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LNS-Madam: Low-Precision Training in Logarithmic Number System using
  Multiplicative Weight Update

LNS-Madam: Low-Precision Training in Logarithmic Number System using Multiplicative Weight Update

26 June 2021
Jiawei Zhao
Steve Dai
Rangharajan Venkatesan
Brian Zimmer
Mustafa Ali
Ming-Yu Liu
Brucek Khailany
B. Dally
Anima Anandkumar
    MQ
ArXivPDFHTML

Papers citing "LNS-Madam: Low-Precision Training in Logarithmic Number System using Multiplicative Weight Update"

5 / 5 papers shown
Title
Reducing the Barriers to Entry for Foundation Model Training
Reducing the Barriers to Entry for Foundation Model Training
Paolo Faraboschi
Ellis Giles
Justin Hotard
Konstanty Owczarek
Andrew Wheeler
27
4
0
12 Apr 2024
Guaranteed Approximation Bounds for Mixed-Precision Neural Operators
Guaranteed Approximation Bounds for Mixed-Precision Neural Operators
Renbo Tu
Colin White
Jean Kossaifi
Boris Bonev
Nikola B. Kovachki
Gennady Pekhimenko
Kamyar Azizzadenesheli
Anima Anandkumar
23
11
0
27 Jul 2023
Number Systems for Deep Neural Network Architectures: A Survey
Number Systems for Deep Neural Network Architectures: A Survey
Ghada Alsuhli
Vasileios Sakellariou
H. Saleh
Mahmoud Al-Qutayri
Baker Mohammad
T. Stouraitis
11
3
0
11 Jul 2023
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,950
0
20 Apr 2018
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
313
1,047
0
10 Feb 2017
1