Nontawat Charoenphakdee
นนทวัฒน์ เจริญภักดี (นัท), チャロエンパックディー ノンタワット (ナット)

Taken in Sumida, Tokyo.
I am interested in using machine learning to create “artificial intelligence that can collaborate with humans” to enable better technology for everyone. Currently, I am a researcher at Preferred Networks, working on machine learning for healthcare and quantum chemistry domains.
Research interests: I am interested in machine learning algorithm analysis and design in general. More specifically, my current research topics include:
- Loss function
- Evaluation metric
- Learning with reject option
- Weakly supervised learning
- Domain adaptation
- Anomaly detection
- Applications (e.g., speech signal processing, healthcare data analysis, molecular property prediction, neural network potentials, natural language processing)
I completed a PhD student under the supervision of Prof. Masashi Sugiyama in Sugiyama-Yokoya-Ishida laboratory, Department of computer science, The University of Tokyo. My doctoral thesis is “Theory and algorithms of machine learning with rejection based on loss function perspective”.
Links: Publications, CV
News
Mar 24, 2022 | I received the Dean’s award for outstanding research achievement (情報理工学系研究科長賞(研究業績)). I have been fortunate to meet and work with many wonderful people here in UTokyo. I would not have been able to receive this award without their support. |
Oct 15, 2021 | I was selected as an outstanding reviewer (top 8%) of “NeurIPS2021”. |
Oct 1, 2021 | I have joined Preferred Networks as a researcher! |
Sep 24, 2021 | I completed my PhD! There are so many precious memories with wonderful people throughout the journey. Thank you so much for being an important part of it. |
Aug 26, 2021 | Our paper: “Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph” has been accepted to Findings of EMNLP 2021. |
Jul 26, 2021 | I was selected as the best reviewer (top 10%) of “ICML2021”. |
May 28, 2021 | Our paper: “Semi-Supervised Ordinal Regression Based on Empirical Risk Minimization” has been accepted to Neural Computation. |
May 20, 2021 | I was selected as an outstanding reviewer of “CVPR2021”. I sincerely hope the authors of the submitted papers that I reviewed found my comments useful. I also learned a lot from reading many interesting papers! |