Jia-yu Li

Intrinsic Gradient Suppression for Label-Noise Prompt Tuning in Vision–Language Models

Contrastive vision-language models like CLIP exhibit remarkable zero-shot generalization. However, prompt tuning remains highly sensitive to label noise, as mislabeled samples generate disproportionately large gradients that can overwhelm pre-trained priors. We argue that because CLIP already provid…