ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2108.05574
  4. Cited By
Implicit Sparse Regularization: The Impact of Depth and Early Stopping
v1v2 (latest)

Implicit Sparse Regularization: The Impact of Depth and Early Stopping

12 August 2021
Jiangyuan Li
Thanh V. Nguyen
Chinmay Hegde
R. K. Wong
ArXiv (abs)PDFHTML

Papers citing "Implicit Sparse Regularization: The Impact of Depth and Early Stopping"

14 / 14 papers shown
Title
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries
Chris Kolb
T. Weber
Bernd Bischl
David Rügamer
326
1
0
04 Feb 2025
Mask in the Mirror: Implicit Sparsification
Mask in the Mirror: Implicit Sparsification
Tom Jacobs
R. Burkholz
173
4
0
19 Aug 2024
Towards Resolving the Implicit Bias of Gradient Descent for Matrix
  Factorization: Greedy Low-Rank Learning
Towards Resolving the Implicit Bias of Gradient Descent for Matrix Factorization: Greedy Low-Rank Learning
Zhiyuan Li
Yuping Luo
Kaifeng Lyu
92
130
0
17 Dec 2020
The Implicit Bias of Depth: How Incremental Learning Drives
  Generalization
The Implicit Bias of Depth: How Incremental Learning Drives Generalization
Daniel Gissin
Shai Shalev-Shwartz
Amit Daniely
AI4CE
90
81
0
26 Sep 2019
Implicit Regularization for Optimal Sparse Recovery
Implicit Regularization for Optimal Sparse Recovery
Tomas Vaskevicius
Varun Kanade
Patrick Rebeschini
49
103
0
11 Sep 2019
Gradient Dynamics of Shallow Univariate ReLU Networks
Gradient Dynamics of Shallow Univariate ReLU Networks
Francis Williams
Matthew Trager
Claudio Silva
Daniele Panozzo
Denis Zorin
Joan Bruna
62
80
0
18 Jun 2019
Kernel and Rich Regimes in Overparametrized Models
Blake E. Woodworth
Suriya Gunasekar
Pedro H. P. Savarese
E. Moroshko
Itay Golan
Jason D. Lee
Daniel Soudry
Nathan Srebro
80
364
0
13 Jun 2019
Implicit Regularization in Deep Matrix Factorization
Implicit Regularization in Deep Matrix Factorization
Sanjeev Arora
Nadav Cohen
Wei Hu
Yuping Luo
AI4CE
85
509
0
31 May 2019
Reconciling modern machine learning practice and the bias-variance
  trade-off
Reconciling modern machine learning practice and the bias-variance trade-off
M. Belkin
Daniel J. Hsu
Siyuan Ma
Soumik Mandal
242
1,655
0
28 Dec 2018
Implicit Bias of Gradient Descent on Linear Convolutional Networks
Implicit Bias of Gradient Descent on Linear Convolutional Networks
Suriya Gunasekar
Jason D. Lee
Daniel Soudry
Nathan Srebro
MDE
124
413
0
01 Jun 2018
Iterate averaging as regularization for stochastic gradient descent
Iterate averaging as regularization for stochastic gradient descent
Gergely Neu
Lorenzo Rosasco
MoMe
76
61
0
22 Feb 2018
Geometry of Optimization and Implicit Regularization in Deep Learning
Geometry of Optimization and Implicit Regularization in Deep Learning
Behnam Neyshabur
Ryota Tomioka
Ruslan Salakhutdinov
Nathan Srebro
AI4CE
67
133
0
08 May 2017
Understanding deep learning requires rethinking generalization
Understanding deep learning requires rethinking generalization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
HAI
345
4,636
0
10 Nov 2016
Exact solutions to the nonlinear dynamics of learning in deep linear
  neural networks
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
Andrew M. Saxe
James L. McClelland
Surya Ganguli
ODL
181
1,849
0
20 Dec 2013
1