34 citations · 109 across the 15 of their papers we have counts for
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cs.LG2021★ 6 cited
Accurate Neural Training with 4-bit Matrix Multiplications at Standard Formats
Brian Chmiel, Ron Banner, Elad Hoffer +2
Quantization of the weights and activations is one of the main methods to reduce the computational footprint of Deep Neural Networks (DNNs) training. Current methods enable 4-bit q…
cs.AI2021★ 15 cited
Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks
Itay Hubara, Brian Chmiel, Moshe Island +3
Unstructured pruning reduces the memory footprint in deep neural networks (DNNs). Recently, researchers proposed different types of structural pruning intending to reduce also the…