Research paper / RESOURCE PROFILE

On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers

Publication: On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers. Published Aug 2021.

aclanthology.orgPublished Aug 2021
Visit source website ↗

Overview

Publication: On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers. Published Aug 2021.

Publication information

Publication title
On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers
Authors
Tianchu Ji, Shraddhan Jain, Michael Ferdman, Peter Milder, H. Andrew Schwartz, Niranjan Balasubramanian
Published
Aug 2021
Venue / journal
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
DOI
10.18653/v1/2021.findings-acl.363 ↗
Publication source
aclanthology.org · 2021.findings-acl.363 ↗
PDF
Read the publisher PDF ↗

Source: ACL Anthology citation metadata · observed Oct 11, 2026.

Source links & provenance

https://aclanthology.org/2021.findings-acl.363 ↗

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.