Research paper / RESOURCE PROFILE

arXiv 2021

Publication: Pruning and Quantization for Deep Neural Network Acceleration: A Survey. Published Jan 24, 2021.

Research & Papers
arxiv.orgPublished Jan 24, 2021
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Overview

Publication: Pruning and Quantization for Deep Neural Network Acceleration: A Survey. Published Jan 24, 2021.

Publication information

Publication title
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Authors
Tailin Liang, John Glossner, Lei Wang, Shaobo Shi, Xiaotong Zhang
Published
Jan 24, 2021
Last publication revision
Jun 15, 2021
Subject areas
cs.CV, cs.AI
Publication source
arxiv.org · abs/2101.09671v3 ↗

Source: arXiv API · observed Oct 11, 2026.

Source links & provenance

https://arxiv.org/abs/2101.09671 ↗

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github.com

the official implementation of the paper “Re(visiting) Time Series Foundation Models in Finance”.

GitHub stars
31
Language
Jupyter Notebook
Code license
Apache-2.0
foundation-modeltime-seriesresearch-lab
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