Publication / RESOURCE PROFILE

HyQ: Hardware-Friendly Post-Training Quantization for CNN-Transformer Hybrid Networks

Electronic proceedings of IJCAI 2024

ijcai.orgPublished Aug 1, 2024
Visit source website ↗

Overview

Electronic proceedings of IJCAI 2024

Publication information

Publication title
HyQ: Hardware-Friendly Post-Training Quantization for CNN-Transformer Hybrid Networks
Authors
Nam Joon Kim, Jongho Lee, Hyun Kim
Published
Aug 1, 2024
Venue / journal
Thirty-Third International Joint Conference on Artificial Intelligence
DOI
10.24963/ijcai.2024/474 ↗
Publication source
ijcai.org · proceedings/2024/474 ↗
PDF
Read the publisher PDF ↗

Source: Publisher citation HTML metadata · observed Oct 11, 2026.

Publisher page information

Source page title
HyQ: Hardware-Friendly Post-Training Quantization for CNN-Transformer Hybrid Networks | IJCAI
Observed source URL
https://www.ijcai.org/proceedings/2024/474 ↗
Publisher canonical URL
https://www.ijcai.org/proceedings/2024/474 ↗
Source metadata observed
Oct 11, 2026

Recorded from the source page’s published HTML metadata. Publisher page language can differ from this directory’s English interface.

Source links & provenance

https://www.ijcai.org/proceedings/2024/474 ↗

Discovery references

References explain how this resource entered the collection. They do not represent an endorsement.

Explore related resources

Screenshot unavailableResource information and source links remain available. DeepIntoStreams/TSFM_Finance — reviewed source website screenshot
RepositoryChecked capture

DeepIntoStreams/TSFM_Finance

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
96 Authority 96 / 100 Cited by 2 resources in this directory 2 discovery sources Directory record updated: 2026-10-11 How scoring works →

Sign In

Register

Reset Password

Please enter your username or email address, you will receive a link to create a new password via email.