Takahashi, Hiroshi

8 publications

AISTATS 2025 Importance-Weighted Positive-Unlabeled Learning for Distribution Shift Adaptation Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi, Taishi Nishiyama, Yasuhiro Fujiwara

ICML 2025 Positive-Unlabeled AUC Maximization Under Covariate Shift Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi, Taishi Nishiyama, Kazuki Adachi, Yasuhiro Fujiwara

ICLR 2025 Positive-Unlabeled Diffusion Models for Preventing Sensitive Data Generation Hiroshi Takahashi, Tomoharu Iwata, Atsutoshi Kumagai, Yuuki Yamanaka, Tomoya Yamashita

NeurIPS 2024 AUC Maximization Under Positive Distribution Shift Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi, Taishi Nishiyama, Yasuhiro Fujiwara

AISTATS 2023 Meta-Learning for Robust Anomaly Detection Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi, Yasuhiro Fujiwara

ICML 2023 One-vs-the-REST Loss to Focus on Important Samples in Adversarial Training Sekitoshi Kanai, Shin’Ya Yamaguchi, Masanori Yamada, Hiroshi Takahashi, Kentaro Ohno, Yasutoshi Ida

AAAI 2019 Variational Autoencoder with Implicit Optimal Priors Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi

IJCAI 2018 Student-T Variational Autoencoder for Robust Density Estimation Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi