Multi-Agent Collaboration via Reward Attribution Decomposition

Oct 16, 2020
Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian

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MMGSD: Multi-Modal Gaussian Shape Descriptors for Correspondence Matching in 1D and 2D Deformable Objects

Oct 09, 2020
Aditya Ganapathi, Priya Sundaresan, Brijen Thananjeyan, Ashwin Balakrishna, Daniel Seita, Ryan Hoque, Joseph E. Gonzalez, Ken Goldberg

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* IROS 2020 Workshop on Managing Deformation: A Step Towards Higher Robot Autonomy 

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Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting

Oct 04, 2020
Sayna Ebrahimi, Suzanne Petryk, Akash Gokul, William Gan, Joseph E. Gonzalez, Marcus Rohrbach, Trevor Darrell

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A Review of Single-Source Deep Unsupervised Visual Domain Adaptation

Sep 19, 2020
Sicheng Zhao, Xiangyu Yue, Shanghang Zhang, Bo Li, Han Zhao, Bichen Wu, Ravi Krishna, Joseph E. Gonzalez, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, Kurt Keutzer

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Benchmarking Semi-supervised Federated Learning

Aug 26, 2020
Zhengming Zhang, Zhewei Yao, Yaoqing Yang, Yujun Yan, Joseph E. Gonzalez, Michael W. Mahoney

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Boundary thickness and robustness in learning models

Jul 09, 2020
Yaoqing Yang, Rajiv Khanna, Yaodong Yu, Amir Gholami, Kurt Keutzer, Joseph E. Gonzalez, Kannan Ramchandran, Michael W. Mahoney

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Contrastive Code Representation Learning

Jul 09, 2020
Paras Jain, Ajay Jain, Tianjun Zhang, Pieter Abbeel, Joseph E. Gonzalez, Ion Stoica

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BEV-Seg: Bird's Eye View Semantic Segmentation Using Geometry and Semantic Point Cloud

Jun 23, 2020
Mong H. Ng, Kaahan Radia, Jianfei Chen, Dequan Wang, Ionel Gog, Joseph E. Gonzalez

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* Accepted into CVPR 2020 Workshop Scalability in Autonomous Driving by Waymo 

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Ansor : Generating High-Performance Tensor Programs for Deep Learning

Jun 15, 2020
Lianmin Zheng, Chengfan Jia, Minmin Sun, Zhao Wu, Cody Hao Yu, Ameer Haj-Ali, Yida Wang, Jun Yang, Danyang Zhuo, Koushik Sen, Joseph E. Gonzalez, Ion Stoica

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SegNBDT: Visual Decision Rules for Segmentation

Jun 11, 2020
Alvin Wan, Daniel Ho, Younjin Song, Henk Tillman, Sarah Adel Bargal, Joseph E. Gonzalez

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* 8 pages, 8 figures 

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FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function

Jun 07, 2020
Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Bichen Wu, Zijian He, Zhen Wei, Kan Chen, Yuandong Tian, Matthew Yu, Peter Vajda, Joseph E. Gonzalez

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Thompson Sampling for Linearly Constrained Bandits

May 12, 2020
Vidit Saxena, Joseph E. Gonzalez, Joakim Jaldén

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* 10 pages, 2 figures, updated version of paper accepted at AISTATS2020 

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Mechanism Design with Bandit Feedback

Apr 19, 2020
Kirthevasan Kandasamy, Joseph E. Gonzalez, Michael I. Jordan, Ion Stoica

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FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions

Apr 12, 2020
Alvin Wan, Xiaoliang Dai, Peizhao Zhang, Zijian He, Yuandong Tian, Saining Xie, Bichen Wu, Matthew Yu, Tao Xu, Kan Chen, Peter Vajda, Joseph E. Gonzalez

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* 8 pages, 10 figures, accepted to CVPR 2020 

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NBDT: Neural-Backed Decision Trees

Apr 01, 2020
Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Henry Jin, Suzanne Petryk, Sarah Adel Bargal, Joseph E. Gonzalez

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* 14 pages, 9 figures 

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Learning to Smooth and Fold Real Fabric Using Dense Object Descriptors Trained on Synthetic Color Images

Mar 28, 2020
Aditya Ganapathi, Priya Sundaresan, Brijen Thananjeyan, Ashwin Balakrishna, Daniel Seita, Jennifer Grannen, Minho Hwang, Ryan Hoque, Joseph E. Gonzalez, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg

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Frustratingly Simple Few-Shot Object Detection

Mar 16, 2020
Xin Wang, Thomas E. Huang, Trevor Darrell, Joseph E. Gonzalez, Fisher Yu

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* 12 pages, 8 figures 

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Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data

Mar 03, 2020
Priya Sundaresan, Jennifer Grannen, Brijen Thananjeyan, Ashwin Balakrishna, Michael Laskey, Kevin Stone, Joseph E. Gonzalez, Ken Goldberg

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* 2020 International Conference on Robotics and Automation 

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ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions

Mar 03, 2020
Brijen Thananjeyan, Ashwin Balakrishna, Ugo Rosolia, Joseph E. Gonzalez, Aaron Ames, Ken Goldberg

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* First two authors contributed equally 

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Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers

Feb 26, 2020
Zhuohan Li, Eric Wallace, Sheng Shen, Kevin Lin, Kurt Keutzer, Dan Klein, Joseph E. Gonzalez

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Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization

Oct 07, 2019
Paras Jain, Ajay Jain, Aniruddha Nrusimha, Amir Gholami, Pieter Abbeel, Kurt Keutzer, Ion Stoica, Joseph E. Gonzalez

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Helen: Maliciously Secure Coopetitive Learning for Linear Models

Sep 03, 2019
Wenting Zheng, Raluca Ada Popa, Joseph E. Gonzalez, Ion Stoica

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* IEEE S&P 2019 

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On-Policy Robot Imitation Learning from a Converging Supervisor

Jul 08, 2019
Ashwin Balakrishna, Brijen Thananjeyan, Jonathan Lee, Arsh Zahed, Felix Li, Joseph E. Gonzalez, Ken Goldberg

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Task-Aware Deep Sampling for Feature Generation

Jun 11, 2019
Xin Wang, Fisher Yu, Trevor Darrell, Joseph E. Gonzalez

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* 12 pages, 6 figures 

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Extending Deep Model Predictive Control with Safety Augmented Value Estimation from Demonstrations

Jun 03, 2019
Brijen Thananjeyan, Ashwin Balakrishna, Ugo Rosolia, Felix Li, Rowan McAllister, Joseph E. Gonzalez, Sergey Levine, Francesco Borrelli, Ken Goldberg

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