Nontawat Charoenphakdee

36 papers A* 8A 3Journal 23Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Calm Composite Losses: Being Improper Yet Proper Composite. AISTATS Han Bao, Nontawat Charoenphakdee
2025	J	`jnl`	PDRL: Post-hoc Descriptor-based Residual Learning for Uncertainty-Aware Machine Learning Potentials. CoRR Shih-Peng Huang, Nontawat Charoenphakdee, Yuta Tsuboi, Yong-Bin Zhuang, Wenwen Li
2023	A*	`conf`	Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification. ICLR Takashi Ishida, Ikko Yamane, Nontawat Charoenphakdee, Gang Niu, Masashi Sugiyama
2023	J	`jnl`	Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics. CoRR 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
2022	J	`jnl`	Diffusion models for missing value imputation in tabular data. CoRR Shuhan Zheng, Nontawat Charoenphakdee
2022	J	`jnl`	Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification. CoRR Takashi Ishida, Ikko Yamane, Nontawat Charoenphakdee, Gang Niu, Masashi Sugiyama
2021	J	`jnl`	A Symmetric Loss Perspective of Reliable Machine Learning. CoRR Nontawat Charoenphakdee, Jongyeong Lee, Masashi Sugiyama
2021	A*	`conf`	Classification with Rejection Based on Cost-sensitive Classification. ICML Nontawat Charoenphakdee, Zhenghang Cui, Yivan Zhang, Masashi Sugiyama
2021	—	`conf`	Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph. EMNLP (Findings) Nuttapong Chairatanakul, Noppayut Sriwatanasakdi, Nontawat Charoenphakdee, Xin Liu, Tsuyoshi Murata
2021	J	`jnl`	Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph. CoRR Nuttapong Chairatanakul, Noppayut Sriwatanasakdi, Nontawat Charoenphakdee, Xin Liu, Tsuyoshi Murata
2021	A*	`conf`	On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective. CVPR Nontawat Charoenphakdee, Jayakorn Vongkulbhisal, Nuttapong Chairatanakul, Masashi Sugiyama
2021	A	`conf`	Robust Imitation Learning from Noisy Demonstrations. AISTATS Voot Tangkaratt, Nontawat Charoenphakdee, Masashi Sugiyama
2021	J	`jnl`	Semisupervised Ordinal Regression Based on Empirical Risk Minimization. Neural Comput. Taira Tsuchiya, Nontawat Charoenphakdee, Issei Sato, Masashi Sugiyama
2020	J	`jnl`	Classification from Triplet Comparison Data. Neural Comput. Zhenghang Cui, Nontawat Charoenphakdee, Issei Sato, Masashi Sugiyama
2020	J	`jnl`	Classification with Rejection Based on Cost-sensitive Classification. CoRR Nontawat Charoenphakdee, Zhenghang Cui, Yivan Zhang, Masashi Sugiyama
2020	A*	`conf`	Learning from Aggregate Observations. NeurIPS Yivan Zhang, Nontawat Charoenphakdee, Zhenguo Wu, Masashi Sugiyama
2020	J	`jnl`	Learning from Aggregate Observations. CoRR Yivan Zhang, Nontawat Charoenphakdee, Zhenguo Wu, Masashi Sugiyama
2020	J	`jnl`	On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective. CoRR Nontawat Charoenphakdee, Jayakorn Vongkulbhisal, Nuttapong Chairatanakul, Masashi Sugiyama
2020	J	`jnl`	Robust Imitation Learning from Noisy Demonstrations. CoRR Voot Tangkaratt, Nontawat Charoenphakdee, Masashi Sugiyama
2020	J	`jnl`	Time-varying Gaussian Process Bandit Optimization with Non-constant Evaluation Time. CoRR Hideaki Imamura, Nontawat Charoenphakdee, Futoshi Futami, Issei Sato, Junya Honda, Masashi Sugiyama
2019	J	`jnl`	Classification from Triplet Comparison Data. CoRR Zhenghang Cui, Nontawat Charoenphakdee, Issei Sato, Masashi Sugiyama
2019	J	`jnl`	Domain Discrepancy Measure Using Complex Models in Unsupervised Domain Adaptation. CoRR Jongyeong Lee, Nontawat Charoenphakdee, Seiichi Kuroki, Masashi Sugiyama
2019	A*	`conf`	Imitation Learning from Imperfect Demonstration. ICML Yueh-Hua Wu, Nontawat Charoenphakdee, Han Bao, Voot Tangkaratt, Masashi Sugiyama
2019	J	`jnl`	Imitation Learning from Imperfect Demonstration. CoRR Yueh-Hua Wu, Nontawat Charoenphakdee, Han Bao, Voot Tangkaratt, Masashi Sugiyama
2019	—	`conf`	Learning Only from Relevant Keywords and Unlabeled Documents. EMNLP/IJCNLP (1) Nontawat Charoenphakdee, Jongyeong Lee, Yiping Jin, Dittaya Wanvarie, Masashi Sugiyama
2019	J	`jnl`	Learning Only from Relevant Keywords and Unlabeled Documents. CoRR Nontawat Charoenphakdee, Jongyeong Lee, Yiping Jin, Dittaya Wanvarie, Masashi Sugiyama
2019	J	`jnl`	Learning from Indirect Observations. CoRR Yivan Zhang, Nontawat Charoenphakdee, Masashi Sugiyama
2019	J	`jnl`	On Possibility and Impossibility of Multiclass Classification with Rejection. CoRR Chenri Ni, Nontawat Charoenphakdee, Junya Honda, Masashi Sugiyama
2019	A*	`conf`	On Symmetric Losses for Learning from Corrupted Labels. ICML Nontawat Charoenphakdee, Jongyeong Lee, Masashi Sugiyama
2019	J	`jnl`	On Symmetric Losses for Learning from Corrupted Labels. CoRR Nontawat Charoenphakdee, Jongyeong Lee, Masashi Sugiyama
2019	A*	`conf`	On the Calibration of Multiclass Classification with Rejection. NeurIPS Chenri Ni, Nontawat Charoenphakdee, Junya Honda, Masashi Sugiyama
2019	A	`conf`	Positive-Unlabeled Classification under Class Prior Shift and Asymmetric Error. SDM Nontawat Charoenphakdee, Masashi Sugiyama
2019	J	`jnl`	Semi-Supervised Ordinal Regression Based on Empirical Risk Minimization. CoRR Taira Tsuchiya, Nontawat Charoenphakdee, Issei Sato, Masashi Sugiyama
2019	A*	`conf`	Unsupervised Domain Adaptation Based on Source-Guided Discrepancy. AAAI Seiichi Kuroki, Nontawat Charoenphakdee, Han Bao, Junya Honda, Issei Sato, Masashi Sugiyama
2018	J	`jnl`	Positive-Unlabeled Classification under Class Prior Shift and Asymmetric Error. CoRR Nontawat Charoenphakdee, Masashi Sugiyama
2018	J	`jnl`	Unsupervised Domain Adaptation Based on Source-guided Discrepancy. CoRR Seiichi Kuroki, Nontawat Charoenphakdee, Han Bao, Junya Honda, Issei Sato, Masashi Sugiyama