Yu-Ting Chen

21 papers A* 2A 3Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2020 J jnl
Calibrated BatchNorm: Improving Robustness Against Noisy Weights in Neural Networks.
CoRR
Li-Huang Tsai, Shih-Chieh Chang, Yu-Ting Chen, Jia-Yu Pan, Wei Wei, Da-Cheng Juan
2020 J jnl
Contextual Temperature for Language Modeling.
CoRR
Pei-Hsin Wang, Sheng-Iou Hsieh, Shih-Chieh Chang, Yu-Ting Chen, Jia-Yu Pan, Wei Wei, Da-Chang Juan
2019 — conf
Complement Objective Training.
ICLR (Poster)
Hao-Yun Chen, Pei-Hsin Wang, Chun-Hao Liu, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan
2019 J jnl
Complement Objective Training.
CoRR
Hao-Yun Chen, Pei-Hsin Wang, Chun-Hao Liu, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan
2019 — conf
Hierarchical LSTM: Modeling Temporal Dynamics and Taxonomy in Location-Based Mobile Check-Ins.
PAKDD (2)
Chun-Hao Liu, Da-Cheng Juan, Xuan-An Tseng, Wei Wei, Yu-Ting Chen, Jia-Yu Pan, Shih-Chieh Chang
2019 A* conf
Improving Adversarial Robustness via Guided Complement Entropy.
ICCV
Hao-Yun Chen, Jhao-Hong Liang, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan
2019 J jnl
Improving Adversarial Robustness via Guided Complement Entropy.
CoRR
Hao-Yun Chen, Jhao-Hong Liang, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan
2019 J jnl
Learning with Hierarchical Complement Objective.
CoRR
Hao-Yun Chen, Li-Huang Tsai, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan
2018 — conf
Leveraging Motion Priors in Videos for Improving Human Segmentation.
ECCV (7)
Yu-Ting Chen, Wen-Yen Chang, Hai-Lun Lu, Tingfan Wu, Min Sun
2018 J jnl
Leveraging Motion Priors in Videos for Improving Human Segmentation.
CoRR
Yu-Ting Chen, Wen-Yen Chang, Hai-Lun Lu, Tingfan Wu, Min Sun
2018 J jnl
MONAS: Multi-Objective Neural Architecture Search using Reinforcement Learning.
CoRR
Chi-Hung Hsu, Shu-Huan Chang, Da-Cheng Juan, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Shih-Chieh Chang
2018 J jnl
Searching Toward Pareto-Optimal Device-Aware Neural Architectures.
CoRR
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
2018 A conf
Searching toward pareto-optimal device-aware neural architectures.
ICCAD
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
2017 — conf
DC-Prophet: Predicting Catastrophic Machine Failures in DataCenters.
ECML/PKDD (3)
You-Luen Lee, Da-Cheng Juan, Xuan-An Tseng, Yu-Ting Chen, Shih-Chieh Chang
2017 J jnl
DC-Prophet: Predicting Catastrophic Machine Failures in DataCenters.
CoRR
You-Luen Lee, Da-Cheng Juan, Xuan-An Tseng, Yu-Ting Chen, Shih-Chieh Chang
2016 — conf
Anticipating Accidents in Dashcam Videos.
ACCV (4)
Fu-Hsiang Chan, Yu-Ting Chen, Yu Xiang, Min Sun
2010 J jnl
An Efficient Wake-Up Strategy Considering Spurious Glitches Phenomenon for Power Gating Designs.
IEEE Trans. Very Large Scale Integr. Syst.
Da-Cheng Juan, Yu-Ting Chen, Ming-Chao Lee, Shih-Chieh Chang
2010 J jnl
Sleep Transistor Sizing for Leakage Power Minimization Considering Temporal Correlation.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
De-Shiuan Chiou, Yu-Ting Chen, Da-Cheng Juan, Shih-Chieh Chang
2009 A conf
An efficient wakeup scheduling considering resource constraint for sensor-based power gating designs.
ICCAD
Ming-Chao Lee, Yu-Ting Chen, Yo-Tzu Cheng, Shih-Chieh Chang
2007 A conf
An efficient wake-up schedule during power mode transition considering spurious glitches phenomenon.
ICCAD
Yu-Ting Chen, Da-Cheng Juan, Ming-Chao Lee, Shih-Chieh Chang
2007 A* conf
Fine-Grained Sleep Transistor Sizing Algorithm for Leakage Power Minimization.
DAC
De-Shiuan Chiou, Da-Cheng Juan, Yu-Ting Chen, Shih-Chieh Chang