G2R Bound: A Generalization Bound for Supervised Learning from GAN-Synthetic Data

May 29, 2019
Fu-Chieh Chang, Hao-Jen Wang, Chun-Nan Chou, Edward Y. Chang


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Distributed Layer-Partitioned Training for Privacy-Preserved Deep Learning

Apr 12, 2019
Chun-Hsien Yu, Chun-Nan Chou, Emily Chang

* accepted by IEEE MIPR'19 - short paper 

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BRIEF: Backward Reduction of CNNs with Information Flow Analysis

Nov 01, 2018
Yu-Hsun Lin, Chun-Nan Chou, Edward Y. Chang

* IEEE Artificial Intelligence and Virtual Reality (IEEE AIVR) 2018 

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MBS: Macroblock Scaling for CNN Model Reduction

Sep 18, 2018
Yu-Hsun Lin, Chun-Nan Chou, Edward Y. Chang

* 8 pages 

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BDA-PCH: Block-Diagonal Approximation of Positive-Curvature Hessian for Training Neural Networks

Feb 20, 2018
Sheng-Wei Chen, Chun-Nan Chou, Edward Y. Chang

* Correct the author's name 

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Distributed Training Large-Scale Deep Architectures

Aug 10, 2017
Shang-Xuan Zou, Chun-Yen Chen, Jui-Lin Wu, Chun-Nan Chou, Chia-Chin Tsao, Kuan-Chieh Tung, Ting-Wei Lin, Cheng-Lung Sung, Edward Y. Chang


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Representation Learning on Large and Small Data

Jul 25, 2017
Chun-Nan Chou, Chuen-Kai Shie, Fu-Chieh Chang, Jocelyn Chang, Edward Y. Chang

* Book chapter 

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