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08/03/2023
Accurate Neural Network Pruning Requires Rethinking Sparse Optimization
Obtaining versions of deep neural networks that are both highly-accurate...
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04/25/2023
Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures
Pruning - that is, setting a significant subset of the parameters of a n...
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02/09/2023
SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks
We provide a new efficient version of the backpropagation algorithm, spe...
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11/26/2021
How Well Do Sparse Imagenet Models Transfer?
Transfer learning is a classic paradigm by which models pretrained on la...
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06/23/2021
AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks
The increasing computational requirements of deep neural networks (DNNs)...
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06/22/2021