What makes multi-modal learning better than single (provably) Y Huang*, C Du*, Z Xue, X Chen, H Zhao, L Huang Advances in Neural Information Processing Systems 34, 10944-10956, 2021 | 227 | 2021 |
Improving multi-modal learning with uni-modal teachers C Du, T Li, Y Liu, Z Wen, T Hua, Y Wang, H Zhao arXiv preprint arXiv:2106.11059, 2021 | 38 | 2021 |
On Uni-Modal Feature Learning in Supervised Multi-Modal Learning C Du, J Teng, T Li, Y Liu, T Yuan, Y Wang, Y Yuan, H Zhao International Conference on Machine Learning (ICML) 2023, 2023 | 27 | 2023 |
Chatdb: Augmenting llms with databases as their symbolic memory C Hu, J Fu, C Du, S Luo, J Zhao, H Zhao arXiv preprint arXiv:2306.03901, 2023 | 14 | 2023 |
Secure Data Sharing With Flow Model C Wu*, C Du*, Y Yuan arXiv preprint arXiv:2009.11762, 2020 | 4 | 2020 |
Intrinsically motivated self-supervised learning in reinforcement learning Y Zhao, C Du, H Zhao, T Li 2022 International Conference on Robotics and Automation (ICRA), 3605-3615, 2022 | 2 | 2022 |
What Makes for Robust Multi-Modal Models in the Face of Missing Modalities? S Li*, C Du*, Y Zhao, Y Huang, H Zhao arXiv preprint arXiv:2310.06383, 2023 | 1* | 2023 |
Improving Discriminative Multi-Modal Learning with Large-Scale Pre-Trained Models C Du, Y Zhao, C Liao, J You, J Fu, H Zhao arXiv preprint arXiv:2310.05193, 2023 | | 2023 |