Understanding and improving visual prompting: A label-mapping perspective A Chen, Y Yao, PY Chen, Y Zhang, S Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 43 | 2023 |
Visual prompting for adversarial robustness A Chen, P Lorenz, Y Yao, PY Chen, S Liu ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 22 | 2023 |
To generate or not? safety-driven unlearned diffusion models are still easy to generate unsafe images... for now Y Zhang, J Jia, X Chen, A Chen, Y Zhang, J Liu, K Ding, S Liu arXiv preprint arXiv:2310.11868, 2023 | 13 | 2023 |
All in one and one for all: A simple yet effective method towards cross-domain graph pretraining H Zhao, A Chen, X Sun, H Cheng, J Li arXiv preprint arXiv:2402.09834, 2024 | 7 | 2024 |
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training A Chen, Y Zhang, J Jia, J Diffenderfer, J Liu, K Parasyris, Y Zhang, ... arXiv preprint arXiv:2310.02025, 2023 | 5 | 2023 |
Selectivity drives productivity: efficient dataset pruning for enhanced transfer learning Y Zhang, Y Zhang, A Chen, J Liu, G Liu, M Hong, S Chang, S Liu Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
Visual Prompting Reimagined: The Power of Activation Prompts Y Zhang, H Li, Y Yao, A Chen, S Zhang, PY Chen, M Wang, S Liu | 2 | 2024 |
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform Z Gao, Q Wang, A Chen, Z Liu, B Wu, L Chen, J Li arXiv preprint arXiv:2405.03003, 2024 | | 2024 |