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ERMAS: Becoming Robust to Reward Function Sim-to-Real Gaps in Multi-Agent Simulations

Jun 10, 2021
Eric Zhao, Alexander R. Trott, Caiming Xiong, Stephan Zheng

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Robustness Gym: Unifying the NLP Evaluation Landscape

Jan 13, 2021
Karan Goel, Nazneen Rajani, Jesse Vig, Samson Tan, Jason Wu, Stephan Zheng, Caiming Xiong, Mohit Bansal, Christopher Ré

* 34 pages, 8 figures, 6 tables 

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The Rise of AI-Driven Simulators: Building a New Crystal Ball

Dec 11, 2020
Ian Foster, David Parkes, Stephan Zheng

* A Computing Community Consortium (CCC) white paper, 4 pages 

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ESPRIT: Explaining Solutions to Physical Reasoning Tasks

May 14, 2020
Nazneen Fatema Rajani, Rui Zhang, Yi Chern Tan, Stephan Zheng, Jeremy Weiss, Aadit Vyas, Abhijit Gupta, Caiming XIong, Richard Socher, Dragomir Radev

* ACL 2020 

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The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies

Apr 28, 2020
Stephan Zheng, Alexander Trott, Sunil Srinivasa, Nikhil Naik, Melvin Gruesbeck, David C. Parkes, Richard Socher

* 46 pages, 21 figures 

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Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis

Feb 15, 2020
Jung Yeon Park, Kenneth Theo Carr, Stephan Zheng, Yisong Yue, Rose Yu

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Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards

Nov 04, 2019
Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher

* NeurIPS 2019 

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Sketch-Fill-A-R: A Persona-Grounded Chit-Chat Generation Framework

Oct 28, 2019
Michael Shum, Stephan Zheng, Wojciech Kryściński, Caiming Xiong, Richard Socher

* 10 pages, 9 tables, 4 figures 

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Learning World Graphs to Accelerate Hierarchical Reinforcement Learning

Jul 01, 2019
Wenling Shang, Alex Trott, Stephan Zheng, Caiming Xiong, Richard Socher

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On the Generalization Gap in Reparameterizable Reinforcement Learning

May 29, 2019
Huan Wang, Stephan Zheng, Caiming Xiong, Richard Socher

* Proceedings of the 36 th International Conference on Machine Learning, Long Beach, California, PMLR 97, 2019 

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NAOMI: Non-Autoregressive Multiresolution Sequence Imputation

Jan 30, 2019
Yukai Liu, Rose Yu, Stephan Zheng, Eric Zhan, Yisong Yue

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Generative Multi-Agent Behavioral Cloning

May 20, 2018
Eric Zhan, Stephan Zheng, Yisong Yue, Long Sha, Patrick Lucey

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Detecting Adversarial Examples via Neural Fingerprinting

Mar 29, 2018
Sumanth Dathathri, Stephan Zheng, Richard M. Murray, Yisong Yue

* First 2 authors contributed equally 

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Long-term Forecasting using Tensor-Train RNNs

Mar 06, 2018
Rose Yu, Stephan Zheng, Anima Anandkumar, Yisong Yue

* 14 pages including appendix, updated version 

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Multi-resolution Tensor Learning for Large-Scale Spatial Data

Feb 28, 2018
Stephan Zheng, Rose Yu, Yisong Yue

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Generating Long-term Trajectories Using Deep Hierarchical Networks

Jun 21, 2017
Stephan Zheng, Yisong Yue, Patrick Lucey

* Published in NIPS 2016 

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Improving the Robustness of Deep Neural Networks via Stability Training

Apr 15, 2016
Stephan Zheng, Yang Song, Thomas Leung, Ian Goodfellow

* Published in CVPR 2016 

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