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Robust Learning with Jacobian Regularization

Robust Learning with Jacobian Regularization

7 August 2019
Judy Hoffman
Daniel A. Roberts
Sho Yaida
    OODAAML
ArXiv (abs)PDFHTML

Papers citing "Robust Learning with Jacobian Regularization"

50 / 118 papers shown
Nonconvex Penalized LAD Estimation in Partial Linear Models with DNNs: Asymptotic Analysis and Proximal Algorithms
Nonconvex Penalized LAD Estimation in Partial Linear Models with DNNs: Asymptotic Analysis and Proximal Algorithms
Lechen Feng
Haoran Li
Lucky Li
Xingqiu Zhao
122
0
0
26 Nov 2025
EIRES:Training-free AI-Generated Image Detection via Edit-Induced Reconstruction Error Shift
EIRES:Training-free AI-Generated Image Detection via Edit-Induced Reconstruction Error Shift
Wan Jiang
Jing Yan
Ruixuan Zhang
Xiaojing Chen
Changtao Miao
Zhe Li
C. D. Lin
AAML
155
1
0
29 Oct 2025
Exact Causal Attention with 10% Fewer Operations
Exact Causal Attention with 10% Fewer Operations
Dmitry Rybin
Yushun Zhang
Ding Tian
Zhihang Lin
Zhi-Quan Luo
CML
259
0
0
05 Oct 2025
Semantic Causality-Aware Vision-Based 3D Occupancy Prediction
Semantic Causality-Aware Vision-Based 3D Occupancy Prediction
Dubing Chen
Huan Zheng
Yucheng Zhou
Xianfei Li
Wenlong Liao
Tao He
Pai Peng
Jianbing Shen
3DPC
129
3
0
10 Sep 2025
Distance-informed Neural Processes
Distance-informed Neural Processes
Aishwarya Venkataramanan
Joachim Denzler
UQCVBDL
163
1
0
26 Aug 2025
Matrix-Free Two-to-Infinity and One-to-Two Norms Estimation
Matrix-Free Two-to-Infinity and One-to-Two Norms Estimation
Askar Tsyganov
Evgeny Frolov
S. Samsonov
Maxim Rakhuba
127
1
0
06 Aug 2025
Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation
Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation
Xiaohan Wang
Yu Zhang
Guibin Jiang
Bing Cheng
Wei Lin
149
1
0
01 Jun 2025
Meta-reinforcement learning with minimum attention
Meta-reinforcement learning with minimum attention
Pilhwa Lee
Shashank Gupta
OffRL
306
0
0
22 May 2025
FIESTA: Fisher Information-based Efficient Selective Test-time Adaptation
FIESTA: Fisher Information-based Efficient Selective Test-time Adaptation
Mohammadmahdi Honarmand
O. Mutlu
Parnian Azizian
Saimourya Surabhi
Dennis Paul Wall
TTA
267
0
0
29 Mar 2025
Deep Learning based discovery of Integrable Systems
Deep Learning based discovery of Integrable Systems
Shailesh Lal
Suvajit Majumder
E. Sobko
238
3
0
13 Mar 2025
Time-series attribution maps with regularized contrastive learning
Time-series attribution maps with regularized contrastive learningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Steffen Schneider
Rodrigo González Laiz
Anastasiia Filippova
Markus Frey
Mackenzie W. Mathis
BDLFAttCMLAI4TS
295
5
0
17 Feb 2025
Towards Unraveling and Improving Generalization in World Models
Qiaoyi Fang
Weiyu Du
Hang Wang
Junshan Zhang
OOD
244
1
0
03 Jan 2025
Adversarially robust generalization theory via Jacobian regularization
  for deep neural networks
Adversarially robust generalization theory via Jacobian regularization for deep neural networks
Dongya Wu
Xin Li
AAML
310
0
0
17 Dec 2024
Intermediate Outputs Are More Sensitive Than You Think
Intermediate Outputs Are More Sensitive Than You Think
Tao Huang
Qingyu Huang
Jiayang Meng
AAML
287
1
0
01 Dec 2024
Reference-Free Formula Drift with Reinforcement Learning: From Driving
  Data to Tire Energy-Inspired, Real-World Policies
Reference-Free Formula Drift with Reinforcement Learning: From Driving Data to Tire Energy-Inspired, Real-World PoliciesIEEE International Conference on Robotics and Automation (ICRA), 2024
Franck Djeumou
Michael Thompson
Makoto Suminaka
John Subosits
149
4
0
28 Oct 2024
Accelerate Neural Subspace-Based Reduced-Order Solver of Deformable
  Simulation by Lipschitz Optimization
Accelerate Neural Subspace-Based Reduced-Order Solver of Deformable Simulation by Lipschitz OptimizationACM Transactions on Graphics (TOG), 2024
Aoran Lyu
Shixian Zhao
Chuhua Xian
Zhihao Cen
Hongmin Cai
Guoxin Fang
AI4CE
185
7
0
05 Sep 2024
Emergence in non-neural models: grokking modular arithmetic via average gradient outer product
Emergence in non-neural models: grokking modular arithmetic via average gradient outer product
Neil Rohit Mallinar
Daniel Beaglehole
Libin Zhu
Adityanarayanan Radhakrishnan
Parthe Pandit
Misha Belkin
379
16
0
29 Jul 2024
Reliable edge machine learning hardware for scientific applications
Reliable edge machine learning hardware for scientific applications
Tommaso Baldi
Javier Campos
B. Hawks
J. Ngadiuba
Nhan Tran
...
