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Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks


Sep 21, 2021
Bohan Wu, Suraj Nair, Li Fei-Fei, Chelsea Finn

* Equal advising and contribution for last two authors 

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ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations


Sep 18, 2021
Ruohan Gao, Yen-Yu Chang, Shivani Mall, Li Fei-Fei, Jiajun Wu

* In CoRL 2021. Chang and Mall contributed equally to this work. Project page: https://ai.stanford.edu/~rhgao/objectfolder/ 

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On the Opportunities and Risks of Foundation Models


Aug 18, 2021
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri Chatterji, Annie Chen, Kathleen Creel, Jared Quincy Davis, Dora Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Kohd, Mark Krass, Ranjay Krishna, Rohith Kuditipudi, Ananya Kumar, Faisal Ladhak, Mina Lee, Tony Lee, Jure Leskovec, Isabelle Levent, Xiang Lisa Li, Xuechen Li, Tengyu Ma, Ali Malik, Christopher D. Manning, Suvir Mirchandani, Eric Mitchell, Zanele Munyikwa, Suraj Nair, Avanika Narayan, Deepak Narayanan, Ben Newman, Allen Nie, Juan Carlos Niebles, Hamed Nilforoshan, Julian Nyarko, Giray Ogut, Laurel Orr, Isabel Papadimitriou, Joon Sung Park, Chris Piech, Eva Portelance, Christopher Potts, Aditi Raghunathan, Rob Reich, Hongyu Ren, Frieda Rong, Yusuf Roohani, Camilo Ruiz, Jack Ryan, Christopher Ré, Dorsa Sadigh, Shiori Sagawa, Keshav Santhanam, Andy Shih, Krishnan Srinivasan, Alex Tamkin, Rohan Taori, Armin W. Thomas, Florian Tramèr, Rose E. Wang, William Wang, Bohan Wu, Jiajun Wu, Yuhuai Wu, Sang Michael Xie, Michihiro Yasunaga, Jiaxuan You, Matei Zaharia, Michael Zhang, Tianyi Zhang, Xikun Zhang, Yuhui Zhang, Lucia Zheng, Kaitlyn Zhou, Percy Liang

* Authored by the Center for Research on Foundation Models (CRFM) at the Stanford Institute for Human-Centered Artificial Intelligence (HAI) 

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Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration


Aug 13, 2021
Chen Wang, Claudia PĂ©rez-D'Arpino, Danfei Xu, Li Fei-Fei, C. Karen Liu, Silvio Savarese


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iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks


Aug 10, 2021
Chengshu Li, Fei Xia, Roberto MartĂ­n-MartĂ­n, Michael Lingelbach, Sanjana Srivastava, Bokui Shen, Kent Vainio, Cem Gokmen, Gokul Dharan, Tanish Jain, Andrey Kurenkov, C. Karen Liu, Hyowon Gweon, Jiajun Wu, Li Fei-Fei, Silvio Savarese

* Project website: http://svl.stanford.edu/igibson/ 

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BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments


Aug 06, 2021
Sanjana Srivastava, Chengshu Li, Michael Lingelbach, Roberto MartĂ­n-MartĂ­n, Fei Xia, Kent Vainio, Zheng Lian, Cem Gokmen, Shyamal Buch, C. Karen Liu, Silvio Savarese, Hyowon Gweon, Jiajun Wu, Li Fei-Fei


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What Matters in Learning from Offline Human Demonstrations for Robot Manipulation


Aug 06, 2021
Ajay Mandlekar, Danfei Xu, Josiah Wong, Soroush Nasiriany, Chen Wang, Rohun Kulkarni, Li Fei-Fei, Silvio Savarese, Yuke Zhu, Roberto MartĂ­n-MartĂ­n


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IGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks


Aug 06, 2021
Chengshu Li, Fei Xia, Roberto MartĂ­n-MartĂ­n, Michael Lingelbach, Sanjana Srivastava, Bokui Shen, Kent Vainio, Cem Gokmen, Gokul Dharan, Tanish Jain, Andrey Kurenkov, Karen Liu, Hyowon Gweon, Jiajun Wu, Li Fei-Fei, Silvio Savarese

* Submitted to CoRL 2021. Project website: http://svl.stanford.edu/igibson/ 

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Neural Abstructions: Abstractions that Support Construction for Grounded Language Learning


Jul 20, 2021
Kaylee Burns, Christopher D. Manning, Li Fei-Fei

* 17 pages, 10 figures 

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Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering


Jul 06, 2021
Siddharth Karamcheti, Ranjay Krishna, Li Fei-Fei, Christopher D. Manning

