4 citations · 7 across the 5 of their papers we have counts for
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cs.LG2023
Accurate Neural Network Pruning Requires Rethinking Sparse Optimization
Denis Kuznedelev, Eldar Kurtic, Eugenia Iofinova +3
Obtaining versions of deep neural networks that are both highly-accurate and highly-sparse is one of the main challenges in the area of model compression, and several high-performa…
cs.LG2023★ 2 cited
SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks
Mahdi Nikdan, Tommaso Pegolotti, Eugenia Iofinova +2
We provide a new efficient version of the backpropagation algorithm, specialized to the case where the weights of the neural network being trained are sparse. Our algorithm is gene…