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Relative Flatness and Generalization
v1v2v3v4 (latest)

Relative Flatness and Generalization

Neural Information Processing Systems (NeurIPS), 2020
3 January 2020
Henning Petzka
Michael Kamp
Linara Adilova
C. Sminchisescu
Mario Boley
ArXiv (abs)PDFHTML

Papers citing "Relative Flatness and Generalization"

50 / 66 papers shown
Task Specific Sharpness Aware O-RAN Resource Management using Multi Agent Reinforcement Learning
Task Specific Sharpness Aware O-RAN Resource Management using Multi Agent Reinforcement LearningIEEE Transactions on Machine Learning in Communications and Networking (IEEE TMLCN), 2025
Fatemeh Lotfi
Hossein Rajoli
Fatemeh Afghah
135
0
0
19 Nov 2025
When Flatness Does (Not) Guarantee Adversarial Robustness
When Flatness Does (Not) Guarantee Adversarial Robustness
Nils Philipp Walter
Linara Adilova
Jilles Vreeken
Michael Kamp
189
4
0
16 Oct 2025
A Function Centric Perspective On Flat and Sharp Minima
A Function Centric Perspective On Flat and Sharp Minima
Israel Mason-Williams
Gabryel Mason-Williams
Helen Yannakoudakis
202
0
0
14 Oct 2025
AppForge: From Assistant to Independent Developer - Are GPTs Ready for Software Development?
AppForge: From Assistant to Independent Developer - Are GPTs Ready for Software Development?
Dezhi Ran
Yuan Cao
Mengzhou Wu
Simin Chen
Yuzhe Guo
...
Jialei Wei
Linyi Li
Wei Yang
Baishakhi Ray
Tao Xie
LLMAGALMELM
146
0
0
09 Oct 2025
Simple Optimizers for Convex Aligned Multi-Objective Optimization
Simple Optimizers for Convex Aligned Multi-Objective Optimization
Ben Kretzu
Karen Ullrich
Yonathan Efroni
225
1
0
06 Sep 2025
Curvature Learning for Generalization of Hyperbolic Neural Networks
Curvature Learning for Generalization of Hyperbolic Neural NetworksInternational Journal of Computer Vision (IJCV), 2025
Xiaomeng Fan
Yuwei Wu
Zhi Gao
Mehrtash Harandi
Yunde Jia
334
3
0
24 Aug 2025
Flatness After All?
Flatness After All?
N. Shoham
Liron Mor Yosef
H. Avron
258
0
0
21 Jun 2025
Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models
Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models
Ngoc-Quan Pham
Tuan Truong
Quyen Tran
T. H. Nguyen
Dinh Q. Phung
T. Le
337
3
0
08 Jun 2025
Layer-wise Adaptive Gradient Norm Penalizing Method for Efficient and Accurate Deep Learning
Layer-wise Adaptive Gradient Norm Penalizing Method for Efficient and Accurate Deep LearningKnowledge Discovery and Data Mining (KDD), 2024
Sunwoo Lee
445
3
0
18 Mar 2025
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries
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
365
5
0
17 Feb 2025
Evolutionary Optimization of Model Merging Recipes
Evolutionary Optimization of Model Merging Recipes
Takuya Akiba
Makoto Shing
Yujin Tang
Qi Sun
David Ha
MoMe
796
193
0
28 Jan 2025
Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning
Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation LearningAAAI Conference on Artificial Intelligence (AAAI), 2024
En Fu
Yanyan Hu
AI4TS
393
7
0
30 Dec 2024
A Method for Enhancing Generalization of Adam by Multiple Integrations
A Method for Enhancing Generalization of Adam by Multiple IntegrationsAAAI Conference on Artificial Intelligence (AAAI), 2024
Long Jin
Han Nong
Liangming Chen
Zhenming Su
288
2
0
17 Dec 2024
Sharpness-Aware Black-Box Optimization
Sharpness-Aware Black-Box Optimization
Feiyang Ye
Yueming Lyu
Xuehao Wang
Masashi Sugiyama
Yu Zhang
Ivor W. Tsang
AAML
501
5
0
16 Oct 2024
How Learning Dynamics Drive Adversarially Robust Generalization?
How Learning Dynamics Drive Adversarially Robust Generalization?