Michael W. Mahoney
Vladimir Loncar
Philip C. Harris
Joshua C. Agar
Shuyu Qin
168
2
0
27 Jun 2024
Jacobian-Enhanced Neural Networks
Jacobian-Enhanced Neural Networks
Steven H. Berguin
DRL
385
0
0
13 Jun 2024
Spectral regularization for adversarially-robust representation learning
Spectral regularization for adversarially-robust representation learning
Sheng Yang
Jacob A. Zavatone-Veth
Cengiz Pehlevan
AAMLOOD
324
3
0
27 May 2024
The Impact of Geometric Complexity on Neural Collapse in Transfer
  Learning
The Impact of Geometric Complexity on Neural Collapse in Transfer Learning
Michael Munn
Benoit Dherin
Javier Gonzalvo
AAML
275
5
0
24 May 2024
MeMo: Meaningful, Modular Controllers via Noise Injection
MeMo: Meaningful, Modular Controllers via Noise Injection
Megan Tjandrasuwita
Jie Xu
Armando Solar-Lezama
Wojciech Matusik
294
1
0
24 May 2024
Nuclear Norm Regularization for Deep Learning
Nuclear Norm Regularization for Deep LearningNeural Information Processing Systems (NeurIPS), 2024
Christopher Scarvelis
Justin Solomon
203
5
0
23 May 2024
Jacobian Regularizer-based Neural Granger Causality
Jacobian Regularizer-based Neural Granger CausalityInternational Conference on Machine Learning (ICML), 2024
Wanqi Zhou
Shuanghao Bai
Shujian Yu
Qibin Zhao
Badong Chen
CML
265
9
0
14 May 2024
Oblique-MERF: Revisiting and Improving MERF for Oblique Photography
Oblique-MERF: Revisiting and Improving MERF for Oblique Photography
Xiaoyi Zeng
Kaiwen Song
Leyuan Yang
Bailin Deng
Juyong Zhang
258
1
0
15 Apr 2024
Coordinated Sparse Recovery of Label Noise
Coordinated Sparse Recovery of Label Noise
Yukun Yang
Naihao Wang
Haixin Yang
Ruirui Li
NoLa
266
0
0
07 Apr 2024
From Robustness to Improved Generalization and Calibration in
  Pre-trained Language Models
From Robustness to Improved Generalization and Calibration in Pre-trained Language Models
Josip Jukić
Jan Snajder
371
2
0
31 Mar 2024
Ensemble Adversarial Defense via Integration of Multiple Dispersed Low
  Curvature Models
Ensemble Adversarial Defense via Integration of Multiple Dispersed Low Curvature Models
Kaikang Zhao
Xi Chen
Wei Huang
Liuxin Ding
Xianglong Kong
Fan Zhang
AAML
239
1
0
25 Mar 2024
Towards Architecture-Agnostic Untrained Network Priors for Image
  Reconstruction with Frequency Regularization
Towards Architecture-Agnostic Untrained Network Priors for Image Reconstruction with Frequency RegularizationEuropean Conference on Computer Vision (ECCV), 2023
Yilin Liu
Yunkui Pang
Jiang-Ping Li
Yong Chen
P. Yap
387
2
0
15 Dec 2023
On the Quantification of Image Reconstruction Uncertainty without
  Training Data
On the Quantification of Image Reconstruction Uncertainty without Training Data
Sirui Bi
Victor Fung
Jiaxin Zhang
203
5
0
16 Nov 2023
Training Image Derivatives: Increased Accuracy and Universal Robustness
Training Image Derivatives: Increased Accuracy and Universal Robustness
V. Avrutskiy
372
0
0
21 Oct 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz RegularizationNeural Information Processing Systems (NeurIPS), 2023
Mahyar Fazlyab
Taha Entesari
Aniket Roy
Ramalingam Chellappa
AAML
700
21
0
29 Sep 2023
Certified Robust Models with Slack Control and Large Lipschitz Constants
Certified Robust Models with Slack Control and Large Lipschitz Constants
M. Losch
David Stutz
Bernt Schiele
Mario Fritz
