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Sensitivity and Generalization in Neural Networks: an Empirical Study

Sensitivity and Generalization in Neural Networks: an Empirical Study

23 February 2018
Roman Novak
Yasaman Bahri
Daniel A. Abolafia
Jeffrey Pennington
Jascha Narain Sohl-Dickstein
    AAML
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Papers citing "Sensitivity and Generalization in Neural Networks: an Empirical Study"

50 / 87 papers shown
Title
Harmonic Loss Trains Interpretable AI Models
Harmonic Loss Trains Interpretable AI Models
David D. Baek
Ziming Liu
Riya Tyagi
Max Tegmark
97
2
0
03 Feb 2025
FedTLU: Federated Learning with Targeted Layer Updates
FedTLU: Federated Learning with Targeted Layer Updates
Jong-Ik Park
Carlee Joe-Wong
FedML
86
0
0
28 Jan 2025
Evolution and The Knightian Blindspot of Machine Learning
Evolution and The Knightian Blindspot of Machine Learning
Joel Lehman
Elliot Meyerson
Tarek El-Gaaly
Kenneth O. Stanley
Tarin Ziyaee
88
2
0
22 Jan 2025
Monomial Matrix Group Equivariant Neural Functional Networks
Monomial Matrix Group Equivariant Neural Functional Networks
Hoang V. Tran
Thieu N. Vo
Tho H. Tran
An T. Nguyen
Tan M. Nguyen
54
5
0
18 Sep 2024
BADM: Batch ADMM for Deep Learning
BADM: Batch ADMM for Deep Learning
Ouya Wang
Shenglong Zhou
Geoffrey Ye Li
ODL
50
1
0
30 Jun 2024
A Margin-based Multiclass Generalization Bound via Geometric Complexity
A Margin-based Multiclass Generalization Bound via Geometric Complexity
Michael Munn
Benoit Dherin
Javier Gonzalvo
UQCV
40
2
0
28 May 2024
Robust Survival Analysis with Adversarial Regularization
Robust Survival Analysis with Adversarial Regularization
Michael Potter
Stefano Maxenti
Michael Everett
AAML
24
0
0
26 Dec 2023
Neural Network Approximation for Pessimistic Offline Reinforcement
  Learning
Neural Network Approximation for Pessimistic Offline Reinforcement Learning
Di Wu
Yuling Jiao
Li Shen
Haizhao Yang
Xiliang Lu
OffRL
29
1
0
19 Dec 2023
Investigating Weight-Perturbed Deep Neural Networks With Application in
  Iris Presentation Attack Detection
Investigating Weight-Perturbed Deep Neural Networks With Application in Iris Presentation Attack Detection
Renu Sharma
Redwan Sony
Arun Ross
AAML
21
3
0
21 Nov 2023
Polynomially Over-Parameterized Convolutional Neural Networks Contain
  Structured Strong Winning Lottery Tickets
Polynomially Over-Parameterized Convolutional Neural Networks Contain Structured Strong Winning Lottery Tickets
A. D. Cunha
Francesco d’Amore
Emanuele Natale
MLT
27
1
0
16 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
35
7
0
13 Oct 2023
SkelEx and BoundEx: Natural Visualization of ReLU Neural Networks
SkelEx and BoundEx: Natural Visualization of ReLU Neural Networks
Pawel Pukowski
Haiping Lu
33
0
0
09 May 2023
When Deep Learning Meets Polyhedral Theory: A Survey
When Deep Learning Meets Polyhedral Theory: A Survey
Joey Huchette
Gonzalo Muñoz
Thiago Serra
Calvin Tsay
AI4CE
94
32
0
29 Apr 2023
Koopman-based generalization bound: New aspect for full-rank weights
Koopman-based generalization bound: New aspect for full-rank weights
Yuka Hashimoto
Sho Sonoda
Isao Ishikawa
Atsushi Nitanda
Taiji Suzuki
11
2
0
12 Feb 2023
On the Lipschitz Constant of Deep Networks and Double Descent
On the Lipschitz Constant of Deep Networks and Double Descent
Matteo Gamba
Hossein Azizpour
Mårten Björkman
33
