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PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds


Oct 24, 2022
Zhaoqi Leng, Shuyang Cheng, Benjamin Caine, Weiyue Wang, Xiao Zhang, Jonathon Shlens, Mingxing Tan, Dragomir Anguelov

* ECCV 2022 (pp. 555-572). Springer, Cham 

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G-Augment: Searching For The Meta-Structure Of Data Augmentation Policies For ASR


Oct 19, 2022
Gary Wang, Ekin D. Cubuk, Andrew Rosenberg, Shuyang Cheng, Ron J. Weiss, Bhuvana Ramabhadran, Pedro J. Moreno, Quoc V. Le, Daniel S. Park

* 6 pages, accepted at SLT 2022 

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LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds


Oct 10, 2022
Chenxi Liu, Zhaoqi Leng, Pei Sun, Shuyang Cheng, Charles R. Qi, Yin Zhou, Mingxing Tan, Dragomir Anguelov

* ECCV 2022 

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PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions


Apr 26, 2022
Zhaoqi Leng, Mingxing Tan, Chenxi Liu, Ekin Dogus Cubuk, Xiaojie Shi, Shuyang Cheng, Dragomir Anguelov

* International Conference on Learning Representations. 2021 

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Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset


Apr 20, 2021
Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Ben Sapp, Charles Qi, Yin Zhou, Zoey Yang, Aurelien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov

* 15 pages, 10 figures 

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Can weight sharing outperform random architecture search? An investigation with TuNAS


Aug 13, 2020
Gabriel Bender, Hanxiao Liu, Bo Chen, Grace Chu, Shuyang Cheng, Pieter-Jan Kindermans, Quoc Le

* Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, pp. 14323-14332 
* Published at CVPR 2020 

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Improving 3D Object Detection through Progressive Population Based Augmentation


Apr 02, 2020
Shuyang Cheng, Zhaoqi Leng, Ekin Dogus Cubuk, Barret Zoph, Chunyan Bai, Jiquan Ngiam, Yang Song, Benjamin Caine, Vijay Vasudevan, Congcong Li, Quoc V. Le, Jonathon Shlens, Dragomir Anguelov


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