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Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification


Aug 18, 2022
Quanshi Zhang, Xu Cheng, Yilan Chen, Zhefan Rao

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Demystify Optimization and Generalization of Over-parameterized PAC-Bayesian Learning


Feb 04, 2022
Wei Huang, Chunrui Liu, Yilan Chen, Tianyu Liu, Richard Yi Da Xu

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* 19pages, 5 figures 

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On the Equivalence between Neural Network and Support Vector Machine


Nov 11, 2021
Yilan Chen, Wei Huang, Lam M. Nguyen, Tsui-Wei Weng

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* 35th Conference on Neural Information Processing Systems (NeurIPS 2021) 

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Explaining Knowledge Distillation by Quantifying the Knowledge


Mar 07, 2020
Xu Cheng, Zhefan Rao, Yilan Chen, Quanshi Zhang

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