Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1908.02729
Cited By
Robust Learning with Jacobian Regularization
7 August 2019
Judy Hoffman
Daniel A. Roberts
Sho Yaida
OOD
AAML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Robust Learning with Jacobian Regularization"
50 / 118 papers shown
Generalizing and Improving Jacobian and Hessian Regularization
Chenwei Cui
Zehao Yan
Guangsheng Liu
Liangfu Lu
AAML
209
1
0
01 Dec 2022
Improving Interpretability via Regularization of Neural Activation Sensitivity
Machine-mediated learning (ML), 2022
Ofir Moshe
Gil Fidel
Ron Bitton
A. Shabtai
AAML
AI4CE
124
7
0
16 Nov 2022
Stabilizing Machine Learning Prediction of Dynamics: Noise and Noise-inspired Regularization
Alexander Wikner
Joseph Harvey
M. Girvan
Brian R. Hunt
Andrew Pomerance
Thomas Antonsen
Edward Ott
223
7
0
09 Nov 2022
On minimal variations for unsupervised representation learning
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Vivien A. Cabannes
A. Bietti
Randall Balestriero
SSL
DRL
181
8
0
07 Nov 2022
Isometric Representations in Neural Networks Improve Robustness
Scientific Reports (Sci Rep), 2022
Kosio Beshkov
Jonas Verhellen
M. Lepperød
AAML
OOD
136
1
0
02 Nov 2022
Noise Injection Node Regularization for Robust Learning
International Conference on Learning Representations (ICLR), 2022
N. Levi
I. Bloch
M. Freytsis
T. Volansky
AI4CE
207
4
0
27 Oct 2022
Understanding Gradient Regularization in Deep Learning: Efficient Finite-Difference Computation and Implicit Bias
International Conference on Machine Learning (ICML), 2022
Ryo Karakida
Tomoumi Takase
Tomohiro Hayase
Kazuki Osawa
148
18
0
06 Oct 2022
Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints
Neural Information Processing Systems (NeurIPS), 2022
Jiajin Li
Si-Jian Lin
Jose H. Blanchet
Viet Anh Nguyen
OOD
206
13
0
04 Oct 2022
Why neural networks find simple solutions: the many regularizers of geometric complexity
Neural Information Processing Systems (NeurIPS), 2022
Benoit Dherin
Michael Munn
M. Rosca
David Barrett
359
44
0
27 Sep 2022
Understanding Open-Set Recognition by Jacobian Norm and Inter-Class Separation
Pattern Recognition (Pattern Recogn.), 2022
Jaewoo Park
Hojin Park
Eunju Jeong
Andrew Beng Jin Teoh
287
10
0
23 Sep 2022
Measuring and Controlling Split Layer Privacy Leakage Using Fisher Information
Kiwan Maeng
Chuan Guo
Sanjay Kariyappa
Ed Suh
FedML
267
6
0
21 Sep 2022
Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability
International Conference on Information and Knowledge Management (CIKM), 2022
Shahroz Tariq
B. Le
Simon S. Woo
AAML
AI4TS
140
6
0
24 Aug 2022
Regularizing Deep Neural Networks with Stochastic Estimators of Hessian Trace
Yucong Liu
Shixing Yu
Tong Lin
226
4
0
11 Aug 2022
Symmetry Regularization and Saturating Nonlinearity for Robust Quantization
European Conference on Computer Vision (ECCV), 2022
Sein Park
Yeongsang Jang
Eunhyeok Park
MQ
144
6
0
31 Jul 2022
Jacobian Norm with Selective Input Gradient Regularization for Improved and Interpretable Adversarial Defense
Deyin Liu
Lin Wu
Haifeng Zhao
F. Boussaïd
Bennamoun
Xianghua Xie
AAML
315
3
0
09 Jul 2022
Models Out of Line: A Fourier Lens on Distribution Shift Robustness
Neural Information Processing Systems (NeurIPS), 2022
Sara Fridovich-Keil
Brian Bartoldson
James Diffenderfer
B. Kailkhura
P. Bremer
OOD
202
2
0
08 Jul 2022
Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning
European Conference on Computer Vision (ECCV), 2022
Damien Teney
Maxime Peyrard
Ehsan Abbasnejad
286
32
0
06 Jul 2022
Learning Optimal Transport Between two Empirical Distributions with Normalizing Flows
Florentin Coeurdoux
N. Dobigeon
P. Chainais
OOD
OT
198
7
0
04 Jul 2022
Exact Spectral Norm Regularization for Neural Networks
Anton Johansson
Claes Strannegård
Niklas Engsner
P. Mostad
AAML
180
4
0
27 Jun 2022
AutoInit: Automatic Initialization via Jacobian Tuning
Tianyu He
Darshil Doshi
Andrey Gromov
214
4
0
27 Jun 2022
On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity
Neural Information Processing Systems (NeurIPS), 2022
Vincent Szolnoky
Viktor Andersson
Balázs Kulcsár
Rebecka Jörnsten
149
6
0
25 May 2022
Bandwidth Selection for Gaussian Kernel Ridge Regression via Jacobian Control
Oskar Allerbo
Rebecka Jörnsten
412
2
0
24 May 2022
Manifold Characteristics That Predict Downstream Task Performance
Ruan van der Merwe
Gregory Newman
E. Barnard
AAML
143
1
0
16 May 2022
Engineering flexible machine learning systems by traversing functionally-invariant paths
