 Granular-ball Representation Learning for Deep CNN on Learning with
Label NoiseInternational Conference on Neural Information Processing (ICONIP), 2024 |
 CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep
LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 |
 Detecting Corrupted Labels Without Training a Model to PredictInternational Conference on Machine Learning (ICML), 2021 |
 Clusterability as an Alternative to Anchor Points When Learning with
Noisy LabelsInternational Conference on Machine Learning (ICML), 2021 |
 A Second-Order Approach to Learning with Instance-Dependent Label NoiseComputer Vision and Pattern Recognition (CVPR), 2020 |
 Learning with Instance-Dependent Label Noise: A Sample Sieve ApproachInternational Conference on Learning Representations (ICLR), 2020 |
 MLR-SNet: Transferable LR Schedules for Heterogeneous TasksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 |
