Andrey Kuzmin | DeepAI

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∙ 07/06/2023

Pruning vs Quantization: Which is Better?

Neural network pruning and quantization techniques are almost as old as ...

0 Andrey Kuzmin, et al. ∙

∙ 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...

5 Mart van Baalen, et al. ∙

∙ 08/19/2022

FP8 Quantization: The Power of the Exponent

When quantizing neural networks for efficient inference, low-bit integer...

4 Andrey Kuzmin, et al. ∙

∙ 07/22/2022

Quantized Sparse Weight Decomposition for Neural Network Compression

In this paper, we introduce a novel method of neural network weight comp...

8 Andrey Kuzmin, et al. ∙

∙ 02/02/2022

Cyclical Pruning for Sparse Neural Networks

Current methods for pruning neural network weights iteratively apply mag...

12 Suraj Srinivas, et al. ∙

∙ 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...

47 Andrey Kuzmin, et al. ∙

∙ 11/17/2016

End-to-end Learning of Cost-Volume Aggregation for Real-time Dense Stereo

We present a new deep learning-based approach for dense stereo matching....

0 Andrey Kuzmin, et al. ∙

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