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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

* 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

* 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

* 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

* 13 pages, 4 figures 

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GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks


Jun 12, 2018
Zhao Chen, Vijay Badrinarayanan, Chen-Yu Lee, Andrew Rabinovich

* Proceedings of the 35th International Conference on Machine Learning (2018), 793-802 
* ICML 2018 

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Estimating Depth from RGB and Sparse Sensing


Apr 08, 2018
Zhao Chen, Vijay Badrinarayanan, Gilad Drozdov, Andrew Rabinovich

* 20 pages, 12 figures 

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The Game Imitation: Deep Supervised Convolutional Networks for Quick Video Game AI


Feb 18, 2017
Zhao Chen, Darvin Yi

* 11 pages, 12 figures 

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3-D Convolutional Neural Networks for Glioblastoma Segmentation


Nov 14, 2016
Darvin Yi, Mu Zhou, Zhao Chen, Olivier Gevaert


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