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Harnessing Orthogonality to Train Low-Rank Neural Networks

Harnessing Orthogonality to Train Low-Rank Neural Networks

16 January 2024
D. Coquelin
Katharina Flügel
Marie Weiel
Nicholas Kiefer
Charlotte Debus
Achim Streit
Markus Goetz
ArXivPDFHTML

Papers citing "Harnessing Orthogonality to Train Low-Rank Neural Networks"

4 / 4 papers shown
Title
AB-Training: A Communication-Efficient Approach for Distributed Low-Rank
  Learning
AB-Training: A Communication-Efficient Approach for Distributed Low-Rank Learning
D. Coquelin
Katherina Flügel
Marie Weiel
Nicholas Kiefer
Muhammed Öz
Charlotte Debus
Achim Streit
Markus Goetz
29
0
0
02 May 2024
Low-rank lottery tickets: finding efficient low-rank neural networks via
  matrix differential equations
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations
Steffen Schotthöfer
Emanuele Zangrando
J. Kusch
Gianluca Ceruti
Francesco Tudisco
53
36
0
26 May 2022
Informer: Beyond Efficient Transformer for Long Sequence Time-Series
  Forecasting
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Haoyi Zhou
Shanghang Zhang
J. Peng
Shuai Zhang
Jianxin Li
Hui Xiong
Wan Zhang
AI4TS
167
3,873
0
14 Dec 2020
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
282
39,190
0
01 Sep 2014
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