7
0
28 Jan 2023
Neural networks learn to magnify areas near decision boundaries
Neural networks learn to magnify areas near decision boundaries
Jacob A. Zavatone-Veth
Sheng Yang
Julian Rubinfien
Cengiz Pehlevan
MLT
AI4CE
28
6
0
26 Jan 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
26
3
0
14 Jan 2023
Effects of Data Geometry in Early Deep Learning
Effects of Data Geometry in Early Deep Learning
Saket Tiwari
George Konidaris
79
7
0
29 Dec 2022
Context Label Learning: Improving Background Class Representations in
  Semantic Segmentation
Context Label Learning: Improving Background Class Representations in Semantic Segmentation
Zeju Li
Konstantinos Kamnitsas
Cheng Ouyang
Chen Chen
Ben Glocker
VLM
30
6
0
16 Dec 2022
Simplicity Bias in Transformers and their Ability to Learn Sparse
  Boolean Functions
Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions
S. Bhattamishra
Arkil Patel
Varun Kanade
Phil Blunsom
22
45
0
22 Nov 2022
Interpreting Neural Networks through the Polytope Lens
Interpreting Neural Networks through the Polytope Lens
Sid Black
Lee D. Sharkey
Léo Grinsztajn
Eric Winsor
Daniel A. Braun
...
Kip Parker
Carlos Ramón Guevara
Beren Millidge
Gabriel Alfour
Connor Leahy
FAtt
MILM
31
22
0
22 Nov 2022
Curved Representation Space of Vision Transformers
Curved Representation Space of Vision Transformers
Juyeop Kim
Junha Park
Songkuk Kim
Jongseok Lee
ViT
41
6
0
11 Oct 2022
Why neural networks find simple solutions: the many regularizers of
  geometric complexity
Why neural networks find simple solutions: the many regularizers of geometric complexity
Benoit Dherin
Michael Munn
M. Rosca
David Barrett
57
31
0
27 Sep 2022
Deep Double Descent via Smooth Interpolation
Deep Double Descent via Smooth Interpolation
Matteo Gamba
Erik Englesson
Mårten Björkman
Hossein Azizpour
63
11
0
21 Sep 2022
Data Provenance via Differential Auditing
Data Provenance via Differential Auditing
Xin Mu
Ming Pang
Feida Zhu
16
1
0
04 Sep 2022
The BUTTER Zone: An Empirical Study of Training Dynamics in Fully
  Connected Neural Networks
The BUTTER Zone: An Empirical Study of Training Dynamics in Fully Connected Neural Networks
Charles Edison Tripp
J. Perr-Sauer
L. Hayne
M. Lunacek
Jamil Gafur
AI4CE
23
0
0
25 Jul 2022
Blessing of Nonconvexity in Deep Linear Models: Depth Flattens the
  Optimization Landscape Around the True Solution
Blessing of Nonconvexity in Deep Linear Models: Depth Flattens the Optimization Landscape Around the True Solution
Jianhao Ma
S. Fattahi
44
5
0
15 Jul 2022
Standalone Neural ODEs with Sensitivity Analysis
Standalone Neural ODEs with Sensitivity Analysis
Rym Jaroudi
Lukáš Malý
Gabriel Eilertsen
B. Johansson
Jonas Unger
George Baravdish
23
0
0
27 May 2022
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
Overparametrization improves robustness against adversarial attacks: A
  replication study
Overparametrization improves robustness against adversarial attacks: A replication study
Ali Borji
AAML
19
1
0
20 Feb 2022
Perspective Transformation Layer
Perspective Transformation Layer
Nishant Khatri
Agnibh Dasgupta
Yucong Shen
Xinru Zhong
F. Shih
33
3
0
14 Jan 2022
On the Effectiveness of Neural Ensembles for Image Classification with
  Small Datasets
On the Effectiveness of Neural Ensembles for Image Classification with Small Datasets
Lorenzo Brigato
Luca Iocchi
UQCV
30
0
0
29 Nov 2021
