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HyperGrid: Efficient Multi-Task Transformers with Grid-wise Decomposable Hyper Projections

Jul 12, 2020
Yi Tay, Zhe Zhao, Dara Bahri, Donald Metzler, Da-Cheng Juan


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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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Synthesizer: Rethinking Self-Attention in Transformer Models

May 02, 2020
Yi Tay, Dara Bahri, Donald Metzler, Da-Cheng Juan, Zhe Zhao, Che Zheng


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Low-Dimensional Hyperbolic Knowledge Graph Embeddings

May 01, 2020
Ines Chami, Adva Wolf, Da-Cheng Juan, Frederic Sala, Sujith Ravi, Christopher Ré


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Sparse Sinkhorn Attention

Feb 26, 2020
Yi Tay, Dara Bahri, Liu Yang, Donald Metzler, Da-Cheng Juan


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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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Natural Adversarial Sentence Generation with Gradient-based Perturbation

Sep 06, 2019
Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, Wei Wei, Wen-Lian Hsu, Cho-Jui Hsieh


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COCO-GAN: Generation by Parts via Conditional Coordinating

Apr 16, 2019
Chieh Hubert Lin, Chia-Che Chang, Yu-Sheng Chen, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen

* All images are compressed due to size limit, please access the full-resolution version via: http://bit.ly/COCO-GAN-full 

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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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Graph-RISE: Graph-Regularized Image Semantic Embedding

Feb 14, 2019
Da-Cheng Juan, Chun-Ta Lu, Zhen Li, Futang Peng, Aleksei Timofeev, Yi-Ting Chen, Yaxi Gao, Tom Duerig, Andrew Tomkins, Sujith Ravi

* 9 pages, 7 figures 

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InstaNAS: Instance-aware Neural Architecture Search

Nov 26, 2018
An-Chieh Cheng, Chieh Hubert Lin, Da-Cheng Juan, Wei Wei, Min Sun


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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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Escaping from Collapsing Modes in a Constrained Space

Aug 22, 2018
Chia-Che Chang, Chieh Hubert Lin, Che-Rung Lee, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen

* To appear in ECCV 2018 

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DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures

Jul 25, 2018
Jin-Dong Dong, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, Min Sun

* 13 pages 9 figures, ECCV 2018 Camera Ready 

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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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HyperPower: Power- and Memory-Constrained Hyper-Parameter Optimization for Neural Networks

Dec 06, 2017
Dimitrios Stamoulis, Ermao Cai, Da-Cheng Juan, Diana Marculescu

* This conference paper will appear in the proceedings of DATE 2018 

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NeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks

Oct 15, 2017
Ermao Cai, Da-Cheng Juan, Dimitrios Stamoulis, Diana Marculescu

* Accepted as a conference paper at ACML 2017 

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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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