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Early Neuron Alignment in Two-layer ReLU Networks with Small
  Initialization

Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization

24 July 2023
Hancheng Min
Enrique Mallada
René Vidal
    MLT
ArXivPDFHTML

Papers citing "Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization"

14 / 14 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
Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization
Ziqing Xu
Hancheng Min
Lachlan Ewen MacDonald
Jinqi Luo
Salma Tarmoun
Enrique Mallada
René Vidal
AI4CE
49
0
0
10 Mar 2025
Low-rank bias, weight decay, and model merging in neural networks
Ilja Kuzborskij
Yasin Abbasi-Yadkori
47
0
0
24 Feb 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
TSVD: Bridging Theory and Practice in Continual Learning with Pre-trained Models
TSVD: Bridging Theory and Practice in Continual Learning with Pre-trained Models
Liangzu Peng
Juan Elenter
Joshua Agterberg
Alejandro Ribeiro
René Vidal
VLM
CLL
44
1
0
01 Oct 2024
Get rich quick: exact solutions reveal how unbalanced initializations
  promote rapid feature learning
Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning
D. Kunin
Allan Raventós
Clémentine Dominé
Feng Chen
David Klindt
Andrew M. Saxe
Surya Ganguli
MLT
22
15
0
10 Jun 2024
Simplicity Bias of Two-Layer Networks beyond Linearly Separable Data
Simplicity Bias of Two-Layer Networks beyond Linearly Separable Data
Nikita Tsoy
Nikola Konstantinov
21
4
0
27 May 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
On the Convergence of Differentially-Private Fine-tuning: To Linearly
  Probe or to Fully Fine-tune?
On the Convergence of Differentially-Private Fine-tuning: To Linearly Probe or to Fully Fine-tune?
Shuqi Ke
Charlie Hou
Giulia Fanti
Sewoong Oh
23
4
0
29 Feb 2024
Directional Convergence Near Small Initializations and Saddles in
  Two-Homogeneous Neural Networks
Directional Convergence Near Small Initializations and Saddles in Two-Homogeneous Neural Networks
Akshay Kumar
Jarvis D. Haupt
ODL
19
6
0
14 Feb 2024
Understanding Unimodal Bias in Multimodal Deep Linear Networks
Understanding Unimodal Bias in Multimodal Deep Linear Networks
Yedi Zhang
Peter E. Latham
Andrew Saxe
15
5
0
01 Dec 2023
Learning a Neuron by a Shallow ReLU Network: Dynamics and Implicit Bias
  for Correlated Inputs
Learning a Neuron by a Shallow ReLU Network: Dynamics and Implicit Bias for Correlated Inputs
D. Chistikov
Matthias Englert
R. Lazic
MLT
30
12
0
10 Jun 2023
Implicit Regularization in Hierarchical Tensor Factorization and Deep
  Convolutional Neural Networks
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks
Noam Razin
Asaf Maman
Nadav Cohen
28
29
0
27 Jan 2022
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