Takashi Ishida

According to our database, Takashi Ishida authored at least 12 papers between 2017 and 2024.

Collaborative distances:

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

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Learning with Complementary Labels Revisited: A Consistent Approach via Negative-Unlabeled Learning.

Wei Wang, Takashi Ishida, Yu-Jie Zhang, Gang Niu, Masashi Sugiyama

CoRR, 2023

Flooding Regularization for Stable Training of Generative Adversarial Networks.

Iu Yahiro, Takashi Ishida, Naoto Yokoya

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

Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality.

Ikko Yamane, Yann Chevaleyre, Takashi Ishida, Florian Yger

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

LocalDrop: A Hybrid Regularization for Deep Neural Networks.

Ziqing Lu, Chang Xu, Bo Du, Takashi Ishida, Lefei Zhang, Masashi Sugiyama

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learning from Noisy Complementary Labels with Robust Loss Functions.

Hiroki Ishiguro, Takashi Ishida, Masashi Sugiyama

IEICE Trans. Inf. Syst., 2022

2020

Do We Need Zero Training Loss After Achieving Zero Training Error?

Takashi Ishida, Ikko Yamane, Tomoya Sakai, Gang Niu, Masashi Sugiyama

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Complementary-Label Learning for Arbitrary Losses and Models.

Takashi Ishida, Gang Niu, Aditya Krishna Menon, Masashi Sugiyama

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

2018

Binary Classification from Positive-Confidence Data.

Takashi Ishida, Gang Niu, Masashi Sugiyama

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Learning from Complementary Labels.

Takashi Ishida, Gang Niu, Masashi Sugiyama

CoRR, 2017

Learning from Complementary Labels.

Takashi Ishida, Gang Niu, Weihua Hu, Masashi Sugiyama

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017