Yuelin Xu
Xiao Zhang
AAML
541
1
0
10 Oct 2024
Improving Generalization with Flat Hilbert Bayesian Inference
Improving Generalization with Flat Hilbert Bayesian Inference
Tuan Truong
Quyen Tran
Quan Pham-Ngoc
Nhat Ho
Dinh Q. Phung
T. Le
566
4
0
05 Oct 2024
Layerwise Change of Knowledge in Neural Networks
Layerwise Change of Knowledge in Neural NetworksInternational Conference on Machine Learning (ICML), 2024
Xu Cheng
Lei Cheng
Zhaoran Peng
Yang Xu
Tian Han
Quanshi Zhang
KELMFAtt
294
7
0
13 Sep 2024
Enhancing Sharpness-Aware Minimization by Learning Perturbation Radius
Enhancing Sharpness-Aware Minimization by Learning Perturbation Radius
Xuehao Wang
Weisen Jiang
Shuai Fu
Yu Zhang
AAML
291
1
0
15 Aug 2024
SuperEncoder: Towards Universal Neural Approximate Quantum State
  Preparation
SuperEncoder: Towards Universal Neural Approximate Quantum State Preparation
Yilun Zhao
Bingmeng Wang
Wenle Jiang
Xiwei Pan
Bing Li
Yinhe Han
Ying Wang
228
1
0
10 Aug 2024
Face Reconstruction Transfer Attack as Out-of-Distribution
  Generalization
Face Reconstruction Transfer Attack as Out-of-Distribution Generalization
Yoon Gyo Jung
Jaewoo Park
Xingbo Dong
Hojin Park
Andrew Beng Jin Teoh
Octavia Camps
AAML
273
2
0
02 Jul 2024
Agnostic Sharpness-Aware Minimization
Agnostic Sharpness-Aware Minimization
Van-Anh Nguyen
Quyen Tran
Tuan Truong
Thanh-Toan Do
Dinh Q. Phung
Trung Le
425
2
0
11 Jun 2024
Slicing Mutual Information Generalization Bounds for Neural Networks
Slicing Mutual Information Generalization Bounds for Neural Networks
Kimia Nadjahi
Kristjan Greenewald
Rickard Brüel-Gabrielsson
Justin Solomon
264
5
0
06 Jun 2024
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective
Nils Philipp Walter
Linara Adilova
Jilles Vreeken
Michael Kamp
AAML
306
3
0
27 May 2024
Generalization Measures for Zero-Shot Cross-Lingual Transfer
Generalization Measures for Zero-Shot Cross-Lingual Transfer
Saksham Bassi
Duygu Ataman
Kyunghyun Cho
245
0
0
24 Apr 2024
Singular-limit analysis of gradient descent with noise injection
Singular-limit analysis of gradient descent with noise injection
Anna Shalova
André Schlichting
M. Peletier
271
6
0
18 Apr 2024
Diversity-Aware Agnostic Ensemble of Sharpness Minimizers
Diversity-Aware Agnostic Ensemble of Sharpness Minimizers
Anh-Vu Bui
Vy Vo
Tung Pham
Dinh Q. Phung
Trung Le
FedMLUQCV
307
1
0
19 Mar 2024
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness
Towards Robust Out-of-Distribution Generalization Bounds via SharpnessInternational Conference on Learning Representations (ICLR), 2024
Yingtian Zou
Kenji Kawaguchi
Yingnan Liu
Jiashuo Liu
Yang Deng
Wynne Hsu
273
13
0
11 Mar 2024
A PAC-Bayesian Link Between Generalisation and Flat Minima
A PAC-Bayesian Link Between Generalisation and Flat Minima
Maxime Haddouche
Paul Viallard
Umut Simsekli
Benjamin Guedj
404
10
0
13 Feb 2024
Dataset Condensation Driven Machine Unlearning
Dataset Condensation Driven Machine Unlearning
Junaid Iqbal Khan
DD
323
1
0
31 Jan 2024
Evolutionary algorithms as an alternative to backpropagation for
  supervised training of Biophysical Neural Networks and Neural ODEs
Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs
James Hazelden
Yuhan Helena Liu
Eli Shlizerman
E. Shea-Brown
440
6
0
17 Nov 2023
Using Stochastic Gradient Descent to Smooth Nonconvex Functions:
  Analysis of Implicit Graduated Optimization with Optimal Noise Scheduling
Using Stochastic Gradient Descent to Smooth Nonconvex Functions: Analysis of Implicit Graduated Optimization with Optimal Noise Scheduling
Naoki Sato
Hideaki Iiduka
435
4
0
15 Nov 2023
Little is Enough: Improving Privacy by Sharing Labels in Federated
  Semi-Supervised Learning
Little is Enough: Improving Privacy by Sharing Labels in Federated Semi-Supervised LearningAAAI Conference on Artificial Intelligence (AAAI), 2023
Amr Abourayya
Jens Kleesiek
Kanishka Rao
Erman Ayday
Bharat Rao
Geoff Webb
Michael Kamp
FedML
325
1
0
09 Oct 2023
A simple connection from loss flatness to compressed neural representations
A simple connection from loss flatness to compressed neural representations
Shirui Chen
Stefano Recanatesi
E. Shea-Brown
323
0
0
03 Oct 2023
Flatness-Aware Minimization for Domain Generalization
