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Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal
  Attention, and Optimal Transport

Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport

27 May 2022
Lingkai Kong
Yuqing Wang
Molei Tao
    ODL
ArXivPDFHTML

Papers citing "Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport"

5 / 5 papers shown
Title
Spectral-factorized Positive-definite Curvature Learning for NN Training
Spectral-factorized Positive-definite Curvature Learning for NN Training
Wu Lin
Felix Dangel
Runa Eschenhagen
Juhan Bae
Richard E. Turner
Roger B. Grosse
47
0
0
10 Feb 2025
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction
  without Convolutions
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
277
3,622
0
24 Feb 2021
Fast and accurate optimization on the orthogonal manifold without
  retraction
Fast and accurate optimization on the orthogonal manifold without retraction
Pierre Ablin
Gabriel Peyré
51
26
0
15 Feb 2021
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train
  10,000-Layer Vanilla Convolutional Neural Networks
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks
Lechao Xiao
Yasaman Bahri
Jascha Narain Sohl-Dickstein
S. Schoenholz
Jeffrey Pennington
220
348
0
14 Jun 2018
A Differential Equation for Modeling Nesterov's Accelerated Gradient
  Method: Theory and Insights
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights
Weijie Su
Stephen P. Boyd
Emmanuel J. Candes
105
1,152
0
04 Mar 2015
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