Hila Chefer

Hi @zmy1116, thanks for your interest and all your kind words! I’m so glad to hear you found our work inspiring! I’ll do my best to answer your questions, feel...

@zmy1116 closing this issue due to inactivity, please reopen if necessary :)

Hi @NikhilM98, thank you for this suggestion! I'll add it to my todo list, and do my best to document the added code. The method itself is quite straightforward, and...

Hi @SreeHarshaNelaturu, thanks for your interest! (1) as most explainability methods, ours is focused on classification models, however it is possible to make adjustments in cases where the output can...

Happy to help :) it sounds like the model you’re describing is more similar to the DETR case than the CLIP case. DETR too has a CNN backbone and then...

Hi @josh-freeman, thanks for your contribution to this repo! it'll take me some time to review and approve your PR since it contains a significant amount of changes, will get...

Hi @lindapu-1, thanks for your interest and your kind words! Our code is available under the [Google research repo](https://github.com/google-research/google-research/tree/a2a0ec853e8fae38532c727799863e9d639aa0f2/conceptor) so you should be able to reproduce our results by following...