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. 1901.09491
  4. Cited By
Stiffness: A New Perspective on Generalization in Neural Networks

Stiffness: A New Perspective on Generalization in Neural Networks

28 January 2019
Stanislav Fort
Pawel Krzysztof Nowak
Stanislaw Jastrzebski
S. Narayanan
ArXivPDFHTML

Papers citing "Stiffness: A New Perspective on Generalization in Neural Networks"

15 / 15 papers shown
Title
Directions of Curvature as an Explanation for Loss of Plasticity
Directions of Curvature as an Explanation for Loss of Plasticity
Alex Lewandowski
Haruto Tanaka
Dale Schuurmans
Marlos C. Machado
11
5
0
30 Nov 2023
Understanding the Spectral Bias of Coordinate Based MLPs Via Training
  Dynamics
Understanding the Spectral Bias of Coordinate Based MLPs Via Training Dynamics
J. Lazzari
Xiuwen Liu
24
3
0
14 Jan 2023
Discovering and Explaining the Representation Bottleneck of Graph Neural
  Networks from Multi-order Interactions
Discovering and Explaining the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions
Fang Wu
Siyuan Li
Lirong Wu
Dragomir R. Radev
Stan Z. Li
27
2
0
15 May 2022
Discovering and Explaining the Representation Bottleneck of DNNs
Discovering and Explaining the Representation Bottleneck of DNNs
Huiqi Deng
Qihan Ren
Hao Zhang
Quanshi Zhang
37
59
0
11 Nov 2021
Visualizing the Emergence of Intermediate Visual Patterns in DNNs
Visualizing the Emergence of Intermediate Visual Patterns in DNNs
Mingjie Li
Shaobo Wang
Quanshi Zhang
16
11
0
05 Nov 2021
Fishr: Invariant Gradient Variances for Out-of-Distribution
  Generalization
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization
Alexandre Ramé
Corentin Dancette
Matthieu Cord
OOD
35
204
0
07 Sep 2021
Implicit Gradient Alignment in Distributed and Federated Learning
Implicit Gradient Alignment in Distributed and Federated Learning
Yatin Dandi
Luis Barba
Martin Jaggi
FedML
18
31
0
25 Jun 2021
A Random Matrix Theory Approach to Damping in Deep Learning
A Random Matrix Theory Approach to Damping in Deep Learning
Diego Granziol
Nicholas P. Baskerville
AI4CE
ODL
24
2
0
15 Nov 2020
A Bayesian Perspective on Training Speed and Model Selection
A Bayesian Perspective on Training Speed and Model Selection
Clare Lyle
Lisa Schut
Binxin Ru
Y. Gal
Mark van der Wilk
21
23
0
27 Oct 2020
On Robustness and Bias Analysis of BERT-based Relation Extraction
On Robustness and Bias Analysis of BERT-based Relation Extraction
Luoqiu Li
Xiang Chen
Hongbin Ye
Zhen Bi
Shumin Deng
Ningyu Zhang
Huajun Chen
24
18
0
14 Sep 2020
Learning explanations that are hard to vary
Learning explanations that are hard to vary
Giambattista Parascandolo
Alexander Neitz
Antonio Orvieto
Luigi Gresele
Bernhard Schölkopf
FAtt
13
178
0
01 Sep 2020
Interpreting and Disentangling Feature Components of Various Complexity
  from DNNs
Interpreting and Disentangling Feature Components of Various Complexity from DNNs
Jie Ren
Mingjie Li
Zexu Liu
Quanshi Zhang
CoGe
4
18
0
29 Jun 2020
Speedy Performance Estimation for Neural Architecture Search
Speedy Performance Estimation for Neural Architecture Search
Binxin Ru
Clare Lyle
Lisa Schut
M. Fil
Mark van der Wilk
Y. Gal
13
35
0
08 Jun 2020
Coherent Gradients: An Approach to Understanding Generalization in
  Gradient Descent-based Optimization
Coherent Gradients: An Approach to Understanding Generalization in Gradient Descent-based Optimization
S. Chatterjee
ODL
OOD
6
48
0
25 Feb 2020
The Break-Even Point on Optimization Trajectories of Deep Neural
  Networks
The Break-Even Point on Optimization Trajectories of Deep Neural Networks
Stanislaw Jastrzebski
Maciej Szymczak
Stanislav Fort
Devansh Arpit
Jacek Tabor
Kyunghyun Cho
Krzysztof J. Geras
30
154
0
21 Feb 2020
1