
Relational reasoning and generalization using non-symbolic neural networks Atticus Geiger Alexandra Carstensen Michael C. Frank Michael C. Frank Christopher Potts NAI 71 21 0 14 Jun 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 109 379 0 30 Apr 2020
Shortcut Learning in Deep Neural Networks Robert Geirhos J. Jacobsen Claudio Michaelis R. Zemel Wieland Brendel Matthias Bethge Felix Wichmann 221 2,064 0 16 Apr 2020
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence G. Marcus VLM 86 368 0 14 Feb 2020
Causally Correct Partial Models for Reinforcement Learning Danilo Jimenez Rezende Ivo Danihelka George Papamakarios Nan Rosemary Ke Ray Jiang ... Jane X. Wang Jovana Mitrović F. Besse Ioannis Antonoglou Lars Buesing AI4TS 85 34 0 07 Feb 2020
Making deep neural networks right for the right scientific reasons by interacting with their explanations P. Schramowski Wolfgang Stammer Stefano Teso Anna Brugger Xiaoting Shao Hans-Georg Luigs Anne-Katrin Mahlein Kristian Kersting 123 213 0 15 Jan 2020
Shaping Visual Representations with Language for Few-shot Classification Jesse Mu Percy Liang Noah D. Goodman VLM 75 49 0 06 Nov 2019
Stabilizing Transformers for Reinforcement Learning Emilio Parisotto H. F. Song Jack W. Rae Razvan Pascanu Çağlar Gülçehre ... Aidan Clark Seb Noury M. Botvinick N. Heess R. Hadsell OffRL 96 367 0 13 Oct 2019
Environmental drivers of systematicity and generalization in a situated agent Felix Hill Andrew Kyle Lampinen R. Schneider S. Clark M. Botvinick James L. McClelland Adam Santoro OOD 107 107 0 01 Oct 2019
Shaping Belief States with Generative Environment Models for RL Karol Gregor Danilo Jimenez Rezende F. Besse Yan Wu Hamza Merzic Aaron van den Oord OffRL AI4CE 116 119 0 21 Jun 2019
Language as an Abstraction for Hierarchical Deep Reinforcement Learning Yiding Jiang S. Gu Kevin Patrick Murphy Chelsea Finn OffRL 67 225 0 18 Jun 2019
A Survey of Reinforcement Learning Informed by Natural Language Jelena Luketina Nantas Nardelli Gregory Farquhar Jakob N. Foerster Jacob Andreas Edward Grefenstette Shimon Whiteson Tim Rocktaschel LM&Ro KELM OffRL LRM 101 282 0 10 Jun 2019
Generation of Policy-Level Explanations for Reinforcement Learning Nicholay Topin Manuela Veloso 69 75 0 28 May 2019
An Explicitly Relational Neural Network Architecture Murray Shanahan Kyriacos Nikiforou Antonia Creswell Christos Kaplanis David Barrett M. Garnelo NAI 3DV GAN 78 69 0 24 May 2019
Meta reinforcement learning as task inference Jan Humplik Alexandre Galashov Leonard Hasenclever Pedro A. Ortega Yee Whye Teh N. Heess OffRL 120 128 0 15 May 2019
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables Kate Rakelly Aurick Zhou Deirdre Quillen Chelsea Finn Sergey Levine OffRL 83 661 0 19 Mar 2019
Using Natural Language for Reward Shaping in Reinforcement Learning Prasoon Goyal S. Niekum Raymond J. Mooney LM&Ro 102 183 0 05 Mar 2019
Causal Reasoning from Meta-reinforcement Learning Ishita Dasgupta Jane X. Wang Silvia Chiappa Jovana Mitrović Pedro A. Ortega David Raposo Edward Hughes Peter W. Battaglia M. Botvinick Z. Kurth-Nelson CML LRM 63 122 0 23 Jan 2019
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 432 641 0 04 Dec 2018
Measuring abstract reasoning in neural networks David Barrett Felix Hill Adam Santoro Ari S. Morcos Timothy Lillicrap OOD 81 362 0 11 Jul 2018
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation Jianbo Chen Le Song Martin J. Wainwright Michael I. Jordan MLT FAtt 164 576 0 21 Feb 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures L. Espeholt Hubert Soyer Rémi Munos Karen Simonyan Volodymyr Mnih ... Vlad Firoiu Tim Harley Iain Dunning Shane Legg Koray Kavukcuoglu 247 1,609 0 05 Feb 2018
Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution Judea Pearl CML 73 335 0 11 Jan 2018
Learning with Latent Language Jacob Andreas Dan Klein Sergey Levine 84 136 0 01 Nov 2017
Grounded Language Learning in a Simulated 3D World Karl Moritz Hermann Felix Hill Simon Green Fumin Wang Ryan Faulkner ... Denis Teplyashin Marcus Wainwright C. Apps Demis Hassabis Phil Blunsom LM&Ro 77 306 0 20 Jun 2017
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Beating Atari with Natural Language Guided Reinforcement Learning Russell Kaplan Chris Sauer A. Sosa LM&Ro 86 69 0 18 Apr 2017
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations A. Ross M. C. Hughes Finale Doshi-Velez FAtt 136 592 0 10 Mar 2017
Reinforcement Learning with Unsupervised Auxiliary Tasks Max Jaderberg Volodymyr Mnih Wojciech M. Czarnecki Tom Schaul Joel Z Leibo David Silver Koray Kavukcuoglu SSL 117 1,229 0 16 Nov 2016
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