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Exploring Generalization in Deep Learning

Exploring Generalization in Deep Learning

27 June 2017
Behnam Neyshabur
Srinadh Bhojanapalli
David A. McAllester
Nathan Srebro
    FAtt
ArXivPDFHTML

Papers citing "Exploring Generalization in Deep Learning"

50 / 305 papers shown
Title
Reimagining Linear Probing: Kolmogorov-Arnold Networks in Transfer
  Learning
Reimagining Linear Probing: Kolmogorov-Arnold Networks in Transfer Learning
Sheng Shen
Rabih Younes
21
1
0
12 Sep 2024
WaterMAS: Sharpness-Aware Maximization for Neural Network Watermarking
WaterMAS: Sharpness-Aware Maximization for Neural Network Watermarking
Carl De Sousa Trias
Mihai P. Mitrea
A. Fiandrotti
Marco Cagnazzo
Sumanta Chaudhuri
Enzo Tartaglione
AAML
38
1
0
05 Sep 2024
Universal Novelty Detection Through Adaptive Contrastive Learning
Universal Novelty Detection Through Adaptive Contrastive Learning
Hossein Mirzaei
Mojtaba Nafez
Mohammad Jafari
Mohammad Bagher Soltani
Mohammad Azizmalayeri
Jafar Habibi
Mohammad Sabokrou
M. Rohban
29
4
0
20 Aug 2024
RBLA: Rank-Based-LoRA-Aggregation for Fine-tuning Heterogeneous Models
  in FLaaS
RBLA: Rank-Based-LoRA-Aggregation for Fine-tuning Heterogeneous Models in FLaaS
Shuaijun Chen
Omid Tavallaie
Niousha Nazemi
Albert Y. Zomaya
39
3
0
16 Aug 2024
Quantum-secure multiparty deep learning
Quantum-secure multiparty deep learning
Kfir Sulimany
S. Vadlamani
R. Hamerly
Prahlad Iyengar
Dirk Englund
22
5
0
10 Aug 2024
Do Sharpness-based Optimizers Improve Generalization in Medical Image
  Analysis?
Do Sharpness-based Optimizers Improve Generalization in Medical Image Analysis?
Mohamed Hassan
Aleksandar Vakanski
Min Xian
AAML
MedIm
41
1
0
07 Aug 2024
Mission Impossible: A Statistical Perspective on Jailbreaking LLMs
Mission Impossible: A Statistical Perspective on Jailbreaking LLMs
Jingtong Su
Mingyu Lee
SangKeun Lee
40
8
0
02 Aug 2024
Quantum Supervised Learning
Quantum Supervised Learning
A. Macaluso
43
3
0
24 Jul 2024
Requiem for a drone: a machine-learning based framework for stealthy
  attacks against unmanned autonomous vehicles
Requiem for a drone: a machine-learning based framework for stealthy attacks against unmanned autonomous vehicles
K. Kim
Denizhan Kara
V. Paruchuri
Sibin Mohan
Greg Kimberly
Jae Kim
Josh D. Eckhardt
20
0
0
20 Jul 2024
Differentially Private Neural Network Training under Hidden State
  Assumption
Differentially Private Neural Network Training under Hidden State Assumption
Ding Chen
Chen Liu
FedML
29
0
0
11 Jul 2024
How Neural Networks Learn the Support is an Implicit Regularization
  Effect of SGD
How Neural Networks Learn the Support is an Implicit Regularization Effect of SGD
Pierfrancesco Beneventano
Andrea Pinto
Tomaso A. Poggio
MLT
32
1
0
17 Jun 2024
What Does Softmax Probability Tell Us about Classifiers Ranking Across
  Diverse Test Conditions?
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions?
