Code missing

[ludiaodiao]

Hello, I have been following your work for a long time. Congratulations on your article being accepted by NIPs 2022. You said in the previous version of the article that you would release the code after receiving the article, and expect you to upload the executable code.

[xiangzhang1015]

Thanks. The current version in this repo is executable, just with some bugs. I'm working on the debugging and am supposed to upload the new version in next few weeks.

[xiangzhang1015]

Hi,

Thanks for your patience. We have updated the TFC implementation. Please check more details in the Updates on Jan 2023 section of the repo readme. In summary:

• Fixed bugs, cleaned the codes, and added comments for better understanding.
• For the contrastive encoders (in both time and frequency domains), we replaced the 3 layers of CNN blocks with 2 layers of Transformer.
• For the downstream classifier, we added a KNN classifier in parallel with the original MLP (2-layer) classifier.
• Shared more ideas that may improve the TF-C framework in follow-up works.