UCL icon indicating copy to clipboard operation
UCL copied to clipboard

Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)

Results 6 UCL issues
Sort by recently updated
recently updated
newest added

typo: configs/barlowm_c100.yaml -> configs/barlow_c100.yaml and 1 more

Hey authors, I am not sure that the learning is updated in the code. While I saw something to define the learning rate update strategy, there is nothing to be...

Hi authors, Ideally, we can get the same result as the paper reported if I set the cl_model to "mixup", right? But I only got 70.95% acc on this way...

Hi, I found a difference between your code and the way the `Average Forgetting` is calculated in the paper. - paper `Average Forgetting`: ![图片](https://user-images.githubusercontent.com/78412068/220847308-f212d3db-b0bc-4ec7-8c28-5876e7a036f9.png) - code `line 113` in `main.py`:...

Hi, I fixed the code for calculating the `average forgetting` in `main.py` and `linear_eval_alltasks.py`, and updated the configs.

Dear Author, Thank you for your excellent work! I have a few questions regarding the evaluation process at UCL: After the representation learning phase, the paper mentions measuring performance using...