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Contextual Temperature for Language Modeling


Dec 25, 2020
Pei-Hsin Wang, Sheng-Iou Hsieh, Shih-Chieh Chang, Yu-Ting Chen, Jia-Yu Pan, Wei Wei, Da-Chang Juan


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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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Leveraging Motion Priors in Videos for Improving Human Segmentation


Jul 30, 2018
Yu-Ting Chen, Wen-Yen Chang, Hai-Lun Lu, Tingfan Wu, Min Sun

* ECCV2018 

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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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DC-Prophet: Predicting Catastrophic Machine Failures in DataCenters


Aug 14, 2017
You-Luen Lee, Da-Cheng Juan, Xuan-An Tseng, Yu-Ting Chen, Shih-Chieh Chang

* 13 pages, 5 figures, accepted by 2017 ECML PKDD 

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No More Discrimination: Cross City Adaptation of Road Scene Segmenters


Apr 27, 2017
Yi-Hsin Chen, Wei-Yu Chen, Yu-Ting Chen, Bo-Cheng Tsai, Yu-Chiang Frank Wang, Min Sun

* 13 pages, 10 figures 

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