Discovering and Explaining the Representation Bottleneck of DNNs
Discovering and Explaining the Representation Bottleneck of DNNs
Huiqi Deng
Qihan Ren
Hao Zhang
Quanshi Zhang
39
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
44
11
0
05 Nov 2021
Gradient representations in ReLU networks as similarity functions
Gradient representations in ReLU networks as similarity functions
Dániel Rácz
Balint Daroczy
FAtt
27
1
0
26 Oct 2021
In Search of Probeable Generalization Measures
In Search of Probeable Generalization Measures
Jonathan Jaegerman
Khalil Damouni
M. M. Ankaralı
Konstantinos N. Plataniotis
27
2
0
23 Oct 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
Stabilizing Equilibrium Models by Jacobian Regularization
Stabilizing Equilibrium Models by Jacobian Regularization
Shaojie Bai
V. Koltun
J. Zico Kolter
30
57
0
28 Jun 2021
A Universal Law of Robustness via Isoperimetry
A Universal Law of Robustness via Isoperimetry
Sébastien Bubeck
Mark Sellke
13
213
0
26 May 2021
Relative stability toward diffeomorphisms indicates performance in deep
  nets
Relative stability toward diffeomorphisms indicates performance in deep nets
Leonardo Petrini
Alessandro Favero
Mario Geiger
M. Wyart
OOD
38
15
0
06 May 2021
Analytical bounds on the local Lipschitz constants of ReLU networks
Analytical bounds on the local Lipschitz constants of ReLU networks
Trevor Avant
K. Morgansen
FAtt
21
12
0
29 Apr 2021
Is it enough to optimize CNN architectures on ImageNet?
Is it enough to optimize CNN architectures on ImageNet?
Lukas Tuggener
Jürgen Schmidhuber
Thilo Stadelmann
33
23
0
16 Mar 2021
Intraclass clustering: an implicit learning ability that regularizes
  DNNs
Intraclass clustering: an implicit learning ability that regularizes DNNs
Simon Carbonnelle
Christophe De Vleeschouwer
60
8
0
11 Mar 2021
Reframing Neural Networks: Deep Structure in Overcomplete
  Representations
Reframing Neural Networks: Deep Structure in Overcomplete Representations
Calvin Murdock
George Cazenavette
Simon Lucey
BDL
41
4
0
10 Mar 2021
DeepThermal: Combustion Optimization for Thermal Power Generating Units
  Using Offline Reinforcement Learning
DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning
Xianyuan Zhan
Haoran Xu
Yueying Zhang
Xiangyu Zhu
Honglei Yin
Yu Zheng
OffRL
AI4CE
40
67
0
23 Feb 2021
A case for new neural network smoothness constraints
A case for new neural network smoothness constraints
Mihaela Rosca
T. Weber
Arthur Gretton
S. Mohamed
AAML
35
48
0
14 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
25
6
0
09 Dec 2020
Optimism in the Face of Adversity: Understanding and Improving Deep
  Learning through Adversarial Robustness
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness
Guillermo Ortiz-Jiménez
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
29
48
0
19 Oct 2020
What About Inputing Policy in Value Function: Policy Representation and
  Policy-extended Value Function Approximator
What About Inputing Policy in Value Function: Policy Representation and Policy-extended Value Function Approximator
Hongyao Tang
Zhaopeng Meng
Jianye Hao
Chong Chen
D. Graves
...
Hangyu Mao
Wulong Liu
Yaodong Yang
Wenyuan Tao
Li Wang
OffRL
14
7
0
19 Oct 2020
Meta-Learning Requires Meta-Augmentation
Meta-Learning Requires Meta-Augmentation
Janarthanan Rajendran
A. Irpan
Eric Jang
24
93
0
10 Jul 2020
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