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Directional Convergence Near Small Initializations and Saddles in
  Two-Homogeneous Neural Networks

Directional Convergence Near Small Initializations and Saddles in Two-Homogeneous Neural Networks

14 February 2024
Akshay Kumar
Jarvis D. Haupt
    ODL
ArXivPDFHTML

Papers citing "Directional Convergence Near Small Initializations and Saddles in Two-Homogeneous Neural Networks"

7 / 7 papers shown
Title
An overview of condensation phenomenon in deep learning
An overview of condensation phenomenon in deep learning
Zhi-Qin John Xu
Yaoyu Zhang
Zhangchen Zhou
AI4CE
24
0
0
13 Apr 2025
Simplicity bias and optimization threshold in two-layer ReLU networks
Simplicity bias and optimization threshold in two-layer ReLU networks
Etienne Boursier
Nicolas Flammarion
24
2
0
03 Oct 2024
Can Implicit Bias Imply Adversarial Robustness?
Can Implicit Bias Imply Adversarial Robustness?
Hancheng Min
René Vidal
24
3
0
24 May 2024
Early Directional Convergence in Deep Homogeneous Neural Networks for Small Initializations
Early Directional Convergence in Deep Homogeneous Neural Networks for Small Initializations
Akshay Kumar
Jarvis D. Haupt
ODL
42
3
0
12 Mar 2024
Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escape, and Network Embedding
Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escape, and Network Embedding
Zhengqing Wu
Berfin Simsek
Francois Ged
ODL
32
0
0
08 Feb 2024
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
39
8
0
12 Mar 2023
On the Effective Number of Linear Regions in Shallow Univariate ReLU
  Networks: Convergence Guarantees and Implicit Bias
On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias
Itay Safran
Gal Vardi
Jason D. Lee
MLT
41
23
0
18 May 2022
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