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Remix: Rebalanced Mixup

Jul 08, 2020
Hsin-Ping Chou, Shih-Chieh Chang, Jia-Yu Pan, Wei Wei, Da-Cheng Juan

* 14 pages, 4 figures 

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Calibrated BatchNorm: Improving Robustness Against Noisy Weights in Neural Networks

Jul 07, 2020
Li-Huang Tsai, Shih-Chieh Chang, Yu-Ting Chen, Jia-Yu Pan, Wei Wei, Da-Cheng Juan

* 6 pages, 1 figure 

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Learning with Hierarchical Complement Objective

Nov 17, 2019
Hao-Yun Chen, Li-Huang Tsai, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan


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Improving Adversarial Robustness via Guided Complement Entropy

Mar 23, 2019
Hao-Yun Chen, Jhao-Hong Liang, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan


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Complement Objective Training

Mar 21, 2019
Hao-Yun Chen, Pei-Hsin Wang, Chun-Hao Liu, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan

* ICLR'19 Camera Ready 

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Searching Toward Pareto-Optimal Device-Aware Neural Architectures

Aug 30, 2018
An-Chieh Cheng, Jin-Dong Dong, Chi-Hung Hsu, Shu-Huan Chang, Min Sun, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan

* ICCAD'18 Invited Paper 

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MONAS: Multi-Objective Neural Architecture Search using Reinforcement Learning

Jun 27, 2018
Chi-Hung Hsu, Shu-Huan Chang, Da-Cheng Juan, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Shih-Chieh Chang


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