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Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion

Sep 18, 2020
Tianyu Li, Roberto Calandra, Deepak Pathak, Yuandong Tian, Franziska Meier, Akshara Rai


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Learning Long-term Visual Dynamics with Region Proposal Interaction Networks

Aug 05, 2020
Haozhi Qi, Xiaolong Wang, Deepak Pathak, Yi Ma, Jitendra Malik

* Code: https://github.com/HaozhiQi/RPIN; Website: https://haozhiqi.github.io/RPIN/ 

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One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control

Jul 09, 2020
Wenlong Huang, Igor Mordatch, Deepak Pathak

* Accepted at ICML 2020. Videos and code at https://huangwl18.github.io/modular-rl/ 

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Locally Masked Convolution for Autoregressive Models

Jun 27, 2020
Ajay Jain, Pieter Abbeel, Deepak Pathak

* Published at Conference on Uncertainty in AI (UAI) 2020 

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Planning to Explore via Self-Supervised World Models

May 12, 2020
Ramanan Sekar, Oleh Rybkin, Kostas Daniilidis, Pieter Abbeel, Danijar Hafner, Deepak Pathak

* Videos and code at https://ramanans1.github.io/plan2explore/ 

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Sparse Graphical Memory for Robust Planning

Mar 13, 2020
Michael Laskin, Scott Emmons, Ajay Jain, Thanard Kurutach, Pieter Abbeel, Deepak Pathak

* Video and code at https://mishalaskin.github.io/sgm/ 

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Third-Person Visual Imitation Learning via Decoupled Hierarchical Controller

Nov 21, 2019
Pratyusha Sharma, Deepak Pathak, Abhinav Gupta

* Accepted at NeurIPS 2019. Videos at https://pathak22.github.io/hierarchical-imitation/ 

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Self-Supervised Exploration via Disagreement

Jun 10, 2019
Deepak Pathak, Dhiraj Gandhi, Abhinav Gupta

* Accepted at ICML 2019. Website at https://pathak22.github.io/exploration-by-disagreement/ 

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Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity

Feb 14, 2019
Deepak Pathak, Chris Lu, Trevor Darrell, Phillip Isola, Alexei A. Efros

* Website at https://pathak22.github.io/modular-assemblies/ 

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Toward Multimodal Image-to-Image Translation

Oct 24, 2018
Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A. Efros, Oliver Wang, Eli Shechtman

* NIPS 2017 Final paper. v4 updated acknowledgment. Website: https://junyanz.github.io/BicycleGAN/ 

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Compositional GAN: Learning Conditional Image Composition

Aug 23, 2018
Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi, Trevor Darrell


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Large-Scale Study of Curiosity-Driven Learning

Aug 13, 2018
Yuri Burda, Harri Edwards, Deepak Pathak, Amos Storkey, Trevor Darrell, Alexei A. Efros

* First three authors contributed equally and ordered alphabetically. Website at https://pathak22.github.io/large-scale-curiosity/ 

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Investigating Human Priors for Playing Video Games

Jul 25, 2018
Rachit Dubey, Pulkit Agrawal, Deepak Pathak, Thomas L. Griffiths, Alexei A. Efros

* ICML 2018 
* ICML 2018 

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Learning Instance Segmentation by Interaction

Jun 21, 2018
Deepak Pathak, Yide Shentu, Dian Chen, Pulkit Agrawal, Trevor Darrell, Sergey Levine, Jitendra Malik

* Website at https://pathak22.github.io/seg-by-interaction/ 

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Zero-Shot Visual Imitation

Apr 23, 2018
Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo, Pulkit Agrawal, Dian Chen, Yide Shentu, Evan Shelhamer, Jitendra Malik, Alexei A. Efros, Trevor Darrell

* Oral presentation at ICLR 2018. Website at https://pathak22.github.io/zeroshot-imitation/ 

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Curiosity-driven Exploration by Self-supervised Prediction

May 15, 2017
Deepak Pathak, Pulkit Agrawal, Alexei A. Efros, Trevor Darrell

* In ICML 2017. Website at https://pathak22.github.io/noreward-rl/ 

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Learning Features by Watching Objects Move

Apr 12, 2017
Deepak Pathak, Ross Girshick, Piotr Dollár, Trevor Darrell, Bharath Hariharan

* CVPR 2017 

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Context Encoders: Feature Learning by Inpainting

Nov 21, 2016
Deepak Pathak, Philipp Krahenbuhl, Jeff Donahue, Trevor Darrell, Alexei A. Efros

* CVPR 2016 
* New results on ImageNet Generation 

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Constrained Structured Regression with Convolutional Neural Networks

Nov 23, 2015
Deepak Pathak, Philipp Krähenbühl, Stella X. Yu, Trevor Darrell


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Constrained Convolutional Neural Networks for Weakly Supervised Segmentation

Oct 18, 2015
Deepak Pathak, Philipp Krähenbühl, Trevor Darrell

* 12 pages, ICCV 2015 

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Fully Convolutional Multi-Class Multiple Instance Learning

Apr 15, 2015
Deepak Pathak, Evan Shelhamer, Jonathan Long, Trevor Darrell

* in ICLR 2015 

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Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning

Dec 02, 2014
Judy Hoffman, Deepak Pathak, Trevor Darrell, Kate Saenko

* Computer Vision and Pattern Recognition (CVPR) 2015 

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