Title
Probing Emergent Semantics in Predictive Agents via Question Answering Abhishek Das Federico Carnevale Hamza Merzic Laura Rimell R. Schneider ... Alden Hung Arun Ahuja S. Clark Greg Wayne Felix Hill 58 18 0 01 Jun 2020
Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text Felix Hill Soňa Mokrá Nathaniel Wong Tim Harley LM&Ro 63 82 0 19 May 2020
Occlusion resistant learning of intuitive physics from videos Ronan Riochet Josef Sivic Ivan Laptev Emmanuel Dupoux PINN 49 6 0 30 Apr 2020
Deep Learning for Person Re-identification: A Survey and Outlook Mang Ye Jianbing Shen Gaojie Lin Tao Xiang Ling Shao Guosheng Lin 86 1,572 0 13 Jan 2020
Entity Abstraction in Visual Model-Based Reinforcement Learning Rishi Veerapaneni John D. Co-Reyes Michael Chang Michael Janner Chelsea Finn Jiajun Wu J. Tenenbaum Sergey Levine OCL OffRL 69 188 0 28 Oct 2019
CLEVRER: CoLlision Events for Video REpresentation and Reasoning Kexin Yi Yuta Saito Yunzhu Li Pushmeet Kohli Jiajun Wu Antonio Torralba J. Tenenbaum NAI 104 469 0 03 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 80 107 0 01 Oct 2019
Learning Visual Dynamics Models of Rigid Objects using Relational Inductive Biases Fabio Ferreira Lin Shao Tamim Asfour Jeannette Bohg AI4CE 22 3 0 09 Sep 2019
Unsupervised Learning of Object Keypoints for Perception and Control Tejas D. Kulkarni Ankush Gupta Catalin Ionescu Sebastian Borgeaud Malcolm Reynolds Andrew Zisserman Volodymyr Mnih SSL OCL 42 195 0 19 Jun 2019
COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration Nicholas Watters Loic Matthey Matko Bosnjak Christopher P. Burgess Alexander Lerchner OffRL 106 117 0 22 May 2019
Multi-Object Representation Learning with Iterative Variational Inference Klaus Greff Raphael Lopez Kaufman Rishabh Kabra Nicholas Watters Christopher P. Burgess Daniel Zoran Loic Matthey M. Botvinick Alexander Lerchner OCL SSL 98 509 0 01 Mar 2019
AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks J. Lyu Shuai Zhang Y. Qi Jack Xin 48 27 0 24 Jan 2019
MONet: Unsupervised Scene Decomposition and Representation Christopher P. Burgess Loic Matthey Nicholas Watters Rishabh Kabra I. Higgins M. Botvinick Alexander Lerchner OCL 81 526 0 22 Jan 2019
Reasoning About Physical Interactions with Object-Oriented Prediction and Planning Michael Janner Sergey Levine William T. Freeman J. Tenenbaum Chelsea Finn Jiajun Wu OCL 72 129 0 28 Dec 2018
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding Kexin Yi Jiajun Wu Chuang Gan Antonio Torralba Pushmeet Kohli J. Tenenbaum NAI 82 608 0 04 Oct 2018
Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers Zhen He Jian Li Daxue Liu Hangen He David Barber VOT 41 54 0 10 Sep 2018
Relational Deep Reinforcement Learning V. Zambaldi David Raposo Adam Santoro V. Bapst Yujia Li ... Victoria Langston Razvan Pascanu M. Botvinick Oriol Vinyals Peter W. Battaglia OffRL 132 220 0 05 Jun 2018
Probing Physics Knowledge Using Tools from Developmental Psychology Luis S. Piloto Ari Weinstein TB Dhruva Arun Ahuja M. Berk Mirza Greg Wayne David Amos Chia-Chun Hung M. Botvinick 58 34 0 03 Apr 2018
Learning Dynamic Memory Networks for Object Tracking Tianyu Yang Antoni B. Chan 54 284 0 20 Mar 2018
Learning Latent Permutations with Gumbel-Sinkhorn Networks Gonzalo E. Mena David Belanger Scott W. Linderman Jasper Snoek 72 270 0 23 Feb 2018
End-to-end representation learning for Correlation Filter based tracking Jack Valmadre Luca Bertinetto João F. Henriques Andrea Vedaldi Philip Torr 85 1,398 0 20 Apr 2017
Neural Map: Structured Memory for Deep Reinforcement Learning Emilio Parisotto Ruslan Salakhutdinov 71 259 0 27 Feb 2017
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 362 440 0 01 Dec 2016
Neural Combinatorial Optimization with Reinforcement Learning Irwan Bello Hieu H. Pham Quoc V. Le Mohammad Norouzi Samy Bengio 141 1,483 0 29 Nov 2016
Tagger: Deep Unsupervised Perceptual Grouping Klaus Greff Antti Rasmus Mathias Berglund T. Hao Jürgen Schmidhuber Harri Valpola OCL 65 161 0 21 Jun 2016
Learning Efficient Algorithms with Hierarchical Attentive Memory Marcin Andrychowicz Karol Kurach 48 51 0 09 Feb 2016
Pointer Networks Oriol Vinyals Meire Fortunato Navdeep Jaitly 115 3,048 0 09 Jun 2015
Neural Turing Machines Alex Graves Greg Wayne Ivo Danihelka 95 2,325 0 20 Oct 2014