Title |
|---|
 |
 Neural Collapse in Multi-label Learning with Pick-all-label LossInternational Conference on Machine Learning (ICML), 2023 |
 A dual-branch model with inter- and intra-branch contrastive loss for
long-tailed recognitionNeural Networks (Neural Netw.), 2023 |
 Skeleton-based Action Recognition through Contrasting Two-Stream
Spatial-Temporal NetworksIEEE transactions on multimedia (IEEE TMM), 2023 |
 Are All Losses Created Equal: A Neural Collapse PerspectiveNeural Information Processing Systems (NeurIPS), 2022 |
 General Cyclical Training of Neural NetworksAdvances in Artificial Intelligence and Machine Learning (AAIML), 2022 |
