ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond X Guo, Y Wang, T Du, Y Wang arXiv preprint arXiv:2303.06562, 2023 | 33 | 2023 |
A Message Passing Perspective on Learning Dynamics of Contrastive Learning Y Wang, Q Zhang, T Du, J Yang, Z Lin, Y Wang arXiv preprint arXiv:2303.04435, 2023 | 18 | 2023 |
ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations X Zhao, T Du, Y Wang, J Yao, W Huang arXiv preprint arXiv:2303.01092, 2023 | 18 | 2023 |
On the role of discrete tokenization in visual representation learning T Du, Y Wang, Y Wang arXiv preprint arXiv:2407.09087, 2024 | 3 | 2024 |
Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretraining Q Zhang, T Du, H Huang, Y Wang, Y Wang arXiv preprint arXiv:2407.00935, 2024 | 1 | 2024 |
Bridging Autoregressive and Masked Modeling for Enhanced Visual Representation Learning T Du, Y Wang, Y Wang | | |
Variational Energy-Based Models: A Probabilistic Framework for Contrastive Self-Supervised Learning T Du, Y Wang, W Huang, Y Wang | | |