Title
Bhatt Conjectures: On Necessary-But-Not-Sufficient Benchmark Tautology for Human Like Reasoning Manish Bhatt LRM 18 0 0 13 Jun 2025
Systems with Switching Causal Relations: A Meta-Causal Perspective Moritz Willig Tim Nelson Tobiasch Florian Peter Busch Jonas Seng Devendra Singh Dhami Kristian Kersting CML 147 0 0 16 Oct 2024
Counterfactual Influence in Markov Decision Processes Milad Kazemi Jessica Lally Ekaterina Tishchenko Hana Chockler Nicola Paoletti 96 1 0 13 Feb 2024
Q-Cogni: An Integrated Causal Reinforcement Learning Framework C. Cunha Wen Liu T. French Ajmal Mian 71 1 0 26 Feb 2023
Beyond Object Recognition: A New Benchmark towards Object Concept Learning Yong-Lu Li Yue Xu Xinyu Xu Xiaohan Mao Yuan Yao Siqi Liu Cewu Lu OCL 148 9 0 06 Dec 2022
A Short Survey of Systematic Generalization Yuanpeng Li AI4CE 100 1 0 22 Nov 2022
Intelligent Computing: The Latest Advances, Challenges and Future Shiqiang Zhu Ting Yu Tao Xu Hongyang Chen Schahram Dustdar ... Tariq S. Durrani Huaimin Wang Jiangxing Wu Tongyi Zhang Yunhe Pan AI4CE 87 130 0 21 Nov 2022
Using Contrastive Samples for Identifying and Leveraging Possible Causal Relationships in Reinforcement Learning H. Khadilkar Hardik Meisheri OffRL 61 1 0 28 Oct 2022
Causal Coupled Mechanisms: A Control Method with Cooperation and Competition for Complex System Xuehui Yu Jingchi Jiang Xinmiao Yu Yi Guan Xue Li 35 0 0 15 Sep 2022
On a Built-in Conflict between Deep Learning and Systematic Generalization Yuanpeng Li OOD 67 0 0 24 Aug 2022
A Meta-Reinforcement Learning Algorithm for Causal Discovery Andreas Sauter Erman Acar Vincent François-Lavet CML 108 19 0 18 Jul 2022
Using cognitive psychology to understand GPT-3 Marcel Binz Eric Schulz ELM LLMAG 351 491 0 21 Jun 2022
On the Generalization and Adaption Performance of Causal Models Nino Scherrer Anirudh Goyal Stefan Bauer Yoshua Bengio Nan Rosemary Ke CML OOD BDL TTA 87 8 0 09 Jun 2022
Active learning of causal probability trees Tue Herlau CML 138 0 0 17 May 2022
Counterfactual harm Jonathan G. Richens R. Beard Daniel H. Thompson 108 29 0 27 Apr 2022
Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning Sreejan Kumar Ishita Dasgupta Nathaniel D. Daw Jonathan Cohen Thomas Griffiths 80 10 0 04 Apr 2022
Learning Causal Overhypotheses through Exploration in Children and Computational Models Eliza Kosoy Adrian Liu Jasmine Collins David M. Chan Jessica B. Hamrick Nan Rosemary Ke Sandy H Huang Bryanna Kaufmann John F. Canny Alison Gopnik CML 79 9 0 21 Feb 2022
Tell me why! Explanations support learning relational and causal structure Andrew Kyle Lampinen Nicholas A. Roy Ishita Dasgupta Stephanie C. Y. Chan Allison C. Tam ... Chen Yan Adam Santoro Neil C. Rabinowitz Jane X. Wang Felix Hill 143 46 0 07 Dec 2021
A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions Xiaocong Chen L. Yao Julian McAuley Guanglin Zhou Xianzhi Wang AI4TS 79 62 0 08 Sep 2021
Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning Pedro Tsividis J. Loula Jake Burga Nathan Foss Andres Campero Thomas Pouncy S. Gershman J. Tenenbaum LM&Ro 59 48 0 27 Jul 2021
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning Nan Rosemary Ke Aniket Didolkar Sarthak Mittal Anirudh Goyal Guillaume Lajoie Stefan Bauer Danilo Jimenez Rezende Yoshua Bengio Michael C. Mozer C. Pal CML 90 57 0 02 Jul 2021
