Publications
Reinforcement Learning with Foundation Priors: Let Embodied Agent Efficiently Learn on Its Own
Conference on Robot Learning (CoRL), 2024
Weirui Ye, Yunsheng Zhang, Haoyang Weng, Xianfan Gu, Shengjie Wang, Tong Zhang, Mengchen Wang, Pieter Abbeel, Yang Gao
[arXiv] [Website]
General Flow as Foundation Affordance for Scalable Robot Learning
Conference on Robot Learning (CoRL), 2024
Chengbo Yuan, Chuan Wen, Tong Zhang, Yang Gao
[arXiv] [Website]
Leveraging Locality to Boost Sample Efficiency in Robotic Manipulation
Conference on Robot Learning (CoRL), 2024
Tong Zhang, Yingdong Hu, Jiacheng You, Yang Gao
[arXiv] [Website]
CoPa: General Robotic Manipulation through Spatial Constraints of Parts with Foundation Models
International Conference on Intelligent Robots and Systems (IROS), 2024
Haoxu Huang*, Fanqi Lin*, Yingdong Hu, Shengjie Wang, Yang Gao
[arXiv]
MQE: Unleashing the Power of Interaction with Multi-agent Quadruped Environment
International Conference on Intelligent Robots and Systems (IROS), 2024
Ziyan Xiong, Bo Chen, Shiyu Huang, Wei-Wei Tu, Zhaofeng He, Yang Gao
[arXiv]
Any-point Trajectory Modeling for Policy Learning
Robotics: Science and Systems (RSS), 2024
Chuan Wen*, Xingyu Lin*, John Ian Reyes So, Kai Chen, Qi Dou, Yang Gao, Pieter Abbeel
[arXiv]
EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data
International Conference on Machine Learning (ICML), 2024
Shengjie Wang*, Shaohuai Liu*, Weirui Ye*, Jiacheng You, Yang Gao
[PDF]
Imitation Learning from Observation with Automatic Discount Scheduling
International Conference on Learning Representations (ICLR), 2024
Yuyang Liu*, Weijun Dong*, Yingdong Hu, Chuan Wen, Zhao-Heng Yin, Chongjie Zhang, Yang Gao
[PDF]
Seer: Language Instructed Video Prediction with Latent Diffusion Models
International Conference on Learning Representations (ICLR), 2024
Xianfan Gu, Chuan Wen, Weirui Ye, Jiaming Song, Yang Gao
[PDF]
Can Transformers Capture Spatial Relations between Objects?
International Conference on Learning Representations (ICLR), 2024
Chuan Wen, Dinesh Jayaraman, Yang Gao
[PDF]
Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization
International Conference on Learning Representations (ICLR), 2024
Kun Lei, Zhengmao He, Chenhao Lu, Kaizhe Hu, Yang Gao, Huazhe Xu
[PDF]
Revisiting Disentanglement in Downstream Tasks: A Study on its Necessity for Abstract Visual Reasoning
AAAI Conference on Artificial Intelligence (AAAI), 2024
Ruiqian Nai, Zixin Wen, Ji Li, Yuanzhi Li, Yang Gao
Auto-Encoding Adversarial Imitation Learning
International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2024
Kaifeng Zhang, Rui Zhao, Ziming Zhang and Yang Gao
Efficient Exploration Using Extra Safety Budget in Constrained Policy Optimization
International Conference on Intelligent Robots and Systems (IROS), 2023
Haotian Xu, Shengjie Wang, Zhaolei Wang, Yunzhe Zhang, Qing Zhuo, Yang Gao, Tao Zhang
[arXiv]
A Universal Semantic-Geometric Representation for Robotic Manipulation
Conference on Robot Learning (CoRL), 2023
Tong Zhang*, Yingdong Hu*, Hanchen Cui, Hang Zhao, Yang Gao
[PDF]
A Policy Optimization Method Towards Optimal-time Stability
Conference on Robot Learning (CoRL), 2023
Shengjie Wang, Fengbo Lan, Xiang Zheng, Yuxue Cao, Oluwatosin Oseni, Haotian Xu, Tao Zhang, Yang Gao
[PDF]
For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal
International Conference on Machine Learning (ICML), 2023
Yingdong Hu, Renhao Wang, Li Erran Li, Yang Gao
[PDF][arXiv][website][video][code]
Policy Contrastive Imitation Learning
