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. 1706.08947
  4. Cited By
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 / 308 papers shown
Title
A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your
  Pre-training Effective?
A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective?
Hiroaki Mikami
Kenji Fukumizu
Shogo Murai
Shuji Suzuki
Yuta Kikuchi
Taiji Suzuki
S. Maeda
Kohei Hayashi
40
12
0
25 Aug 2021
Influence-guided Data Augmentation for Neural Tensor Completion
Influence-guided Data Augmentation for Neural Tensor Completion
Sejoon Oh
Sungchul Kim
Ryan A. Rossi
Srijan Kumar
22
10
0
23 Aug 2021
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering
Nairouz Mrabah
Mohamed Bouguessa
M. Touati
Riadh Ksantini
35
62
0
19 Jul 2021
Noise Stability Regularization for Improving BERT Fine-tuning
Noise Stability Regularization for Improving BERT Fine-tuning
Hang Hua
Xingjian Li
Dejing Dou
Chengzhong Xu
Jiebo Luo
19
43
0
10 Jul 2021
Activated Gradients for Deep Neural Networks
Activated Gradients for Deep Neural Networks
Mei Liu
Liangming Chen
Xiaohao Du
Long Jin
Mingsheng Shang
ODL
AI4CE
27
135
0
09 Jul 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey
Physics-Guided Deep Learning for Dynamical Systems: A Survey
Rui Wang
Rose Yu
AI4CE
PINN
39
64
0
02 Jul 2021
Deep Learning Through the Lens of Example Difficulty
Deep Learning Through the Lens of Example Difficulty
R. Baldock
Hartmut Maennel
Behnam Neyshabur
47
155
0
17 Jun 2021
What Does Rotation Prediction Tell Us about Classifier Accuracy under
  Varying Testing Environments?
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?
Weijian Deng
Stephen Gould
Liang Zheng
33
62
0
10 Jun 2021
Fractal Structure and Generalization Properties of Stochastic
  Optimization Algorithms
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms
A. Camuto
George Deligiannidis
Murat A. Erdogdu
Mert Gurbuzbalaban
Umut cSimcsekli
Lingjiong Zhu
30
29
0
09 Jun 2021
What Kinds of Functions do Deep Neural Networks Learn? Insights from
  Variational Spline Theory
What Kinds of Functions do Deep Neural Networks Learn? Insights from Variational Spline Theory
Rahul Parhi
Robert D. Nowak
MLT
38
70
0
07 May 2021
RATT: Leveraging Unlabeled Data to Guarantee Generalization
RATT: Leveraging Unlabeled Data to Guarantee Generalization
Saurabh Garg
Sivaraman Balakrishnan
J. Zico Kolter
Zachary Chase Lipton
28
30
0
01 May 2021
Generalization Guarantees for Neural Architecture Search with
  Train-Validation Split
Generalization Guarantees for Neural Architecture Search with Train-Validation Split
Samet Oymak
Mingchen Li
Mahdi Soltanolkotabi
AI4CE
OOD
36
13
0
29 Apr 2021
Relating Adversarially Robust Generalization to Flat Minima
Relating Adversarially Robust Generalization to Flat Minima
David Stutz
Matthias Hein
Bernt Schiele
OOD
32
65
0
09 Apr 2021
Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to
  Improve Generalization
Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization
Zeke Xie
Li-xin Yuan
Zhanxing Zhu
Masashi Sugiyama
19
29
0
31 Mar 2021
Adaptive Degradation Process with Deep Learning-Driven Trajectory
Adaptive Degradation Process with Deep Learning-Driven Trajectory
Li Yang
11
0
0
22 Mar 2021
Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural
  Networks by Pruning A Randomly Weighted Network
Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network
James Diffenderfer
B. Kailkhura
MQ
35
75
0
17 Mar 2021
ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning
  of Deep Neural Networks
ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks
Jungmin Kwon
Jeongseop Kim
Hyunseong Park
I. Choi
31
281
0
23 Feb 2021
Low Curvature Activations Reduce Overfitting in Adversarial Training
Low Curvature Activations Reduce Overfitting in Adversarial Training
Vasu Singla
Sahil Singla
David Jacobs
S. Feizi
AAML
32
45
0
15 Feb 2021
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform
  Stability
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability
Alec Farid
Anirudha Majumdar
27
34
0
12 Feb 2021
Stability of SGD: Tightness Analysis and Improved Bounds
Stability of SGD: Tightness Analysis and Improved Bounds
Yikai Zhang
Wenjia Zhang
Sammy Bald
Vamsi Pingali
Chao Chen
Mayank Goswami
MLT
19
36
0
10 Feb 2021
On the statistical complexity of quantum circuits
On the statistical complexity of quantum circuits
Kaifeng Bu
D. E. Koh
Lu Li
Qingxian Luo
Yaobo Zhang
51
43
0
15 Jan 2021
Advances in Electron Microscopy with Deep Learning
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
32
2
0
04 Jan 2021
Grounding Artificial Intelligence in the Origins of Human Behavior
Grounding Artificial Intelligence in the Origins of Human Behavior
Eleni Nisioti
Clément Moulin-Frier
AI4CE
39
5
0
15 Dec 2020
NeurIPS 2020 Competition: Predicting Generalization in Deep Learning
NeurIPS 2020 Competition: Predicting Generalization in Deep Learning
Yiding Jiang
Pierre Foret
Scott Yak
Daniel M. Roy
H. Mobahi
Gintare Karolina Dziugaite
Samy Bengio
Suriya Gunasekar
Isabelle M Guyon
Behnam Neyshabur Google Research
OOD
24
55
