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Fast Adaptation via Policy-Dynamics Value Functions

Jul 06, 2020
Roberta Raileanu, Max Goldstein, Arthur Szlam, Rob Fergus


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Empirically Verifying Hypotheses Using Reinforcement Learning

Jun 29, 2020
Kenneth Marino, Rob Fergus, Arthur Szlam, Abhinav Gupta


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Automatic Data Augmentation for Generalization in Deep Reinforcement Learning

Jun 23, 2020
Roberta Raileanu, Max Goldstein, Denis Yarats, Ilya Kostrikov, Rob Fergus


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Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

Apr 28, 2020
Ilya Kostrikov, Denis Yarats, Rob Fergus


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Energy-based models for atomic-resolution protein conformations

Apr 27, 2020
Yilun Du, Joshua Meier, Jerry Ma, Rob Fergus, Alexander Rives

* International Conference on Learning Representations (ICLR), 2020 
* Accepted to ICLR 2020 

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Improving Sample Efficiency in Model-Free Reinforcement Learning from Images

Oct 07, 2019
Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus


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Finding Generalizable Evidence by Learning to Convince Q&A Models

Sep 12, 2019
Ethan Perez, Siddharth Karamcheti, Rob Fergus, Jason Weston, Douwe Kiela, Kyunghyun Cho

* EMNLP 2019. Code available at https://github.com/ethanjperez/convince 

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Disentangling Video with Independent Prediction

Jan 17, 2019
William F. Whitney, Rob Fergus

* Presented at the Learning Disentangled Representations: from Perception to Control workshop at NIPS 2017 

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Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement Learning

Nov 22, 2018
Sainbayar Sukhbaatar, Emily Denton, Arthur Szlam, Rob Fergus


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IntPhys: A Framework and Benchmark for Visual Intuitive Physics Reasoning

Jun 26, 2018
Ronan Riochet, Mario Ynocente Castro, Mathieu Bernard, Adam Lerer, Rob Fergus, Véronique Izard, Emmanuel Dupoux


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Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play

Apr 27, 2018
Sainbayar Sukhbaatar, Zeming Lin, Ilya Kostrikov, Gabriel Synnaeve, Arthur Szlam, Rob Fergus

* Published in ICLR 2018 

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Modeling Others using Oneself in Multi-Agent Reinforcement Learning

Mar 23, 2018
Roberta Raileanu, Emily Denton, Arthur Szlam, Rob Fergus

* 10 pages, 16 figures, submitted to ICML 2018 

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Stochastic Video Generation with a Learned Prior

Mar 02, 2018
Emily Denton, Rob Fergus


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Composable Planning with Attributes

Mar 01, 2018
Amy Zhang, Adam Lerer, Sainbayar Sukhbaatar, Rob Fergus, Arthur Szlam


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Learning by Asking Questions

Dec 04, 2017
Ishan Misra, Ross Girshick, Rob Fergus, Martial Hebert, Abhinav Gupta, Laurens van der Maaten


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Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks

Nov 19, 2016
Emily Denton, Sam Gross, Rob Fergus


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Learning Multiagent Communication with Backpropagation

Oct 31, 2016
Sainbayar Sukhbaatar, Arthur Szlam, Rob Fergus

* Accepted to NIPS 2016 

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Learning Physical Intuition of Block Towers by Example

Mar 03, 2016
Adam Lerer, Sam Gross, Rob Fergus


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MazeBase: A Sandbox for Learning from Games

Jan 07, 2016
Sainbayar Sukhbaatar, Arthur Szlam, Gabriel Synnaeve, Soumith Chintala, Rob Fergus


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Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture

Dec 17, 2015
David Eigen, Rob Fergus


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Simple Baseline for Visual Question Answering

Dec 15, 2015
Bolei Zhou, Yuandong Tian, Sainbayar Sukhbaatar, Arthur Szlam, Rob Fergus

* One comparison method's scores are put into the correct column, and a new experiment of generating attention map is added 

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End-To-End Memory Networks

Nov 24, 2015
Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston, Rob Fergus

* Accepted to NIPS 2015 

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Learning Simple Algorithms from Examples

Nov 24, 2015
Wojciech Zaremba, Tomas Mikolov, Armand Joulin, Rob Fergus


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Deep End2End Voxel2Voxel Prediction

Nov 20, 2015
Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri


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Learning Spatiotemporal Features with 3D Convolutional Networks

Oct 07, 2015
Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri


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Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks

Jun 18, 2015
Emily Denton, Soumith Chintala, Arthur Szlam, Rob Fergus


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Improving Image Classification with Location Context

May 14, 2015
Kevin Tang, Manohar Paluri, Li Fei-Fei, Rob Fergus, Lubomir Bourdev


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Training Convolutional Networks with Noisy Labels

Apr 10, 2015
Sainbayar Sukhbaatar, Joan Bruna, Manohar Paluri, Lubomir Bourdev, Rob Fergus

* Accepted as a workshop contribution at ICLR 2015 

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Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues

Jan 30, 2015
Ning Zhang, Manohar Paluri, Yaniv Taigman, Rob Fergus, Lubomir Bourdev


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