Reviews: AutoPrune: Automatic Network Pruning by Regularizing Auxiliary Parameters
–Neural Information Processing Systems
After Rebuttal: The new test results are very welcome and indeed show that the proposed method is on-par with the most recent SOTA works in terms or compression rates, which greatly enhances its significance in my opinion. As a result I increased my score. While using masks is not entirely novel, having auxiliary parameters to decouple the pruning and learning processes is I think quite important and seems to be novel. While the lack of theoretical contributions makes the suitability of the paper to NeurIPS debatable, I think this still is a good paper and I wouldn't mind it being accepted. Since the paper focuses on pruning only this might be fine.
Neural Information Processing Systems
Jan-23-2025, 14:12:52 GMT
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