May 30, 2022 · We present Prompt-aligned Gradient, dubbed ProGrad, to prevent prompt tuning from forgetting the the general knowledge learned from VLMs. In ...
We present Prompt-aligned Gradient, dubbed ProGrad, to prevent prompt tuning from forgetting the the general knowledge learned from VLMs.
In this paper, we present Prompt-aligned. Gradient, dubbed ProGrad to prevent prompt tuning from forgetting the general knowledge learned from VLMs. In.
In this paper, we present Prompt-aligned Gradient, dubbed ProGrad to prevent prompt tuning from forgetting the general knowledge learned from VLMs. In ...
Feb 1, 2023 · This paper propses a method for prompt tuning that is less sensitive to overfitting compared to the CoOp approach. The main idea is simple and ...
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To this end, we present a novel prompt tuning method called Prompt-aligned Gradient (ProGrad) to overcome the improperly biased tuning for CLIP. The principle ...
For the implementation of ProGrad, we initialize the model. ˆfprograd using the pre-trained modelˆfp. We regularize each training step not to increase the ...
In this paper, we present Prompt-aligned. Gradient, dubbed ProGrad to prevent prompt tuning from forgetting the general knowledge learned from VLMs. In.
In this paper, we present Prompt-aligned Gradient, dubbed ProGrad to prevent prompt tuning from forgetting the general knowledge learned from VLMs. In ...
To this end, we present a novel prompt tuning method called Prompt-aligned Gradient (ProGrad) to overcome the improperly biased tuning for CLIP. The ...
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