0
14 Dec 2020
Concept Generalization in Visual Representation Learning
Concept Generalization in Visual Representation Learning
Mert Bulent Sariyildiz
Yannis Kalantidis
Diane Larlus
Alahari Karteek
SSL
28
50
0
10 Dec 2020
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting
Hongxin Wei
Lei Feng
R. Wang
Bo An
NoLa
22
6
0
09 Dec 2020
On 1/n neural representation and robustness
On 1/n neural representation and robustness
Josue Nassar
Piotr A. Sokól
SueYeon Chung
K. Harris
Il Memming Park
AAML
OOD
24
23
0
08 Dec 2020
Chaos and Complexity from Quantum Neural Network: A study with Diffusion
  Metric in Machine Learning
Chaos and Complexity from Quantum Neural Network: A study with Diffusion Metric in Machine Learning
S. Choudhury
Ankan Dutta
Debisree Ray
22
21
0
16 Nov 2020
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
29
2
0
15 Nov 2020
Artificial Neural Variability for Deep Learning: On Overfitting, Noise
  Memorization, and Catastrophic Forgetting
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting
Zeke Xie
Fengxiang He
Shaopeng Fu
Issei Sato
Dacheng Tao
Masashi Sugiyama
21
59
0
12 Nov 2020
Deep Learning is Singular, and That's Good
Deep Learning is Singular, and That's Good
Daniel Murfet
Susan Wei
Biwei Huang
Hui Li
Jesse Gell-Redman
T. Quella
UQCV
24
26
0
22 Oct 2020
For self-supervised learning, Rationality implies generalization,
  provably
For self-supervised learning, Rationality implies generalization, provably
Yamini Bansal
Gal Kaplun
Boaz Barak
OOD
SSL
58
22
0
16 Oct 2020
A New Mask R-CNN Based Method for Improved Landslide Detection
A New Mask R-CNN Based Method for Improved Landslide Detection
Silvia Liberata Ullo
Amrita Mohan
A. Sebastianelli
Shaik Ejaz Ahamed
B. Kumar
R. Dwivedi
G. Sinha
8
80
0
04 Oct 2020
Sharpness-Aware Minimization for Efficiently Improving Generalization
Sharpness-Aware Minimization for Efficiently Improving Generalization
Pierre Foret
Ariel Kleiner
H. Mobahi
Behnam Neyshabur
AAML
68
1,276
0
03 Oct 2020
Improved generalization by noise enhancement
Improved generalization by noise enhancement
Takashi Mori
Masahito Ueda
10
3
0
28 Sep 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
31
79
0
17 Sep 2020
Analysis of Generalizability of Deep Neural Networks Based on the
  Complexity of Decision Boundary
Analysis of Generalizability of Deep Neural Networks Based on the Complexity of Decision Boundary
Shuyue Guan
Murray H. Loew
22
25
0
16 Sep 2020
Explicit Regularisation in Gaussian Noise Injections
Explicit Regularisation in Gaussian Noise Injections
A. Camuto
M. Willetts
Umut Simsekli
Stephen J. Roberts
Chris Holmes
23
55
0
14 Jul 2020
GShard: Scaling Giant Models with Conditional Computation and Automatic
  Sharding
GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
Dmitry Lepikhin
HyoukJoong Lee
Yuanzhong Xu
Dehao Chen
Orhan Firat
Yanping Huang
M. Krikun
Noam M. Shazeer
Z. Chen
MoE
20
1,106
0
30 Jun 2020
What Do Neural Networks Learn When Trained With Random Labels?
What Do Neural Networks Learn When Trained With Random Labels?
Hartmut Maennel
Ibrahim M. Alabdulmohsin
Ilya O. Tolstikhin
R. Baldock
Olivier Bousquet
Sylvain Gelly
Daniel Keysers
FedML
43
87
0
18 Jun 2020
Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks
Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks
Umut Simsekli
Ozan Sener
George Deligiannidis
Murat A. Erdogdu
44
55
0
16 Jun 2020
On the training dynamics of deep networks with $L_2$ regularization
On the training dynamics of deep networks with L2L_2L2​ regularization
Aitor Lewkowycz
Guy Gur-Ari
36
53
0
15 Jun 2020
The Curious Case of Convex Neural Networks
The Curious Case of Convex Neural Networks
S. Sivaprasad
Ankur Singh
Naresh Manwani
Vineet Gandhi
46
26
0
09 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
18
36
0
08 Jun 2020
Implicit Regularization in Deep Learning May Not Be Explainable by Norms
Implicit Regularization in Deep Learning May Not Be Explainable by Norms
Noam Razin
Nadav Cohen
24
155
0
13 May 2020
FlexSA: Flexible Systolic Array Architecture for Efficient Pruned DNN
  Model Training
FlexSA: Flexible Systolic Array Architecture for Efficient Pruned DNN Model Training
Sangkug Lym
M. Erez
13
25
0
27 Apr 2020
On the interplay between physical and content priors in deep learning
  for computational imaging
On the interplay between physical and content priors in deep learning for computational imaging
Mo Deng
Shuai Li
Iksung Kang
N. Fang
George Barbastathis
39
26
0
14 Apr 2020
COVID-MobileXpert: On-Device COVID-19 Patient Triage and Follow-up using
  Chest X-rays
COVID-MobileXpert: On-Device COVID-19 Patient Triage and Follow-up using Chest X-rays
Xin Li
Chengyin Li
D. Zhu
24
79
0
06 Apr 2020
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for
  Few-Shot Learning
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning
Jinhwan Seo
Hong G Jung
Seong-Whan Lee
SSL
12
39
0
01 Apr 2020
Dataless Model Selection with the Deep Frame Potential
Dataless Model Selection with the Deep Frame Potential
Calvin Murdock
Simon Lucey
33
6
0
30 Mar 2020
Previous
1234567
Next