Resrep: Lossless cnn pruning via decoupling remembering and forgetting X Ding, T Hao, J Tan, J Liu, J Han, Y Guo, G Ding Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 199 | 2021 |
Manipulating identical filter redundancy for efficient pruning on deep and complicated cnn T Hao, X Ding, J Han, Y Guo, G Ding IEEE Transactions on Neural Networks and Learning Systems, 2023 | 12* | 2023 |
Lossless cnn channel pruning via gradient resetting and convolutional re-parameterization X Ding, T Hao, J Liu, J Han, Y Guo, G Ding arXiv preprint arXiv:2007.03260 3, 2020 | 11 | 2020 |
Consolidator: Mergeable adapter with grouped connections for visual adaptation T Hao, H Chen, Y Guo, G Ding arXiv preprint arXiv:2305.00603, 2023 | 10 | 2023 |
PYRA: Parallel Yielding Re-Activation for Training-Inference Efficient Task Adaptation Y Xiong, H Chen, T Hao, Z Lin, J Han, Y Zhang, G Wang, Y Bao, G Ding arXiv preprint arXiv:2403.09192, 2024 | 3 | 2024 |
Re-parameterized Low-rank Prompt: Generalize a Vision-Language Model within 0.5 K Parameters T Hao, M Lyu, H Chen, S Zhao, J Han, G Ding arXiv preprint arXiv:2312.10813, 2023 | 2 | 2023 |
Quantized Prompt for Efficient Generalization of Vision-Language Models T Hao, X Ding, J Feng, Y Yang, H Chen, G Ding arXiv preprint arXiv:2407.10704, 2024 | 1 | 2024 |
Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence M Lyu, T Hao, X Xu, H Chen, Z Lin, J Han, G Ding arXiv preprint arXiv:2407.18899, 2024 | | 2024 |