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On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model
  Compression

On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression

27 August 2019
Genta Indra Winata
Andrea Madotto
Jamin Shin
Elham J. Barezi
Pascale Fung
ArXivPDFHTML

Papers citing "On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression"

4 / 4 papers shown
Title
Matrix Compression via Randomized Low Rank and Low Precision
  Factorization
Matrix Compression via Randomized Low Rank and Low Precision Factorization
R. Saha
Varun Srivastava
Mert Pilanci
18
19
0
17 Oct 2023
Revisiting Offline Compression: Going Beyond Factorization-based Methods
  for Transformer Language Models
Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models
Mohammadreza Banaei
Klaudia Bałazy
Artur Kasymov
R. Lebret
Jacek Tabor
Karl Aberer
OffRL
16
0
0
08 Feb 2023
CarFi: Rider Localization Using Wi-Fi CSI
CarFi: Rider Localization Using Wi-Fi CSI
Sirajum Munir
Hongkai Chen
Shiwei Fang
Mahathir Monjur
Shan Lin
S. Nirjon
17
3
0
21 Dec 2022
One Country, 700+ Languages: NLP Challenges for Underrepresented
  Languages and Dialects in Indonesia
One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesia
Alham Fikri Aji
Genta Indra Winata
Fajri Koto
Samuel Cahyawijaya
Ade Romadhony
...
David Moeljadi
Radityo Eko Prasojo
Timothy Baldwin
Jey Han Lau
Sebastian Ruder
38
98
0
24 Mar 2022
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