26 citations · 50 across the 19 of their papers we have counts for
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cs.CV2023
Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures
Eugenia Iofinova, Alexandra Peste, Dan Alistarh
Pruning - that is, setting a significant subset of the parameters of a neural network to zero - is one of the most popular methods of model compression. Yet, several recent works h…
cs.CV2023★ 1 cited
Vision Models Can Be Efficiently Specialized via Few-Shot Task-Aware Compression
Denis Kuznedelev, Soroush Tabesh, Kimia Noorbakhsh +4
Recent vision architectures and self-supervised training methods enable vision models that are extremely accurate and general, but come with massive parameter and computational cos…