Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization Q Wei, H Sun, X Lu, Y Yin ECCV 2022, 516-532, 2022 | 33 | 2022 |
Learning to rectify for robust learning with noisy labels H Sun, C Guo, Q Wei, Z Han, Y Yin Pattern Recognition 124, 108467, 2022 | 30 | 2022 |
Fine-grained classification with noisy labels Q Wei, L Feng, H Sun, R Wang, C Guo, Y Yin CVPR 2023, 11651-11660, 2023 | 15 | 2023 |
Improving Generalization in Meta-Learning via Meta-Gradient Augmentation R Wang, H Sun, Q Wei, X Nie, Y Ma, Y Yin arXiv preprint arXiv:2306.08460, 2023 | 1 | 2023 |
Converting Artificial Neural Networks to Ultra-Low-Latency Spiking Neural Networks for Action Recognition H You, X Zhong, W Liu, Q Wei, W Huang, Z Yu, T Huang IEEE Transactions on Cognitive and Developmental Systems 2024, 2024 | | 2024 |
Debiased Sample Selection for Combating Noisy Labels Q Wei, L Feng, H Wang, B An arXiv preprint arXiv:2401.13360, 2024 | | 2024 |
Learning sample-aware threshold for semi-supervised learning Q Wei, L Feng, H Sun, R Wang, R He, Y Yin Machine Learning, 1-23, 2024 | | 2024 |