International Conference on Machine Learning (ICML), 2023
Jialei Huang, Zhao-Heng Yin, Yingdong Hu, Yang Gao
[PDF]
Programmatically Grounded, Compositionally Generalizable Robotic Manipulation
International Conference on Learning Representations (ICLR), 2023, Spotlight
Renhao Wang, Jiayuan Mao, Joy Hsu, Hang Zhao, Jiajun Wu, Yang Gao
[PDF][arXiv][website]
Become a Proficient Player with Limited Data through Watching Pure Videos
International Conference on Learning Representations (ICLR), 2023
Weirui Ye*, Yunsheng Zhang*, Pieter Abbeel, Yang Gao
[PDF]
Predictive Inference with Feature Conformal Prediction
International Conference on Learning Representations (ICLR), 2023
Jiaye Teng*, Chuan Wen*, Dinghuai Zhang*, Yoshua Bengio, Yang Gao, Yang Yuan
[PDF][arXiv][code]
SpeedyZero: Mastering Atari with Limited Data and Time
International Conference on Learning Representations (ICLR), 2023
Yixuan Mei, Jiaxuan Gao, Weirui Ye, Shaohuai Liu, Yang Gao†, Yi Wu†
[PDF][website]
Decision Transformer under Random Frame Dropping
International Conference on Learning Representations (ICLR), 2023
Kaizhe Hu, Ray Chen Zheng, Yang Gao, Huazhe Xu
[PDF]
USEEK: Unsupervised SE (3)-Equivariant 3D Keypoints for Generalizable Manipulation
International Conference on Robotics and Automation (ICRA), 2023
Zhengrong Xue, Zhecheng Yuan, Jiashun Wang, Xueqian Wang, Yang Gao, Huazhe Xu
[PDF]
Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination
AAAI Conference on Artificial Intelligence (AAAI), 2023
Rui Zhao, Jinming Song, Yufeng Yuan, Hu Haifeng, Yang Gao, Yi Wu, Zhongqian Sun, Yang Wei
[PDF]
An Empirical Study on Disentanglement of Negative-free Contrastive Learning
Neural Information Processing Systems (NeurIPS), 2022
Jinkun Cao, Ruiqian Nai, Qing Yang, Jialei Huang, Yang Gao
[PDF][arXiv][code]
Planning for Sample Efficient Imitation Learning
Neural Information Processing Systems (NeurIPS), 2022
Zhao-Heng Yin, Weirui Ye, Qifeng Chen, Yang Gao
[PDF][arXiv][code]
Spending Thinking Time Wisely: Accelerating MCTS with Virtual Expansions
Neural Information Processing Systems (NeurIPS), 2022
Weirui Ye, Pieter Abbeel, Yang Gao
[PDF][arXiv][code]
Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022, Spotlight
Zhecheng Yuan, Zhengrong Xue, Bo Yuan, Xueqian Wang, Yi Wu, Yang Gao, Huazhe Xu
[PDF]
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation
European Conference on Computer Vision (ECCV), 2022
Renhao Wang, Hang Zhao†, Yang Gao†
[PDF] [arXiv][website][code]
EleGANt: Exquisite and Locally Editable GAN for Makeup Transfer
European Conference on Computer Vision (ECCV), 2022
Chenyu Yang*, Wanrong He*, Yingqing Xu†, Yang Gao†
[PDF] [arXiv][code]
Semantic-Aware Fine-Grained Correspondence
European Conference on Computer Vision (ECCV), 2022, Oral
Yingdong Hu, Renhao Wang, Kaifeng Zhang, Yang Gao
[PDF] [arXiv][website][code]
Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction
European Conference on Computer Vision (ECCV), 2022
Chia-Chi Chuang*, Donglin Yang*, Chuan Wen*, Yang Gao
[PDF] [arXiv][code]
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming
International Conference on Machine Learning (ICML), 2022
Chuan Wen, Jianing Qian, Jierui Lin, Jiaye Teng, Dinesh Jayaraman, Yang Gao
[PDF][arXiv][website][video][code]
Mastering Atari Games with Limited Data
Neural Information Processing Systems (NeurIPS), 2021
Weirui Ye, Shaohuai Liu, Thanard Kurutach, Pieter Abbeel, Yang Gao
[PDF] [GitHub] [Towards Data Science Interview] [Tsinghua News (in Chinese)] [Yannic Kilcher's Explain]
Reinforcement Learning with Latent Flow
