TO COMPLETE. I kinda dropped this one cause it’s really academic and isn’t a common type of competition
Link: https://www.kaggle.com/c/neurips-2023-machine-unlearning
Problem Type:
Input: model weights
Output: model weights that have unlearned images from the “forget set”
Eval Metric:
- To measure forgetting quality we require an estimation of two distributions: the one obtained from unlearning and that obtained from retraining-from-scratch.
Summary
Important notebooks/discussions:
Solution Links
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(1st)