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Embedding Compression with Isotropic Iterative Quantization
v1v2 (latest)

Embedding Compression with Isotropic Iterative Quantization

AAAI Conference on Artificial Intelligence (AAAI), 2020
11 January 2020
Siyu Liao
Jie Chen
Yanzhi Wang
Qinru Qiu
Bo Yuan
    MQ
ArXiv (abs)PDFHTML

Papers citing "Embedding Compression with Isotropic Iterative Quantization"

9 / 9 papers shown
Vanishing Contributions: A Unified Approach to Smoothly Transition Neural Models into Compressed Form
Vanishing Contributions: A Unified Approach to Smoothly Transition Neural Models into Compressed Form
Lorenzo Nikiforos
Charalampos Antoniadis
Luciano Prono
F. Pareschi
R. Rovatti
Gianluca Setti
160
0
0
09 Oct 2025
Shielding Latent Face Representations From Privacy Attacks
Shielding Latent Face Representations From Privacy AttacksIEEE International Conference on Automatic Face & Gesture Recognition (FG), 2025
Arjun Ramesh Kaushik
Bharat Chandra Yalavarthi
Arun Ross
Vishnu Boddeti
Nalini Ratha
292
1
0
19 May 2025
Exploring the Impact of a Transformer's Latent Space Geometry on
  Downstream Task Performance
Exploring the Impact of a Transformer's Latent Space Geometry on Downstream Task Performance
Anna C. Marbut
John W. Chandler
Travis J. Wheeler
310
1
0
18 Jun 2024
Review of compressed embedding layers and their applications for
  recommender systems
Review of compressed embedding layers and their applications for recommender systems
Tamás Hajgató
203
0
0
23 Jun 2023
Stable Anisotropic Regularization
Stable Anisotropic RegularizationInternational Conference on Learning Representations (ICLR), 2023
William Rudman
Carsten Eickhoff
407
12
0
30 May 2023
Extracting Text Representations for Terms and Phrases in Technical
  Domains
Extracting Text Representations for Terms and Phrases in Technical DomainsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Francesco Fusco
Diego Antognini
211
1
0
25 May 2023
Rediscovering Hashed Random Projections for Efficient Quantization of
  Contextualized Sentence Embeddings
Rediscovering Hashed Random Projections for Efficient Quantization of Contextualized Sentence Embeddings
Ulf A. Hamster
Ji-Ung Lee
Alexander Geyken
Iryna Gurevych
243
0
0
13 Mar 2023
Reliable Measures of Spread in High Dimensional Latent Spaces
Reliable Measures of Spread in High Dimensional Latent SpacesInternational Conference on Machine Learning (ICML), 2022
Anna C. Marbut
Katy McKinney-Bock
Travis J. Wheeler
410
5
0
15 Dec 2022
Optimal Size-Performance Tradeoffs: Weighing PoS Tagger Models
Optimal Size-Performance Tradeoffs: Weighing PoS Tagger Models
Magnus Jacobsen
Mikkel H. Sorensen
Leon Derczynski
292
5
0
16 Apr 2021
1
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