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Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification


Feb 01, 2022
Takashi Ishida, Ikko Yamane, Nontawat Charoenphakdee, Gang Niu, Masashi Sugiyama


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Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph


Sep 10, 2021
Nuttapong Chairatanakul, Noppayut Sriwatanasakdi, Nontawat Charoenphakdee, Xin Liu, Tsuyoshi Murata

* Published in Findings of EMNLP 2021 

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A Symmetric Loss Perspective of Reliable Machine Learning


Jan 05, 2021
Nontawat Charoenphakdee, Jongyeong Lee, Masashi Sugiyama

* Preprint of an Invited Review Article 

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On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective


Dec 14, 2020
Nontawat Charoenphakdee, Jayakorn Vongkulbhisal, Nuttapong Chairatanakul, Masashi Sugiyama

* 57 pages 

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Robust Imitation Learning from Noisy Demonstrations


Oct 31, 2020
Voot Tangkaratt, Nontawat Charoenphakdee, Masashi Sugiyama


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Classification with Rejection Based on Cost-sensitive Classification


Oct 31, 2020
Nontawat Charoenphakdee, Zhenghang Cui, Yivan Zhang, Masashi Sugiyama

* 34 pages 

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Learning from Aggregate Observations


Apr 14, 2020
Yivan Zhang, Nontawat Charoenphakdee, Zhenguo Wu, Masashi Sugiyama


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