Diversifying prompt-selection about l2p-pytorch

[pmy0792]

google-research/l2p#9

[JH-LEE-KR]

Hi,
thanks for your comment.

You're right. In the paper, they use frequency-based weight to select a diverse prompt.
I also could not find the explicit part in the official jax code, and could not implement.

According to a recent author's explanation (linked by @pmy0792 above), they implemented the method simply and effectively using config.use_prompt_mask.

Fortunately use_prompt_mask is already implemented in my code, and I think you can change this option to True and apply a method that selects a diverse prompt.

However, they said in paper that the method was applied only to 5-datasets, not Split-CIFAR100.
I recently implemented the PyTorch code for 5-datasets, and I updated it, so check it.

If you have any additional comments, please feel free to let me know.

Best,
Jaeho Lee.