Do We Need to Penalize Variance of Losses for Learning with Label Noise? Y Lin, Y Yao, Y Du, J Yu, B Han, M Gong, T Liu arXiv preprint arXiv:2201.12739, 2022 | 2 | 2022 |
CS-Isolate: Extracting Hard Confident Examples by Content and Style Isolation Y Lin, Y Yao, X Shi, M Gong, X Shen, D Xu, T Liu Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
Learning the Latent Noisy Data Generative Process for Label-Noise Learning Y Lin, Y Yao, T Liu | | 2023 |
Improving the Estimation of Instance-dependent Transition Matrix by using Self-supervised Learning Y Lin, Y Yao, Z Wang, X Shen, J Yu, B Han, T Liu | | 2022 |
Do We Always Need to Penalize Variance of Losses for Learning with Label Noise? Y Lin, Y Yao, Y Du, J Yu, B Han, M Gong, T Liu | | 2022 |