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Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints


Dec 14, 2020
Xin Li, Xiangrui Li, Deng Pan, Dongxiao Zhu

* To appear in the proceedings of Thirty-Five AAAI Conference on Artificial Intelligence (AAAI-21) 

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Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability


Jul 12, 2020
Deng Pan, Xiangrui Li, Xin Li, Dongxiao Zhu

* IJCAI 2020, pages 2690-2696 
* Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI) 

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Defending against adversarial attacks on medical imaging AI system, classification or detection?


Jun 24, 2020
Xin Li, Deng Pan, Dongxiao Zhu


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On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks


Mar 04, 2020
Xiangrui Li, Xin Li, Deng Pan, Dongxiao Zhu

* AAAI2020. Previously this appeared as arXiv:1906.04026v2, which was submitted as a replacement by accident 

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Improve SGD Training via Aligning Mini-batches


Feb 27, 2020
Xiangrui Li, Deng Pan, Xin Li, Dongxiao Zhu


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Improve SGD Training via Aligning Min-batches


Feb 23, 2020
Xiangrui Li, Deng Pan, Xin Li, Dongxiao Zhu


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