Review for NeurIPS paper: Few-shot Image Generation with Elastic Weight Consolidation

Weaknesses: The quality of the paper is already great, but there are a few comments. In equation 3 (page 4), it is not clear whether you compute F of the generated source or target data. Also, I don't quite understand why the FI is computed for the difference between the pretrained and finetuned parameters, and not just for the pretrained parameters. Finally, I assume i in this equation is the layer index, but this should be clearly stated. Update: In the rebuttal, the authors kindly explained that the F is computed for each individual parameter in the network rather than for the entire layer.