Neural Information Processing Systems (NeurIPS), 2021
Wenling Shang, Xiaofei Wang, Aravind Srinivas, Aravind Rajeswaran, Yang Gao, Pieter Abbeel, Michael Laskin
[PDF]
Keyframe-Focused Visual Imitation Learning
International Conference on Machine Learning (ICML), 2021
Chuan Wen*, Jierui Lin*, Jianing Qian, Yang Gao, Dinesh Jayaraman
[PDF] [arXiv][website][video][code]
Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation
Computer Vision and Pattern Recognition (CVPR), 2021
Xiangyu Yue*, Zangwei Zheng*, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto Sangiovanni-Vincentelli
[PDF]
Zero-shot Policy Learning with Spatial Temporal Reward Decomposition on Contingency-aware Observation
International Conference on Robotics and Automation (ICRA), 2021
Huazhe Xu*, Boyuan Chen*, Yang Gao, Trevor Darrell
[PDF] [Project Page]
Discovering Autoregressive Orderings with Variational Inference
International Conference on Learning Representations (ICLR), 2021
Xuanlin Li*, Brandon Trabucco*, Dong Huk Park, Michael Luo, Sheng Shen, Trevor Darrell, Yang Gao
[PDF]
Mutual Information State Intrinsic Control
International Conference on Learning Representations (ICLR), 2021, Spotlight
Rui Zhao, Yang Gao, Pieter Abbeel, Volker Tresp, Wei Xu
[PDF][arXiv][video][code]
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation
AAAI Conference on Artificial Intelligence (AAAI), 2021
Sicheng Zhao*, Yezhen Wang*, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer
[PDF] [arXiv]
Fighting Copycat Agents in Behavioral Cloning from Observation Histories
Neural Information Processing Systems (NeurIPS), 2020
Chuan Wen*, Jierui Lin*, Trevor Darrell, Dinesh Jayaraman, Yang Gao
[PDF] [arXiv][website][video][code]
Risk Averse Robust Adversarial Reinforcement Learning
International Conference on Robotics and Automation (ICRA), 2019
Xinlei Pan, Daniel Seita, Yang Gao, John Canny
[PDF] [Website] [arXiv]
Scoring-Aggregating-Planning: Learning Task-Agnostic Priors from Interactions and Sparse Rewards for Zero-Shot Generalization
Workshop on Generalization in Planning Workshop at AAAI, 2019
Huazhe Xu*, Boyuan Chen*, Yang Gao, Trevor Darrell
[PDF] [arXiv]
Reinforcement Learning from Imperfect Demonstrations
arXiv Preprint, 2018
Yang Gao*, Huazhe Xu*, Ji Lin, Fisher Yu, Sergey Levine, Trevor Darrell
[PDF] [arXiv]
Generalized Orderless Pooling Performs Implicit Salient Matching
International Conference on Computer Vision (ICCV), 2017
Marcel Simon, Yang Gao, Trevor Darrell, Joachim Denzler, Erik Rodner
[PDF] [arXiv] [Code]
End-to-End Learning of Driving Models from Large-Scale Video Datasets
Computer Vision and Pattern Recognition (CVPR), 2017
Huazhe Xu*, Yang Gao*, Fisher Yu, Trevor Darrell
[PDF] [Website] [arXiv]
Streaming Gibbs Sampling for LDA Model
arXiv Preprint, 2016
Yang Gao, Jianfei Chen, Jun Zhu
[PDF] [arXiv]
Deep Learning for Tactile Understanding from Visual and Haptic Data
International Conference on Robotics and Automation (ICRA), 2016
Yang Gao, Lisa Anne Hendricks, Katherine J. Kuchenbecker, Trevor Darrell
[PDF] [Website][Dataset] [arXiv]
Compact Bilinear Pooling
Computer Vision and Pattern Recognition (CVPR), 2016
Yang Gao, Oscar Beijbom, Ning Zhang, Trevor Darrell
[PDF] [arXiv] [Code]
Fine-Grained Pose Prediction, Normalization, and Recognition
International Conference on Learning Representations (ICLR), 2016
Ning Zhang, Evan Shelhamer, Yang Gao, Trevor Darrell
[PDF] [arXiv]
Deceptive Answer Prediction with User Preference Graph
Association for Computational Linguistics (ACL), 2013
