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12/19/2021
Logarithmic Unbiased Quantization: Practical 4-bit Training in Deep Learning
Quantization of the weights and activations is one of the main methods t...
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02/16/2021
Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks
Recently, researchers proposed pruning deep neural network weights (DNNs...
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06/15/2020
Neural gradients are lognormally distributed: understanding sparse and quantized training
Neural gradient compression remains a main bottleneck in improving train...
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10/02/2018
ACIQ: Analytical Clipping for Integer Quantization of neural networks
Unlike traditional approaches that focus on the quantization at the netw...
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03/05/2018