Weijie Tu
Weijian Deng
Liang Zheng
Tom Gedeon
40
0
0
14 Jun 2024
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization
Jiaxin Deng
Junbiao Pang
Baochang Zhang
66
1
0
12 Jun 2024
Agnostic Sharpness-Aware Minimization
Agnostic Sharpness-Aware Minimization
Van-Anh Nguyen
Quyen Tran
Tuan Truong
Thanh-Toan Do
Dinh Q. Phung
Trung Le
46
0
0
11 Jun 2024
A Universal Class of Sharpness-Aware Minimization Algorithms
A Universal Class of Sharpness-Aware Minimization Algorithms
B. Tahmasebi
Ashkan Soleymani
Dara Bahri
Stefanie Jegelka
P. Jaillet
AAML
52
2
0
06 Jun 2024
Generalization Bound and New Algorithm for Clean-Label Backdoor Attack
Generalization Bound and New Algorithm for Clean-Label Backdoor Attack
Lijia Yu
Shuang Liu
Yibo Miao
Xiao-Shan Gao
Lijun Zhang
AAML
34
5
0
02 Jun 2024
GenKubeSec: LLM-Based Kubernetes Misconfiguration Detection,
  Localization, Reasoning, and Remediation
GenKubeSec: LLM-Based Kubernetes Misconfiguration Detection, Localization, Reasoning, and Remediation
Ehud Malul
Yair Meidan
D. Mimran
Yuval Elovici
A. Shabtai
38
4
0
30 May 2024
MMPareto: Boosting Multimodal Learning with Innocent Unimodal Assistance
MMPareto: Boosting Multimodal Learning with Innocent Unimodal Assistance
Yake Wei
Di Hu
34
13
0
28 May 2024
How many samples are needed to train a deep neural network?
How many samples are needed to train a deep neural network?
Pegah Golestaneh
Mahsa Taheri
Johannes Lederer
28
4
0
26 May 2024
Layer-Aware Analysis of Catastrophic Overfitting: Revealing the
  Pseudo-Robust Shortcut Dependency
Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency
Runqi Lin
Chaojian Yu
Bo Han
Hang Su
Tongliang Liu
AAML
32
3
0
25 May 2024
Deep linear networks for regression are implicitly regularized towards
  flat minima
Deep linear networks for regression are implicitly regularized towards flat minima
Pierre Marion
Lénaic Chizat
ODL
31
5
0
22 May 2024
Visualizing, Rethinking, and Mining the Loss Landscape of Deep Neural
  Networks
Visualizing, Rethinking, and Mining the Loss Landscape of Deep Neural Networks
Xin-Chun Li
Lan Li
De-Chuan Zhan
33
2
0
21 May 2024
Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks
Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks
Xin-Chun Li
Jinli Tang
Bo Zhang
Lan Li
De-Chuan Zhan
46
2
0
21 May 2024
Unlock the Power of Algorithm Features: A Generalization Analysis for
  Algorithm Selection
Unlock the Power of Algorithm Features: A Generalization Analysis for Algorithm Selection
Xingyu Wu
Yan Zhong
Jibin Wu
Yuxiao Huang
Sheng-hao Wu
Kay Chen Tan
25
0
0
18 May 2024
Sharpness-Aware Minimization for Evolutionary Feature Construction in
  Regression
Sharpness-Aware Minimization for Evolutionary Feature Construction in Regression
Hengzhe Zhang
Qi Chen
Bing Xue
Wolfgang Banzhaf
Mengjie Zhang
AAML
43
1
0
11 May 2024
PAC-Bayesian Generalization Bounds for Knowledge Graph Representation
  Learning
PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning
Jaejun Lee
Minsung Hwang
J. Whang
39
1
0
10 May 2024
Full error analysis of the random deep splitting method for nonlinear parabolic PDEs and PIDEs
Full error analysis of the random deep splitting method for nonlinear parabolic PDEs and PIDEs
Ariel Neufeld
Philipp Schmocker
Sizhou Wu
37
7
0
08 May 2024
General Place Recognition Survey: Towards Real-World Autonomy
General Place Recognition Survey: Towards Real-World Autonomy
Peng Yin
Jianhao Jiao
Shiqi Zhao
Lingyun Xu
Guoquan Huang
Howie Choset
Sebastian A. Scherer
Jianda Han
47
7
0
08 May 2024
Why is SAM Robust to Label Noise?
Why is SAM Robust to Label Noise?
Christina Baek
Zico Kolter
Aditi Raghunathan
NoLa
AAML
43
9
0
06 May 2024
Improved Generalization Bounds for Communication Efficient Federated
  Learning
Improved Generalization Bounds for Communication Efficient Federated Learning
Peyman Gholami
H. Seferoglu
FedML
AI4CE
23
6
0
17 Apr 2024
Information-Theoretic Generalization Bounds for Deep Neural Networks
Information-Theoretic Generalization Bounds for Deep Neural Networks
Haiyun He
Christina Lee Yu
35
4
0
04 Apr 2024
Revisiting Confidence Estimation: Towards Reliable Failure Prediction
Revisiting Confidence Estimation: Towards Reliable Failure Prediction
Fei Zhu
Xu-Yao Zhang
Zhen Cheng
Cheng-Lin Liu
UQCV
49
10
0
05 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
43
3
0
13 Feb 2024
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift
Renchunzi Xie
Ambroise Odonnat
Vasilii Feofanov
I. Redko
Jianfeng Zhang
Bo An
UQCV
77
1
0
17 Jan 2024
How Smooth Is Attention?