Fangtao Li, Yang Gao, Shuchang Zhou, Xiance Si, Decheng Dai
[PDF]
Conference on Robot Learning (CoRL), 2024
Weirui Ye, Yunsheng Zhang, Haoyang Weng, Xianfan Gu, Shengjie Wang, Tong Zhang, Mengchen Wang, Pieter Abbeel, Yang Gao
[arXiv] [Website]
General Flow as Foundation Affordance for Scalable Robot Learning
Conference on Robot Learning (CoRL), 2024
Chengbo Yuan, Chuan Wen, Tong Zhang, Yang Gao
[arXiv] [Website]
Leveraging Locality to Boost Sample Efficiency in Robotic Manipulation
Conference on Robot Learning (CoRL), 2024
Tong Zhang, Yingdong Hu, Jiacheng You, Yang Gao
[arXiv] [Website]
CoPa: General Robotic Manipulation through Spatial Constraints of Parts with Foundation Models
International Conference on Intelligent Robots and Systems (IROS), 2024
Haoxu Huang*, Fanqi Lin*, Yingdong Hu, Shengjie Wang, Yang Gao
[arXiv]
MQE: Unleashing the Power of Interaction with Multi-agent Quadruped Environment
International Conference on Intelligent Robots and Systems (IROS), 2024
Ziyan Xiong, Bo Chen, Shiyu Huang, Wei-Wei Tu, Zhaofeng He, Yang Gao
[arXiv]
Any-point Trajectory Modeling for Policy Learning
Robotics: Science and Systems (RSS), 2024
Chuan Wen*, Xingyu Lin*, John Ian Reyes So, Kai Chen, Qi Dou, Yang Gao, Pieter Abbeel
[arXiv]
EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data
International Conference on Machine Learning (ICML), 2024
Shengjie Wang*, Shaohuai Liu*, Weirui Ye*, Jiacheng You, Yang Gao
[PDF]
Imitation Learning from Observation with Automatic Discount Scheduling
International Conference on Learning Representations (ICLR), 2024
Yuyang Liu*, Weijun Dong*, Yingdong Hu, Chuan Wen, Zhao-Heng Yin, Chongjie Zhang, Yang Gao
[PDF]
Seer: Language Instructed Video Prediction with Latent Diffusion Models
International Conference on Learning Representations (ICLR), 2024
Xianfan Gu, Chuan Wen, Weirui Ye, Jiaming Song, Yang Gao
[PDF]
Can Transformers Capture Spatial Relations between Objects?
International Conference on Learning Representations (ICLR), 2024
Chuan Wen, Dinesh Jayaraman, Yang Gao
[PDF]
Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization
International Conference on Learning Representations (ICLR), 2024
Kun Lei, Zhengmao He, Chenhao Lu, Kaizhe Hu, Yang Gao, Huazhe Xu
[PDF]
Revisiting Disentanglement in Downstream Tasks: A Study on its Necessity for Abstract Visual Reasoning
AAAI Conference on Artificial Intelligence (AAAI), 2024
Ruiqian Nai, Zixin Wen, Ji Li, Yuanzhi Li, Yang Gao
Auto-Encoding Adversarial Imitation Learning
International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2024
Kaifeng Zhang, Rui Zhao, Ziming Zhang and Yang Gao
Efficient Exploration Using Extra Safety Budget in Constrained Policy Optimization
International Conference on Intelligent Robots and Systems (IROS), 2023
Haotian Xu, Shengjie Wang, Zhaolei Wang, Yunzhe Zhang, Qing Zhuo, Yang Gao, Tao Zhang
[arXiv]
A Universal Semantic-Geometric Representation for Robotic Manipulation
Conference on Robot Learning (CoRL), 2023
Tong Zhang*, Yingdong Hu*, Hanchen Cui, Hang Zhao, Yang Gao
[PDF]
A Policy Optimization Method Towards Optimal-time Stability
Conference on Robot Learning (CoRL), 2023
Shengjie Wang, Fengbo Lan, Xiang Zheng, Yuxue Cao, Oluwatosin Oseni, Haotian Xu, Tao Zhang, Yang Gao
[PDF]
For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal
International Conference on Machine Learning (ICML), 2023
Yingdong Hu, Renhao Wang, Li Erran Li, Yang Gao
[PDF][arXiv][website][video][code]
Policy Contrastive Imitation Learning
International Conference on Machine Learning (ICML), 2023