Did I do that? Blame as a means to identify controlled effects in reinforcement learning Oriol Corcoll Youssef Mohamed Raul Vicente 58 3 0 01 Jun 2021
Towards Causal Representation Learning Bernhard Schölkopf Francesco Locatello Stefan Bauer Nan Rosemary Ke Nal Kalchbrenner Anirudh Goyal Yoshua Bengio OOD CML AI4CE 160 323 0 22 Feb 2021
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models Matej Zečević Devendra Singh Dhami Athresh Karanam S. Natarajan Kristian Kersting CML TPM 117 33 0 20 Feb 2021
Inductive Biases for Deep Learning of Higher-Level Cognition Anirudh Goyal Yoshua Bengio AI4CE 120 366 0 30 Nov 2020
Algorithms for Causal Reasoning in Probability Trees Tim Genewein Tom McGrath Grégoire Delétang Vladimir Mikulik Miljan Martic Shane Legg Pedro A. Ortega TPM CML 55 16 0 23 Oct 2020
Meta-Learning of Structured Task Distributions in Humans and Machines Sreejan Kumar Ishita Dasgupta Jonathan Cohen Nathaniel D. Daw Thomas Griffiths OffRL 72 2 0 05 Oct 2020
Disentangling causal effects for hierarchical reinforcement learning Oriol Corcoll Raul Vicente CML 79 9 0 03 Oct 2020
Amortized learning of neural causal representations Nan Rosemary Ke Jane X. Wang Jovana Mitrović M. Szummer Danilo Jimenez Rezende CML BDL 101 17 0 21 Aug 2020
Artificial Intelligence is stupid and causal reasoning won't fix it J. Bishop CML LRM 48 82 0 20 Jul 2020
Deep Reinforcement Learning and its Neuroscientific Implications M. Botvinick Jane X. Wang Will Dabney Kevin J. Miller Z. Kurth-Nelson OffRL AI4CE 97 176 0 07 Jul 2020
Group Equivariant Deep Reinforcement Learning Arnab Kumar Mondal Pratheeksha Nair Kaleem Siddiqi 61 33 0 01 Jul 2020
Empirically Verifying Hypotheses Using Reinforcement Learning Kenneth Marino Rob Fergus Arthur Szlam Abhinav Gupta OffRL 37 1 0 29 Jun 2020
Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning Anoopkumar Sonar Vincent Pacelli Anirudha Majumdar 115 54 0 01 Jun 2020
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning Huimin Peng VLM OffRL 121 35 0 17 Apr 2020
Visual Commonsense R-CNN Tan Wang Jianqiang Huang Hanwang Zhang Qianru Sun SSL ObjD CML 86 252 0 27 Feb 2020
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication) Marek Rosa O. Afanasjeva Simon Andersson Joseph Davidson N. Guttenberg Petr Hlubucek Martin Poliak Jaroslav Vítků Jan Feyereisl 80 10 0 03 Dec 2019
Causality for Machine Learning Bernhard Schölkopf CML AI4CE LRM 124 466 0 24 Nov 2019
Causal Induction from Visual Observations for Goal Directed Tasks Sunjay Cauligi Yuke Zhu D. Stefan Tamara Rezk CML LRM 89 65 0 03 Oct 2019
Learning Neural Causal Models from Unknown Interventions Nan Rosemary Ke O. Bilaniuk Anirudh Goyal Stefan Bauer Hugo Larochelle Bernhard Schölkopf Michael C. Mozer C. Pal Yoshua Bengio CML OOD 119 170 0 02 Oct 2019
Meta-learning of Sequential Strategies Pedro A. Ortega Jane X. Wang Mark Rowland Tim Genewein Z. Kurth-Nelson ... Yee Whye Teh H. V. Hasselt Nando de Freitas M. Botvinick Shane Legg OffRL 123 101 0 08 May 2019
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms Yoshua Bengio T. Deleu Nasim Rahaman Nan Rosemary Ke Sébastien Lachapelle O. Bilaniuk Anirudh Goyal C. Pal CML OOD 146 335 0 30 Jan 2019