Nontawat Charoenphakdee

According to our database, Nontawat Charoenphakdee authored at least 22 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics.

Kenta Oono, Nontawat Charoenphakdee, Kotatsu Bito, Zhengyan Gao, Yoshiaki Ota, Shoichiro Yamaguchi, Yohei Sugawara, Shin-ichi Maeda, Kunihiko Miyoshi, Yuki Saito, Koki Tsuda, Hiroshi Maruyama, Kohei Hayashi

CoRR, 2023

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

Takashi Ishida, Ikko Yamane, Nontawat Charoenphakdee, Gang Niu, Masashi Sugiyama

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Diffusion models for missing value imputation in tabular data.

Shuhan Zheng, Nontawat Charoenphakdee

CoRR, 2022

2021

Semisupervised Ordinal Regression Based on Empirical Risk Minimization.

Taira Tsuchiya, Nontawat Charoenphakdee, Issei Sato, Masashi Sugiyama

Neural Comput., 2021

A Symmetric Loss Perspective of Reliable Machine Learning.

Nontawat Charoenphakdee, Jongyeong Lee, Masashi Sugiyama

CoRR, 2021

Classification with Rejection Based on Cost-sensitive Classification.

Nontawat Charoenphakdee, Zhenghang Cui, Yivan Zhang, Masashi Sugiyama

Proceedings of the 38th International Conference on Machine Learning, 2021

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

Nuttapong Chairatanakul, Noppayut Sriwatanasakdi, Nontawat Charoenphakdee, Xin Liu, Tsuyoshi Murata

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

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

Nontawat Charoenphakdee, Jayakorn Vongkulbhisal, Nuttapong Chairatanakul, Masashi Sugiyama

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Robust Imitation Learning from Noisy Demonstrations.

Voot Tangkaratt, Nontawat Charoenphakdee, Masashi Sugiyama

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Classification from Triplet Comparison Data.

Zhenghang Cui, Nontawat Charoenphakdee, Issei Sato, Masashi Sugiyama

Neural Comput., 2020

Time-varying Gaussian Process Bandit Optimization with Non-constant Evaluation Time.

Hideaki Imamura, Nontawat Charoenphakdee, Futoshi Futami, Issei Sato, Junya Honda, Masashi Sugiyama

CoRR, 2020

Learning from Aggregate Observations.

Yivan Zhang, Nontawat Charoenphakdee, Zhenguo Wu, Masashi Sugiyama

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Learning from Indirect Observations.

Yivan Zhang, Nontawat Charoenphakdee, Masashi Sugiyama

CoRR, 2019

Semi-Supervised Ordinal Regression Based on Empirical Risk Minimization.

Taira Tsuchiya, Nontawat Charoenphakdee, Issei Sato, Masashi Sugiyama

CoRR, 2019

On Possibility and Impossibility of Multiclass Classification with Rejection.

Chenri Ni, Nontawat Charoenphakdee, Junya Honda, Masashi Sugiyama

CoRR, 2019

Domain Discrepancy Measure Using Complex Models in Unsupervised Domain Adaptation.

Jongyeong Lee, Nontawat Charoenphakdee, Seiichi Kuroki, Masashi Sugiyama

CoRR, 2019

Positive-Unlabeled Classification under Class Prior Shift and Asymmetric Error.

Nontawat Charoenphakdee, Masashi Sugiyama

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

On the Calibration of Multiclass Classification with Rejection.

Chenri Ni, Nontawat Charoenphakdee, Junya Honda, Masashi Sugiyama

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Imitation Learning from Imperfect Demonstration.

Yueh-Hua Wu, Nontawat Charoenphakdee, Han Bao, Voot Tangkaratt, Masashi Sugiyama

Proceedings of the 36th International Conference on Machine Learning, 2019

On Symmetric Losses for Learning from Corrupted Labels.

Nontawat Charoenphakdee, Jongyeong Lee, Masashi Sugiyama

Proceedings of the 36th International Conference on Machine Learning, 2019

Learning Only from Relevant Keywords and Unlabeled Documents.

Nontawat Charoenphakdee, Jongyeong Lee, Yiping Jin, Dittaya Wanvarie, Masashi Sugiyama

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Unsupervised Domain Adaptation Based on Source-Guided Discrepancy.

Seiichi Kuroki, Nontawat Charoenphakdee, Han Bao, Junya Honda, Issei Sato, Masashi Sugiyama

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019