Jialei Huang, Zhao-Heng Yin, Yingdong Hu, Yang Gao
[PDF]
Programmatically Grounded, Compositionally Generalizable Robotic Manipulation
International Conference on Learning Representations (ICLR), 2023, Spotlight
Renhao Wang, Jiayuan Mao, Joy Hsu, Hang Zhao, Jiajun Wu, Yang Gao
[PDF][arXiv][website]
Become a Proficient Player with Limited Data through Watching Pure Videos
International Conference on Learning Representations (ICLR), 2023
Weirui Ye*, Yunsheng Zhang*, Pieter Abbeel, Yang Gao
[PDF]
Predictive Inference with Feature Conformal Prediction
International Conference on Learning Representations (ICLR), 2023
Jiaye Teng*, Chuan Wen*, Dinghuai Zhang*, Yoshua Bengio, Yang Gao, Yang Yuan
[PDF][arXiv][code]
SpeedyZero: Mastering Atari with Limited Data and Time
International Conference on Learning Representations (ICLR), 2023
Yixuan Mei, Jiaxuan Gao, Weirui Ye, Shaohuai Liu, Yang Gao†, Yi Wu†
[PDF][website]
Decision Transformer under Random Frame Dropping
International Conference on Learning Representations (ICLR), 2023
Kaizhe Hu, Ray Chen Zheng, Yang Gao, Huazhe Xu
[PDF]
USEEK: Unsupervised SE (3)-Equivariant 3D Keypoints for Generalizable Manipulation
International Conference on Robotics and Automation (ICRA), 2023
Zhengrong Xue, Zhecheng Yuan, Jiashun Wang, Xueqian Wang, Yang Gao, Huazhe Xu
[PDF]
Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination
AAAI Conference on Artificial Intelligence (AAAI), 2023
Rui Zhao, Jinming Song, Yufeng Yuan, Hu Haifeng, Yang Gao, Yi Wu, Zhongqian Sun, Yang Wei
[PDF]
An Empirical Study on Disentanglement of Negative-free Contrastive Learning
Neural Information Processing Systems (NeurIPS), 2022
Jinkun Cao, Ruiqian Nai, Qing Yang, Jialei Huang, Yang Gao
[PDF][arXiv][code]
Planning for Sample Efficient Imitation Learning
Neural Information Processing Systems (NeurIPS), 2022
Zhao-Heng Yin, Weirui Ye, Qifeng Chen, Yang Gao
[PDF][arXiv][code]
Spending Thinking Time Wisely: Accelerating MCTS with Virtual Expansions
Neural Information Processing Systems (NeurIPS), 2022
Weirui Ye, Pieter Abbeel, Yang Gao
[PDF][arXiv][code]
Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022, Spotlight
Zhecheng Yuan, Zhengrong Xue, Bo Yuan, Xueqian Wang, Yi Wu, Yang Gao, Huazhe Xu
[PDF]
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation
European Conference on Computer Vision (ECCV), 2022
Renhao Wang, Hang Zhao†, Yang Gao†
[PDF] [arXiv][website][code]
EleGANt: Exquisite and Locally Editable GAN for Makeup Transfer
European Conference on Computer Vision (ECCV), 2022
Chenyu Yang*, Wanrong He*, Yingqing Xu†, Yang Gao†
[PDF] [arXiv][code]
Semantic-Aware Fine-Grained Correspondence
European Conference on Computer Vision (ECCV), 2022, Oral
Yingdong Hu, Renhao Wang, Kaifeng Zhang, Yang Gao
[PDF] [arXiv][website][code]
Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction
European Conference on Computer Vision (ECCV), 2022
Chia-Chi Chuang*, Donglin Yang*, Chuan Wen*, Yang Gao
[PDF] [arXiv][code]
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming
International Conference on Machine Learning (ICML), 2022
Chuan Wen, Jianing Qian, Jierui Lin, Jiaye Teng, Dinesh Jayaraman, Yang Gao
[PDF][arXiv][website][video][code]
Mastering Atari Games with Limited Data
Neural Information Processing Systems (NeurIPS), 2021
Weirui Ye, Shaohuai Liu, Thanard Kurutach, Pieter Abbeel, Yang Gao
[PDF] [GitHub] [Towards Data Science Interview] [Tsinghua News (in Chinese)] [Yannic Kilcher's Explain]
Reinforcement Learning with Latent Flow
Neural Information Processing Systems (NeurIPS), 2021
