Double-Softmax Prompt Tuning uses sequential softmax normalization to create self-adaptive gradient saturation that filters noisy samples while preserving useful updates in CLIP prompt tuning.
Proceedings of the 37th International Conference on Machine Learning,
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Intrinsic Gradient Suppression for Label-Noise Prompt Tuning in Vision-Language Models
Double-Softmax Prompt Tuning uses sequential softmax normalization to create self-adaptive gradient saturation that filters noisy samples while preserving useful updates in CLIP prompt tuning.