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Implicit Bias in Deep Linear Classification: Initialization Scale vs
  Training Accuracy

Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy

13 July 2020
E. Moroshko
Suriya Gunasekar
Blake E. Woodworth
J. Lee
Nathan Srebro
Daniel Soudry
ArXivPDFHTML

Papers citing "Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy"

17 / 17 papers shown
Title
Optimization Insights into Deep Diagonal Linear Networks
Optimization Insights into Deep Diagonal Linear Networks
Hippolyte Labarrière
C. Molinari
Lorenzo Rosasco
S. Villa
Cristian Vega
76
0
0
21 Dec 2024
Compressible Dynamics in Deep Overparameterized Low-Rank Learning &
  Adaptation
Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation
Can Yaras
Peng Wang
Laura Balzano
Qing Qu
AI4CE
29
12
0
06 Jun 2024
Deconstructing Data Reconstruction: Multiclass, Weight Decay and General
  Losses
Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses
G. Buzaglo
Niv Haim
Gilad Yehudai
Gal Vardi
Yakir Oz
Yaniv Nikankin
Michal Irani
24
10
0
04 Jul 2023
Generalization on the Unseen, Logic Reasoning and Degree Curriculum
Generalization on the Unseen, Logic Reasoning and Degree Curriculum
Emmanuel Abbe
Samy Bengio
Aryo Lotfi
Kevin Rizk
LRM
28
48
0
30 Jan 2023
Magnitude and Angle Dynamics in Training Single ReLU Neurons
Magnitude and Angle Dynamics in Training Single ReLU Neurons
Sangmin Lee
Byeongsu Sim
Jong Chul Ye
MLT
94
6
0
27 Sep 2022
On the Implicit Bias in Deep-Learning Algorithms
On the Implicit Bias in Deep-Learning Algorithms
Gal Vardi
FedML
AI4CE
30
72
0
26 Aug 2022
Implicit Bias of Gradient Descent on Reparametrized Models: On
  Equivalence to Mirror Descent
Implicit Bias of Gradient Descent on Reparametrized Models: On Equivalence to Mirror Descent
Zhiyuan Li
Tianhao Wang
Jason D. Lee
Sanjeev Arora
32
27
0
08 Jul 2022
Reconstructing Training Data from Trained Neural Networks
Reconstructing Training Data from Trained Neural Networks
Niv Haim
Gal Vardi
Gilad Yehudai
Ohad Shamir
Michal Irani
27
132
0
15 Jun 2022
Thinking Outside the Ball: Optimal Learning with Gradient Descent for
  Generalized Linear Stochastic Convex Optimization
Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization
I Zaghloul Amir
Roi Livni
Nathan Srebro
22
6
0
27 Feb 2022
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
33
29
0
27 Jan 2022
Parallel Deep Neural Networks Have Zero Duality Gap
Parallel Deep Neural Networks Have Zero Duality Gap
Yifei Wang
Tolga Ergen
Mert Pilanci
73
10
0
13 Oct 2021
AIR-Net: Adaptive and Implicit Regularization Neural Network for Matrix
  Completion
AIR-Net: Adaptive and Implicit Regularization Neural Network for Matrix Completion
Zhemin Li
Tao Sun
Hongxia Wang
Bao Wang
42
6
0
12 Oct 2021
On Margin Maximization in Linear and ReLU Networks
On Margin Maximization in Linear and ReLU Networks
Gal Vardi
Ohad Shamir
Nathan Srebro
45
28
0
06 Oct 2021
A Theoretical Analysis of Fine-tuning with Linear Teachers
A Theoretical Analysis of Fine-tuning with Linear Teachers
Gal Shachaf
Alon Brutzkus
Amir Globerson
26
17
0
04 Jul 2021
Experiments with Rich Regime Training for Deep Learning
Experiments with Rich Regime Training for Deep Learning
Xinyan Li
A. Banerjee
18
2
0
26 Feb 2021
On the Implicit Bias of Initialization Shape: Beyond Infinitesimal
  Mirror Descent
On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent
Shahar Azulay
E. Moroshko
Mor Shpigel Nacson
Blake E. Woodworth
Nathan Srebro
Amir Globerson
Daniel Soudry
AI4CE
25
73
0
19 Feb 2021
When Will Gradient Methods Converge to Max-margin Classifier under ReLU
  Models?
When Will Gradient Methods Converge to Max-margin Classifier under ReLU Models?
Tengyu Xu
Yi Zhou
Kaiyi Ji
Yingbin Liang
13
19
0
12 Jun 2018
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