Wenling Shang, Xiaofei Wang, Aravind Srinivas, Aravind Rajeswaran, Yang Gao, Pieter Abbeel, Michael Laskin
[PDF]
Keyframe-Focused Visual Imitation Learning
International Conference on Machine Learning (ICML), 2021
Chuan Wen*, Jierui Lin*, Jianing Qian, Yang Gao, Dinesh Jayaraman
[PDF] [arXiv][website][video][code]
Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation
Computer Vision and Pattern Recognition (CVPR), 2021
Xiangyu Yue*, Zangwei Zheng*, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto Sangiovanni-Vincentelli
[PDF]
Zero-shot Policy Learning with Spatial Temporal Reward Decomposition on Contingency-aware Observation
International Conference on Robotics and Automation (ICRA), 2021
Huazhe Xu*, Boyuan Chen*, Yang Gao, Trevor Darrell
[PDF] [Project Page]
Discovering Autoregressive Orderings with Variational Inference
International Conference on Learning Representations (ICLR), 2021
Xuanlin Li*, Brandon Trabucco*, Dong Huk Park, Michael Luo, Sheng Shen, Trevor Darrell, Yang Gao
[PDF]
Mutual Information State Intrinsic Control
International Conference on Learning Representations (ICLR), 2021, Spotlight
Rui Zhao, Yang Gao, Pieter Abbeel, Volker Tresp, Wei Xu
[PDF][arXiv][video][code]
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation
AAAI Conference on Artificial Intelligence (AAAI), 2021
Sicheng Zhao*, Yezhen Wang*, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer
[PDF] [arXiv]
Fighting Copycat Agents in Behavioral Cloning from Observation Histories
Neural Information Processing Systems (NeurIPS), 2020
Chuan Wen*, Jierui Lin*, Trevor Darrell, Dinesh Jayaraman, Yang Gao
[PDF] [arXiv][website][video][code]
Risk Averse Robust Adversarial Reinforcement Learning
International Conference on Robotics and Automation (ICRA), 2019
Xinlei Pan, Daniel Seita, Yang Gao, John Canny
[PDF] [Website] [arXiv]
Scoring-Aggregating-Planning: Learning Task-Agnostic Priors from Interactions and Sparse Rewards for Zero-Shot Generalization
Workshop on Generalization in Planning Workshop at AAAI, 2019
Huazhe Xu*, Boyuan Chen*, Yang Gao, Trevor Darrell
[PDF] [arXiv]
Reinforcement Learning from Imperfect Demonstrations
arXiv Preprint, 2018
Yang Gao*, Huazhe Xu*, Ji Lin, Fisher Yu, Sergey Levine, Trevor Darrell
[PDF] [arXiv]
Generalized Orderless Pooling Performs Implicit Salient Matching
International Conference on Computer Vision (ICCV), 2017
Marcel Simon, Yang Gao, Trevor Darrell, Joachim Denzler, Erik Rodner
[PDF] [arXiv] [Code]
End-to-End Learning of Driving Models from Large-Scale Video Datasets
Computer Vision and Pattern Recognition (CVPR), 2017
Huazhe Xu*, Yang Gao*, Fisher Yu, Trevor Darrell
[PDF] [Website] [arXiv]
Streaming Gibbs Sampling for LDA Model
arXiv Preprint, 2016
Yang Gao, Jianfei Chen, Jun Zhu
[PDF] [arXiv]
Deep Learning for Tactile Understanding from Visual and Haptic Data
International Conference on Robotics and Automation (ICRA), 2016
Yang Gao, Lisa Anne Hendricks, Katherine J. Kuchenbecker, Trevor Darrell
[PDF] [Website][Dataset] [arXiv]
Compact Bilinear Pooling
Computer Vision and Pattern Recognition (CVPR), 2016
Yang Gao, Oscar Beijbom, Ning Zhang, Trevor Darrell
[PDF] [arXiv] [Code]
Fine-Grained Pose Prediction, Normalization, and Recognition
International Conference on Learning Representations (ICLR), 2016
Ning Zhang, Evan Shelhamer, Yang Gao, Trevor Darrell
[PDF] [arXiv]
Deceptive Answer Prediction with User Preference Graph
Association for Computational Linguistics (ACL), 2013
Fangtao Li, Yang Gao, Shuchang Zhou, Xiance Si, Decheng Dai
[PDF]