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COCOI: Contact-aware Online Context Inference for Generalizable Non-planar Pushing

Nov 23, 2020
Zhuo Xu, Wenhao Yu, Alexander Herzog, Wenlong Lu, Chuyuan Fu, Masayoshi Tomizuka, Yunfei Bai, C. Karen Liu, Daniel Ho


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RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer

Nov 06, 2020
Daniel Ho, Kanishka Rao, Zhuo Xu, Eric Jang, Mohi Khansari, Yunfei Bai

* 9 pages; Submitted to the International Conference on Robotics and Automation (ICRA) 2021 

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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

* 8 pages, 8 figures 

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Can BERT Reason? Logically Equivalent Probes for Evaluating the Inference Capabilities of Language Models

May 02, 2020
Pei Zhou, Rahul Khanna, Bill Yuchen Lin, Daniel Ho, Xiang Ren, Jay Pujara

* 15 pages, 11 figures. Work in progress 

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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

* 14 pages, 9 figures 

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Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules

May 14, 2019
Daniel Ho, Eric Liang, Ion Stoica, Pieter Abbeel, Xi Chen

* ICML 2019 

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Improvements to context based self-supervised learning

Mar 28, 2018
T. Nathan Mundhenk, Daniel Ho, Barry Y. Chen

* Accepted paper at CVPR 2018 

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