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20222026
most citedTowards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations

2 citations · 5 across the 8 of their papers we have counts for

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cs.CV2024

When Does Visual Prompting Outperform Linear Probing for Vision-Language Models? A Likelihood Perspective

Hsi-Ai Tsao, Lei Hsiung, Pin-Yu Chen +1

Adapting pre-trained models to new tasks can exhibit varying effectiveness across datasets. Visual prompting, a state-of-the-art parameter-efficient transfer learning method, can s…