Flatness-Aware Minimization for Domain GeneralizationIEEE International Conference on Computer Vision (ICCV), 2023
Xingxuan Zhang
Renzhe Xu
Han Yu
Yancheng Dong
Pengfei Tian
Peng Cu
339
36
0
20 Jul 2023
Layer-wise Linear Mode Connectivity
Layer-wise Linear Mode ConnectivityInternational Conference on Learning Representations (ICLR), 2023
Linara Adilova
Maksym Andriushchenko
Michael Kamp
Asja Fischer
Martin Jaggi
FedMLFAttMoMe
572
21
0
13 Jul 2023
FAM: Relative Flatness Aware Minimization
FAM: Relative Flatness Aware Minimization
Linara Adilova
Amr Abourayya
Jianning Li
Amin Dada
Henning Petzka
Jan Egger
Jens Kleesiek
Michael Kamp
ODL
245
3
0
05 Jul 2023
Unveiling the Hessian's Connection to the Decision Boundary
Unveiling the Hessian's Connection to the Decision Boundary
Mahalakshmi Sabanayagam
Freya Behrens
Urte Adomaityte
Anna Dawid
221
7
0
12 Jun 2023
How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective
How Sparse Can We Prune A Deep Network: A Fundamental Limit PerspectiveNeural Information Processing Systems (NeurIPS), 2023
Qiaozhe Zhang
Rui-qi Zhang
Jun Sun
Yingzhuang Liu
413
0
0
09 Jun 2023
Normalization Layers Are All That Sharpness-Aware Minimization Needs
Normalization Layers Are All That Sharpness-Aware Minimization NeedsNeural Information Processing Systems (NeurIPS), 2023
Maximilian Mueller
Tiffany J. Vlaar
David Rolnick
Matthias Hein
336
35
0
07 Jun 2023
Optimal Transport Model Distributional Robustness
Optimal Transport Model Distributional RobustnessNeural Information Processing Systems (NeurIPS), 2023
Van-Anh Nguyen
Trung Le
Anh Tuan Bui
Thanh-Toan Do
Dinh Q. Phung
OOD
326
7
0
07 Jun 2023
The Implicit Regularization of Dynamical Stability in Stochastic
  Gradient Descent
The Implicit Regularization of Dynamical Stability in Stochastic Gradient DescentInternational Conference on Machine Learning (ICML), 2023
Lei Wu
Weijie J. Su
MLT
363
39
0
27 May 2023
On progressive sharpening, flat minima and generalisation
On progressive sharpening, flat minima and generalisation
L. MacDonald
Jack Valmadre
Simon Lucey
487
6
0
24 May 2023
Improving Convergence and Generalization Using Parameter Symmetries
Improving Convergence and Generalization Using Parameter SymmetriesInternational Conference on Learning Representations (ICLR), 2023
Bo Zhao
Robert Mansel Gower
Robin Walters
Rose Yu
MoMe
530
23
0
22 May 2023
Sharpness & Shift-Aware Self-Supervised Learning
Sharpness & Shift-Aware Self-Supervised Learning
Ngoc N. Tran
S. Duong
Hoang Phan
Tung Pham
Dinh Q. Phung
Trung Le
SSL
224
1
0
17 May 2023
An Adaptive Policy to Employ Sharpness-Aware Minimization
An Adaptive Policy to Employ Sharpness-Aware MinimizationInternational Conference on Learning Representations (ICLR), 2023
Weisen Jiang
Hansi Yang
Yu Zhang
James T. Kwok
AAML
314
46
0
28 Apr 2023
Out-of-distribution Detection with Implicit Outlier Transformation
Out-of-distribution Detection with Implicit Outlier TransformationInternational Conference on Learning Representations (ICLR), 2023
Qizhou Wang
Junjie Ye
Yifan Zhang
Quanyu Dai
Marcus Kalander
Tongliang Liu
Jianye Hao
Bo Han
OODD
383
59
0
09 Mar 2023
Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves
  Generalization
Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves GeneralizationComputer Vision and Pattern Recognition (CVPR), 2023
Xingxuan Zhang
Renzhe Xu
Han Yu
Hao Zou
Peng Cui
355
71
0
03 Mar 2023
DART: Diversify-Aggregate-Repeat Training Improves Generalization of
  Neural Networks
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2023
Samyak Jain
Sravanti Addepalli
P. Sahu
Priyam Dey
R. Venkatesh Babu
MoMeOOD
380
27
0
28 Feb 2023
The Geometry of Neural Nets' Parameter Spaces Under Reparametrization
The Geometry of Neural Nets' Parameter Spaces Under ReparametrizationNeural Information Processing Systems (NeurIPS), 2023
Agustinus Kristiadi
Felix Dangel
Philipp Hennig
315
17
0
14 Feb 2023
A Modern Look at the Relationship between Sharpness and Generalization
A Modern Look at the Relationship between Sharpness and GeneralizationInternational Conference on Machine Learning (ICML), 2023
Maksym Andriushchenko
Francesco Croce
Maximilian Müller
Matthias Hein
Nicolas Flammarion
3DH
372
90
0
14 Feb 2023
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