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An analytic theory of shallow networks dynamics for hinge loss classification

An analytic theory of shallow networks dynamics for hinge loss classification

Franco Pellegrini
Giulio Biroli
ArXivPDFHTML

Papers citing "An analytic theory of shallow networks dynamics for hinge loss classification"

7 / 7 papers shown
Title
Understanding the Initial Condensation of Convolutional Neural Networks
Understanding the Initial Condensation of Convolutional Neural Networks
Zhangchen Zhou
Hanxu Zhou
Yuqing Li
Zhi-Qin John Xu
MLT
AI4CE
23
5
0
17 May 2023
Phase Diagram of Initial Condensation for Two-layer Neural Networks
Phase Diagram of Initial Condensation for Two-layer Neural Networks
Zheng Chen
Yuqing Li
Tao Luo
Zhaoguang Zhou
Z. Xu
MLT
AI4CE
46
8
0
12 Mar 2023
Empirical Phase Diagram for Three-layer Neural Networks with Infinite Width
Empirical Phase Diagram for Three-layer Neural Networks with Infinite Width
Hanxu Zhou
Qixuan Zhou
Zhenyuan Jin
Tao Luo
Yaoyu Zhang
Zhi-Qin John Xu
25
20
0
24 May 2022
Embedding Principle: a hierarchical structure of loss landscape of deep neural networks
Embedding Principle: a hierarchical structure of loss landscape of deep neural networks
Yaoyu Zhang
Yuqing Li
Zhongwang Zhang
Tao Luo
Z. Xu
21
21
0
30 Nov 2021
On the Equivalence between Neural Network and Support Vector Machine
On the Equivalence between Neural Network and Support Vector Machine
Yilan Chen
Wei Huang
Lam M. Nguyen
Tsui-Wei Weng
AAML
17
18
0
11 Nov 2021
Geometric compression of invariant manifolds in neural nets
Geometric compression of invariant manifolds in neural nets
J. Paccolat
Leonardo Petrini
Mario Geiger
Kevin Tyloo
M. Wyart
MLT
52
34
0
22 Jul 2020
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks
Blake Bordelon
Abdulkadir Canatar
C. Pehlevan
144
201
0
07 Feb 2020