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RAPQ: Rescuing Accuracy for Power-of-Two Low-bit Post-training Quantization

Electronic proceedings of IJCAI 2022

Research & Papers
ijcai.orgPublished Jul 16, 2022
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Overview

Electronic proceedings of IJCAI 2022

Publication information

Publication title
RAPQ: Rescuing Accuracy for Power-of-Two Low-bit Post-training Quantization
Authors
Hongyi Yao, Pu Li, Jian Cao, Xiangcheng Liu, Chenying Xie, Bingzhang Wang
Published
Jul 16, 2022
Venue / journal
Thirty-First International Joint Conference on Artificial Intelligence
DOI
10.24963/ijcai.2022/219 ↗
Publication source
ijcai.org · proceedings/2022/219 ↗
PDF
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Source: Publisher citation HTML metadata · observed Oct 11, 2026.

Publisher page information

Source page title
RAPQ: Rescuing Accuracy for Power-of-Two Low-bit Post-training Quantization | IJCAI
Observed source URL
https://www.ijcai.org/proceedings/2022/219 ↗
Publisher canonical URL
https://www.ijcai.org/proceedings/2022/219 ↗
Source metadata observed
Oct 11, 2026

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Source links & provenance

https://www.ijcai.org/proceedings/2022/219 ↗

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