* Accepted at ACL-IJCNLP 2021. 17 pages, 16 Figures 

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Discovering Generalizable Skills via Automated Generation of Diverse Tasks


Jun 26, 2021
Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei

* RSS 2021 

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SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies


Jun 17, 2021
Linxi Fan, Guanzhi Wang, De-An Huang, Zhiding Yu, Li Fei-Fei, Yuke Zhu, Anima Anandkumar

* ICML 2021. Website: https://linxifan.github.io/secant-site/ 

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Physion: Evaluating Physical Prediction from Vision in Humans and Machines


Jun 17, 2021
Daniel M. Bear, Elias Wang, Damian Mrowca, Felix J. Binder, Hsiau-Yu Fish Tung, R. T. Pramod, Cameron Holdaway, Sirui Tao, Kevin Smith, Fan-Yun Sun, Li Fei-Fei, Nancy Kanwisher, Joshua B. Tenenbaum, Daniel L. K. Yamins, Judith E. Fan

* 27 pages 

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Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning


Jun 10, 2021
Liangqiong Qu, Yuyin Zhou, Paul Pu Liang, Yingda Xia, Feifei Wang, Li Fei-Fei, Ehsan Adeli, Daniel Rubin


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Metadata Normalization


May 05, 2021
Mandy Lu, Qingyu Zhao, Jiequan Zhang, Kilian M. Pohl, Li Fei-Fei, Juan Carlos Niebles, Ehsan Adeli

* Accepted to CVPR 2021. Project page: https://mml.stanford.edu/MDN/ 

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Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction


Mar 26, 2021
Bohan Wu, Suraj Nair, Roberto Martin-Martin, Li Fei-Fei, Chelsea Finn

* Equal advising and contribution for last two authors 

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A Study of Face Obfuscation in ImageNet


Mar 14, 2021
Kaiyu Yang, Jacqueline Yau, Li Fei-Fei, Jia Deng, Olga Russakovsky


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Generalization Through Hand-Eye Coordination: An Action Space for Learning Spatially-Invariant Visuomotor Control


Feb 28, 2021
Chen Wang, Rui Wang, Danfei Xu, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese

* First two authors contributed equally 

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Embodied Intelligence via Learning and Evolution


Feb 03, 2021
Agrim Gupta, Silvio Savarese, Surya Ganguli, Li Fei-Fei

* Video available at https://youtu.be/MMrIiNavkuY 

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Learning Multi-Arm Manipulation Through Collaborative Teleoperation


Dec 12, 2020
Albert Tung, Josiah Wong, Ajay Mandlekar, Roberto MartĂ­n-MartĂ­n, Yuke Zhu, Li Fei-Fei, Silvio Savarese

* First two authors contributed equally 

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Human-in-the-Loop Imitation Learning using Remote Teleoperation


Dec 12, 2020
Ajay Mandlekar, Danfei Xu, Roberto MartĂ­n-MartĂ­n, Yuke Zhu, Li Fei-Fei, Silvio Savarese


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iGibson, a Simulation Environment for Interactive Tasks in Large Realistic Scenes


Dec 08, 2020
Bokui Shen, Fei Xia, Chengshu Li, Roberto MartĂ­n-MartĂ­n, Linxi Fan, Guanzhi Wang, Shyamal Buch, Claudia D'Arpino, Sanjana Srivastava, Lyne P. Tchapmi, Micael E. Tchapmi, Kent Vainio, Li Fei-Fei, Silvio Savarese


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Deep Affordance Foresight: Planning Through What Can Be Done in the Future


Nov 17, 2020
Danfei Xu, Ajay Mandlekar, Roberto MartĂ­n-MartĂ­n, Yuke Zhu, Silvio Savarese, Li Fei-Fei


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Conceptual Metaphors Impact Perceptions of Human-AI Collaboration


Aug 05, 2020
Pranav Khadpe, Ranjay Krishna, Li Fei-Fei, Jeffrey Hancock, Michael Bernstein

* PACM HCI Volume 4 CSCW 2, 2020 
* CSCW 2020 

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Vision-based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson's Disease Motor Severity


Jul 17, 2020
Mandy Lu, Kathleen Poston, Adolf Pfefferbaum, Edith V. Sullivan, Li Fei-Fei, Kilian M. Pohl, Juan Carlos Niebles, Ehsan Adeli

* Accepted as a conference paper at MICCAI (Medical Image Computing and Computer Assisted Intervention), Lima, Peru, October 2020. 11 pages, LaTeX 

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Adaptive Procedural Task Generation for Hard-Exploration Problems


Jul 01, 2020
Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei

* 16 pages, 11 figures 

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