Ishida, Takashi

11 publications

ICLR 2026 EDINET-Bench: Evaluating LLMs on Complex Financial Tasks Using Japanese Financial Statements Issa Sugiura, Takashi Ishida, Taro Makino, Chieko Tazuke, Takanori Nakagawa, Kosuke Nakago, David Ha

ICLR 2026 Practical Estimation of the Optimal Classification Error with Soft Labels and Calibration Ryota Ushio, Takashi Ishida, Masashi Sugiyama

ICLR 2026 Towards Scalable Oversight via Partitioned Human Supervision Ren Yin, Takashi Ishida, Masashi Sugiyama

TMLR 2025 Importance Weighting for Aligning Language Models Under Deployment Distribution Shift Thanawat Lodkaew, Tongtong Fang, Takashi Ishida, Masashi Sugiyama

ICML 2024 Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical Wei Wang, Takashi Ishida, Yu-Jie Zhang, Gang Niu, Masashi Sugiyama

ICLR 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

AISTATS 2023 Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality Ikko Yamane, Yann Chevaleyre, Takashi Ishida, Florian Yger

ICML 2020 Do We Need Zero Training Loss After Achieving Zero Training Error? Takashi Ishida, Ikko Yamane, Tomoya Sakai, Gang Niu, Masashi Sugiyama

ICML 2019 Complementary-Label Learning for Arbitrary Losses and Models Takashi Ishida, Gang Niu, Aditya Menon, Masashi Sugiyama

NeurIPS 2018 Binary Classification from Positive-Confidence Data Takashi Ishida, Gang Niu, Masashi Sugiyama

NeurIPS 2017 Learning from Complementary Labels Takashi Ishida, Gang Niu, Weihua Hu, Masashi Sugiyama