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cs.LG2024
Sharpness-Aware Black-Box Optimization
Feiyang Ye, Yueming Lyu, Xuehao Wang +3
Black-box optimization algorithms have been widely used in various machine learning problems, including reinforcement learning and prompt fine-tuning. However, directly optimizing…
cs.LG2024
Enhancing Sharpness-Aware Minimization by Learning Perturbation Radius
Xuehao Wang, Weisen Jiang, Shuai Fu +1
Sharpness-aware minimization (SAM) is to improve model generalization by searching for flat minima in the loss landscape. The SAM update consists of one step for computing the pert…
cs.CV2024★ 1 cited
Task-Aware Low-Rank Adaptation of Segment Anything Model
Xuehao Wang, Feiyang Ye, Yu Zhang
The Segment Anything Model (SAM), with its remarkable zero-shot capability, has been proven to be a powerful foundation model for image segmentation tasks, which is an important ta…