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arXiv 2016

Publication: Effective Quantization Methods for Recurrent Neural Networks. Published Nov 30, 2016.

Research & Papers
arxiv.orgPublished Nov 30, 2016
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Overview

Publication: Effective Quantization Methods for Recurrent Neural Networks. Published Nov 30, 2016.

Publication information

Publication title
Effective Quantization Methods for Recurrent Neural Networks
Authors
Qinyao He, He Wen, Shuchang Zhou, Yuxin Wu, Cong Yao, Xinyu Zhou, Yuheng Zou
Published
Nov 30, 2016
Last publication revision
Nov 30, 2016
Subject areas
cs.LG, cs.CV
Publication source
arxiv.org · abs/1611.10176v1 ↗

Source: arXiv API · observed Oct 11, 2026.

Source links & provenance

https://arxiv.org/abs/1611.10176 ↗

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github.com

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

GitHub stars
31
Language
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Code license
Apache-2.0
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