G. Raghavan
Bahey Tharwat
S. N. Hari
Dhruvil Satani
Matt Thomson
OOD
AI4CE
472
13
0
30 Apr 2022
Jacobian Ensembles Improve Robustness Trade-offs to Adversarial Attacks
International Conference on Artificial Neural Networks (ICANN), 2022
Kenneth T. Co
David Martínez-Rego
Zhongyuan Hau
Emil C. Lupu
AAML
152
5
0
19 Apr 2022
Measuring the False Sense of Security
Carlos Gomes
AAML
123
0
0
10 Apr 2022
Training-Free Robust Multimodal Learning via Sample-Wise Jacobian Regularization
Zhengqi Gao
Sucheng Ren
Zihui Xue
Siting Li
Hang Zhao
236
3
0
05 Apr 2022
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies
Pattern Recognition (Pattern Recogn.), 2022
Zhuang Qian
Kaizhu Huang
Qiufeng Wang
Xu-Yao Zhang
OOD
AAML
ObjD
248
94
0
26 Mar 2022
Learning Smooth Neural Functions via Lipschitz Regularization
International Conference on Computer Graphics and Interactive Techniques (SIGGRAPH), 2022
Hsueh-Ti Derek Liu
Francis Williams
Alec Jacobson
Sanja Fidler
Or Litany
352
116
0
16 Feb 2022
Controlling the Complexity and Lipschitz Constant improves polynomial nets
International Conference on Learning Representations (ICLR), 2022
Zhenyu Zhu
Fabian Latorre
Grigorios G. Chrysos
Volkan Cevher
117
12
0
10 Feb 2022
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization
International Conference on Machine Learning (ICML), 2022
Xiaojun Xu
Jacky Y. Zhang
Evelyn Ma
Danny Son
Oluwasanmi Koyejo
Yue Liu
234
13
0
03 Feb 2022
Neuron with Steady Response Leads to Better Generalization
Qiang Fu
Lun Du
Haitao Mao
Xu Chen
Wei Fang
Shi Han
Dongmei Zhang
184
5
0
30 Nov 2021
The Geometric Occam's Razor Implicit in Deep Learning
Benoit Dherin
Micheal Munn
David Barrett
255
8
0
30 Nov 2021
Critical Initialization of Wide and Deep Neural Networks through Partial Jacobians: General Theory and Applications
Darshil Doshi
Tianyu He
Andrey Gromov
359
10
0
23 Nov 2021
Improving Local Effectiveness for Global robust training
Jingyue Lu
M. P. Kumar
AAML
144
0
0
26 Oct 2021
Improving Adversarial Robustness for Free with Snapshot Ensemble
Yihao Wang
AAML
UQCV
163
1
0
07 Oct 2021
Noisy Feature Mixup
Soon Hoe Lim
N. Benjamin Erichson
Francisco Utrera
Winnie Xu
Michael W. Mahoney
AAML
376
39
0
05 Oct 2021
Stabilizing Equilibrium Models by Jacobian Regularization
International Conference on Machine Learning (ICML), 2021
Shaojie Bai
V. Koltun
J. Zico Kolter
268
74
0
28 Jun 2021
Local Disentanglement in Variational Auto-Encoders Using Jacobian
L
1
L_1
L
1
Regularization
Neural Information Processing Systems (NeurIPS), 2021
Travers Rhodes
Daniel D. Lee
DRL
218
21
0
05 Jun 2021
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization
Computer Vision and Pattern Recognition (CVPR), 2021
Damien Teney
Ehsan Abbasnejad
Simon Lucey
Anton Van Den Hengel
467
102
0
12 May 2021
Initializing LSTM internal states via manifold learning
Chaos (Chaos), 2021
Felix P. Kemeth
Tom S. Bertalan
N. Evangelou
Tianqi Cui
S. Malani
Ioannis G. Kevrekidis
181
10
0
27 Apr 2021
Jacobian Regularization for Mitigating Universal Adversarial Perturbations
International Conference on Artificial Neural Networks (ICANN), 2021
Kenneth T. Co
David Martínez-Rego
Emil C. Lupu
AAML
243
9
0
21 Apr 2021
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
Zhen Wu
Lijun Wu
Qi Meng
Ziheng Lu
Shufang Xie
Tao Qin
Xinyu Dai
Tie-Yan Liu
208
25
0
11 Apr 2021
Fair Mixup: Fairness via Interpolation
International Conference on Learning Representations (ICLR), 2021
Ching-Yao Chuang
Youssef Mroueh
207
152
0
11 Mar 2021
SVMax: A Feature Embedding Regularizer
Ahmed Taha
Alex Hanson
Abhinav Shrivastava
L. Davis
159
0
0
04 Mar 2021
Learning emergent PDEs in a learned emergent space
Felix P. Kemeth
Tom S. Bertalan
Thomas Thiem
Felix Dietrich
S. Moon
C. Laing
Ioannis G. Kevrekidis
AI4CE
160
7
0
23 Dec 2020
On the human-recognizability phenomenon of adversarially trained deep image classifiers
Jonathan W. Helland
Nathan M. VanHoudnos
AAML
157
4
0
18 Dec 2020
DSRNA: Differentiable Search of Robust Neural Architectures
Computer Vision and Pattern Recognition (CVPR), 2020
Ramtin Hosseini
Xingyi Yang
P. Xie
OOD
AAML
214
57
0
11 Dec 2020
On 1/n neural representation and robustness
Josue Nassar
Piotr A. Sokól
SueYeon Chung
K. Harris
Il Memming Park
AAML
OOD
142
27
0
08 Dec 2020
Linking average- and worst-case perturbation robustness via class selectivity and dimensionality
Matthew L. Leavitt
Ari S. Morcos
AAML
205
2
0
14 Oct 2020
Previous
1
2
3
Next
Page 2 of 3
