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Structural Inference of Networked Dynamical Systems with Universal Differential Equations


Jul 11, 2022
James Koch, Zhao Chen, Aaron Tuor, Jan Drgona, Draguna Vrabie

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HyperPrompt: Prompt-based Task-Conditioning of Transformers


Mar 01, 2022
Yun He, Huaixiu Steven Zheng, Yi Tay, Jai Gupta, Yu Du, Vamsi Aribandi, Zhe Zhao, YaGuang Li, Zhao Chen, Donald Metzler, Heng-Tze Cheng, Ed H. Chi

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GradTail: Learning Long-Tailed Data Using Gradient-based Sample Weighting


Jan 19, 2022
Zhao Chen, Vincent Casser, Henrik Kretzschmar, Dragomir Anguelov

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* 15 pages (including Appendix), 8 figures 

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Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout


Oct 14, 2020
Zhao Chen, Jiquan Ngiam, Yanping Huang, Thang Luong, Henrik Kretzschmar, Yuning Chai, Dragomir Anguelov

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* Conference on Neural Information Processing Systems (NeurIPS) 2020 

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Sparse representation for damage identification of structural systems


Jun 06, 2020
Zhao Chen, Hao Sun

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* 11 pages, 11 figures 

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Taskology: Utilizing Task Relations at Scale


May 14, 2020
Yao Lu, Sören Pirk, Jan Dlabal, Anthony Brohan, Ankita Pasad, Zhao Chen, Vincent Casser, Anelia Angelova, Ariel Gordon

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Deep learning of physical laws from scarce data


May 05, 2020
Zhao Chen, Yang Liu, Hao Sun

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* 33 pages; 1 table and 6 figures in main text; 2 tables and 10 figures in supplementary information 

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DeepPerimeter: Indoor Boundary Estimation from Posed Monocular Sequences


Apr 25, 2019
Ameya Phalak, Zhao Chen, Darvin Yi, Khushi Gupta, Vijay Badrinarayanan, Andrew Rabinovich

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Decentralized Computation Offloading for Multi-User Mobile Edge Computing: A Deep Reinforcement Learning Approach


Dec 16, 2018
Zhao Chen, Xiaodong Wang

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Gradient Adversarial Training of Neural Networks


Jun 21, 2018
Ayan Sinha, Zhao Chen, Vijay Badrinarayanan, Andrew Rabinovich

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* 13 pages, 4 figures 

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