Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization Y Zhang, G Niu, M Sugiyama International Conference on Machine Learning 2021, 2021 | 77 | 2021 |
Classification with Rejection Based on Cost-sensitive Classification N Charoenphakdee, Z Cui, Y Zhang, M Sugiyama International Conference on Machine Learning 2021, 2020 | 74 | 2020 |
Learning from Aggregate Observations Y Zhang, N Charoenphakdee, Z Wu, M Sugiyama Neural Information Processing Systems 2020, 2020 | 27 | 2020 |
Approximating Instance-Dependent Noise via Instance-Confidence Embedding Y Zhang, M Sugiyama arXiv preprint arXiv:2103.13569, 2021 | 9 | 2021 |
Learning from Indirect Observations Y Zhang, N Charoenphakdee, M Sugiyama arXiv preprint arXiv:1910.04394, 2019 | 6 | 2019 |
A Category-theoretical Meta-analysis of Definitions of Disentanglement Y Zhang, M Sugiyama International Conference on Machine Learning 2023, 2023 | 4 | 2023 |
Enriching Disentanglement: From Logical Definitions to Quantitative Metrics Y Zhang, M Sugiyama arXiv preprint arXiv:2305.11512, 2023 | 1 | 2023 |
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift Y Zhang, J Wang, X Xie, M Sugiyama arXiv preprint arXiv:2208.02011, 2022 | 1 | 2022 |