research
∙
07/06/2023
Pruning vs Quantization: Which is Better?
Neural network pruning and quantization techniques are almost as old as ...
share
research
∙
03/31/2023
FP8 versus INT8 for efficient deep learning inference
Recently, the idea of using FP8 as a number format for neural network tr...
research
∙
08/19/2022
FP8 Quantization: The Power of the Exponent
When quantizing neural networks for efficient inference, low-bit integer...
research
∙
07/22/2022
Quantized Sparse Weight Decomposition for Neural Network Compression
In this paper, we introduce a novel method of neural network weight comp...
research
∙
02/02/2022
Cyclical Pruning for Sparse Neural Networks
Current methods for pruning neural network weights iteratively apply mag...
research
∙
12/20/2019
Taxonomy and Evaluation of Structured Compression of Convolutional Neural Networks
The success of deep neural networks in many real-world applications is l...
research
∙
11/17/2016