How Smooth Is Attention?
Valérie Castin
Pierre Ablin
Gabriel Peyré
AAML
40
9
0
22 Dec 2023
Doubly Perturbed Task Free Continual Learning
Doubly Perturbed Task Free Continual Learning
Byung Hyun Lee
Min-hwan Oh
Se Young Chun
21
3
0
20 Dec 2023
Critical Influence of Overparameterization on Sharpness-aware Minimization
Critical Influence of Overparameterization on Sharpness-aware Minimization
Sungbin Shin
Dongyeop Lee
Maksym Andriushchenko
Namhoon Lee
AAML
44
1
0
29 Nov 2023
On the Over-Memorization During Natural, Robust and Catastrophic
  Overfitting
On the Over-Memorization During Natural, Robust and Catastrophic Overfitting
Runqi Lin
Chaojian Yu
Bo Han
Tongliang Liu
31
7
0
13 Oct 2023
Towards Demystifying the Generalization Behaviors When Neural Collapse
  Emerges
Towards Demystifying the Generalization Behaviors When Neural Collapse Emerges
Peifeng Gao
Qianqian Xu
Yibo Yang
Peisong Wen
Huiyang Shao
Zhiyong Yang
Guohao Li
Qingming Huang
AAML
25
3
0
12 Oct 2023
ROMO: Retrieval-enhanced Offline Model-based Optimization
ROMO: Retrieval-enhanced Offline Model-based Optimization
Mingcheng Chen
Haoran Zhao
Yuxiang Zhao
Hulei Fan
Hongqiao Gao
Yong Yu
Zheng Tian
OffRL
18
1
0
11 Oct 2023
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust
  Generalization
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization
Jiancong Xiao
Ruoyu Sun
Zhimin Luo
AAML
32
6
0
09 Oct 2023
Language Modeling Is Compression
Language Modeling Is Compression
Grégoire Delétang
Anian Ruoss
Paul-Ambroise Duquenne
Elliot Catt
Tim Genewein
...
Wenliang Kevin Li
Matthew Aitchison
Laurent Orseau
Marcus Hutter
J. Veness
AI4CE
32
131
0
19 Sep 2023
Understanding Activation Patterns in Artificial Neural Networks by
  Exploring Stochastic Processes
Understanding Activation Patterns in Artificial Neural Networks by Exploring Stochastic Processes
S. Lehmler
Muhammad Saif-ur-Rehman
Tobias Glasmachers
Ioannis Iossifidis
21
0
0
01 Aug 2023
Lookbehind-SAM: k steps back, 1 step forward
Lookbehind-SAM: k steps back, 1 step forward
Gonçalo Mordido
Pranshu Malviya
A. Baratin
Sarath Chandar
AAML
45
1
0
31 Jul 2023
Sharpness Minimization Algorithms Do Not Only Minimize Sharpness To
  Achieve Better Generalization
Sharpness Minimization Algorithms Do Not Only Minimize Sharpness To Achieve Better Generalization
Kaiyue Wen
Zhiyuan Li
Tengyu Ma
FAtt
38
26
0
20 Jul 2023
Sharpness-Aware Graph Collaborative Filtering
Sharpness-Aware Graph Collaborative Filtering
Huiyuan Chen
Chin-Chia Michael Yeh
Yujie Fan
Yan Zheng
Junpeng Wang
Vivian Lai
Mahashweta Das
Hao Yang
26
5
0
18 Jul 2023
Practical Sharpness-Aware Minimization Cannot Converge All the Way to
  Optima
Practical Sharpness-Aware Minimization Cannot Converge All the Way to Optima
Dongkuk Si
Chulhee Yun
28
15
0
16 Jun 2023
Gibbs-Based Information Criteria and the Over-Parameterized Regime
Gibbs-Based Information Criteria and the Over-Parameterized Regime
Haobo Chen
Yuheng Bu
Greg Wornell
27
1
0
08 Jun 2023
Instance-dependent Noisy-label Learning with Graphical Model Based
  Noise-rate Estimation
Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation
Arpit Garg
Cuong C. Nguyen
Rafael Felix
Thanh-Toan Do
G. Carneiro
NoLa
33
1
0
31 May 2023
How to escape sharp minima with random perturbations
How to escape sharp minima with random perturbations
Kwangjun Ahn
Ali Jadbabaie
S. Sra
ODL
32
6
0
25 May 2023
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