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2001.00939
Cited By
Relative Flatness and Generalization
3 January 2020
Henning Petzka
Michael Kamp
Linara Adilova
C. Sminchisescu
Mario Boley
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Papers citing
"Relative Flatness and Generalization"
20 / 20 papers shown
Title
Layer-wise Adaptive Gradient Norm Penalizing Method for Efficient and Accurate Deep Learning
Sunwoo Lee
106
0
0
18 Mar 2025
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries
F. Jonske
M. Kim
Enrico Nasca
J. Evers
Johannes Haubold
...
F. Nensa
Michael Kamp
C. Seibold
Jan Egger
Jens Kleesiek
79
1
0
17 Feb 2025
Evolutionary Optimization of Model Merging Recipes
Takuya Akiba
Makoto Shing
Yujin Tang
Qi Sun
David Ha
MoMe
107
99
0
28 Jan 2025
Layerwise Change of Knowledge in Neural Networks
Xu Cheng
Lei Cheng
Zhaoran Peng
Yang Xu
Tian Han
Quanshi Zhang
KELM
FAtt
33
6
0
13 Sep 2024
Agnostic Sharpness-Aware Minimization
Van-Anh Nguyen
Quyen Tran
Tuan Truong
Thanh-Toan Do
Dinh Q. Phung
Trung Le
43
0
0
11 Jun 2024
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective
Nils Philipp Walter
Linara Adilova
Jilles Vreeken
Michael Kamp
AAML
45
2
0
27 May 2024
Generalization Measures for Zero-Shot Cross-Lingual Transfer
Saksham Bassi
Duygu Ataman
Kyunghyun Cho
29
0
0
24 Apr 2024
A PAC-Bayesian Link Between Generalisation and Flat Minima
Maxime Haddouche
Paul Viallard
Umut Simsekli
Benjamin Guedj
40
3
0
13 Feb 2024
Layer-wise Linear Mode Connectivity
Linara Adilova
Maksym Andriushchenko
Michael Kamp
Asja Fischer
Martin Jaggi
FedML
FAtt
MoMe
30
15
0
13 Jul 2023
An Adaptive Policy to Employ Sharpness-Aware Minimization
Weisen Jiang
Hansi Yang
Yu Zhang
James T. Kwok
AAML
81
31
0
28 Apr 2023
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks
Samyak Jain
Sravanti Addepalli
P. Sahu
Priyam Dey
R. Venkatesh Babu
MoMe
OOD
40
20
0
28 Feb 2023
The Geometry of Neural Nets' Parameter Spaces Under Reparametrization
Agustinus Kristiadi
Felix Dangel
Philipp Hennig
26
11
0
14 Feb 2023
Symmetries, flat minima, and the conserved quantities of gradient flow
Bo-Lu Zhao
I. Ganev
Robin G. Walters
Rose Yu
Nima Dehmamy
47
16
0
31 Oct 2022
Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel
Sungyub Kim
Si-hun Park
Kyungsu Kim
Eunho Yang
BDL
26
4
0
30 Sep 2022
Learning Gradient-based Mixup towards Flatter Minima for Domain Generalization
Danni Peng
Sinno Jialin Pan
29
2
0
29 Sep 2022
Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power
Binghui Li
Jikai Jin
Han Zhong
J. Hopcroft
Liwei Wang
OOD
76
27
0
27 May 2022
Anticorrelated Noise Injection for Improved Generalization
Antonio Orvieto
Hans Kersting
F. Proske
Francis R. Bach
Aurélien Lucchi
53
44
0
06 Feb 2022
When Do Flat Minima Optimizers Work?
Jean Kaddour
Linqing Liu
Ricardo M. A. Silva
Matt J. Kusner
ODL
11
58
0
01 Feb 2022
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
281
2,888
0
15 Sep 2016
Norm-Based Capacity Control in Neural Networks
Behnam Neyshabur
Ryota Tomioka
Nathan Srebro
119
577
0
27 Feb 2015
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