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Progressive Feedforward Collapse of ResNet Training

Progressive Feedforward Collapse of ResNet Training

2 May 2024
Sicong Wang
Kuo Gai
Shihua Zhang
    AI4CE
ArXivPDFHTML

Papers citing "Progressive Feedforward Collapse of ResNet Training"

7 / 7 papers shown
Title
Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced
  Data
Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data
Hien Dang
Tho Tran
T. Nguyen
Hung The Tran
Nhat Ho
Hung Tran
32
28
0
01 Jan 2023
Perturbation Analysis of Neural Collapse
Perturbation Analysis of Neural Collapse
Tom Tirer
Haoxiang Huang
Jonathan Niles-Weed
AAML
30
23
0
29 Oct 2022
Linking Neural Collapse and L2 Normalization with Improved
  Out-of-Distribution Detection in Deep Neural Networks
Linking Neural Collapse and L2 Normalization with Improved Out-of-Distribution Detection in Deep Neural Networks
J. Haas
William Yolland
B. Rabus
OODD
41
14
0
17 Sep 2022
Nearest Class-Center Simplification through Intermediate Layers
Nearest Class-Center Simplification through Intermediate Layers
Ido Ben-Shaul
S. Dekel
35
26
0
21 Jan 2022
An Unconstrained Layer-Peeled Perspective on Neural Collapse
An Unconstrained Layer-Peeled Perspective on Neural Collapse
Wenlong Ji
Yiping Lu
Yiliang Zhang
Zhun Deng
Weijie J. Su
122
83
0
06 Oct 2021
A Mathematical Principle of Deep Learning: Learn the Geodesic Curve in
  the Wasserstein Space
A Mathematical Principle of Deep Learning: Learn the Geodesic Curve in the Wasserstein Space
Kuo Gai
Shihua Zhang
18
6
0
18 Feb 2021
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse
  in Imbalanced Training
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training
Cong Fang
Hangfeng He
Qi Long
Weijie J. Su
FAtt
117
164
0
29 Jan 2021
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