185
4
0
12 Sep 2023
An Evaluation of Zero-Cost Proxies -- from Neural Architecture
  Performance to Model Robustness
An Evaluation of Zero-Cost Proxies -- from Neural Architecture Performance to Model Robustness
Jovita Lukasik
Michael Moeller
Margret Keuper
215
5
0
18 Jul 2023
Why Does Little Robustness Help? Understanding and Improving Adversarial
  Transferability from Surrogate Training
Why Does Little Robustness Help? Understanding and Improving Adversarial Transferability from Surrogate TrainingIEEE Symposium on Security and Privacy (IEEE S&P), 2023
Yechao Zhang
Shengshan Hu
Leo Yu Zhang
Junyu Shi
Minghui Li
Xiaogeng Liu
Wei Wan
Hai Jin
AAML
434
31
0
15 Jul 2023
Score-based Conditional Generation with Fewer Labeled Data by
  Self-calibrating Classifier Guidance
Score-based Conditional Generation with Fewer Labeled Data by Self-calibrating Classifier Guidance
Paul Kuo-Ming Huang
Si-An Chen
Hsuan-Tien Lin
270
1
0
09 Jul 2023
Adversarial Training Should Be Cast as a Non-Zero-Sum Game
Adversarial Training Should Be Cast as a Non-Zero-Sum GameInternational Conference on Learning Representations (ICLR), 2023
Avi Schwarzschild
Fabian Latorre
George J. Pappas
Hamed Hassani
Volkan Cevher
AAML
315
15
0
19 Jun 2023
Augment then Smooth: Reconciling Differential Privacy with Certified
  Robustness
Augment then Smooth: Reconciling Differential Privacy with Certified Robustness
Jiapeng Wu
Atiyeh Ashari Ghomi
David Glukhov
Jesse C. Cresswell
Franziska Boenisch
Nicolas Papernot
AAML
252
4
0
14 Jun 2023
An information-Theoretic Approach to Semi-supervised Transfer Learning
An information-Theoretic Approach to Semi-supervised Transfer Learning
Daniel Jakubovitz
David Uliel
Miguel R. D. Rodrigues
Raja Giryes
221
1
0
11 Jun 2023
Neural Architecture Design and Robustness: A Dataset
Neural Architecture Design and Robustness: A DatasetInternational Conference on Learning Representations (ICLR), 2023
Steffen Jung
Jovita Lukasik
Margret Keuper
OODAAML
198
22
0
11 Jun 2023
Fourier-DeepONet: Fourier-enhanced deep operator networks for full
  waveform inversion with improved accuracy, generalizability, and robustness
Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustnessComputer Methods in Applied Mechanics and Engineering (CMAME), 2023
Min Zhu
Shihang Feng
Youzuo Lin
Lu Lu
274
104
0
26 May 2023
On progressive sharpening, flat minima and generalisation
On progressive sharpening, flat minima and generalisation
L. MacDonald
Jack Valmadre
Simon Lucey
360
5
0
24 May 2023
The R-mAtrIx Net
The R-mAtrIx Net
Shailesh Lal
Suvajit Majumder
E. Sobko
101
6
0
14 Apr 2023
Bridging Optimal Transport and Jacobian Regularization by Optimal
  Trajectory for Enhanced Adversarial Defense
Bridging Optimal Transport and Jacobian Regularization by Optimal Trajectory for Enhanced Adversarial DefenseAsian Conference on Computer Vision (ACCV), 2023
B. Le
Shahroz Tariq
Simon S. Woo
AAML
168
0
0
21 Mar 2023
TempT: Temporal consistency for Test-time adaptation
TempT: Temporal consistency for Test-time adaptation
O. Mutlu
Mohammadmahdi Honarmand
Saimourya Surabhi
Dennis Paul Wall
177
8
0
19 Mar 2023
Defending against Adversarial Audio via Diffusion Model
Defending against Adversarial Audio via Diffusion ModelInternational Conference on Learning Representations (ICLR), 2023
Shutong Wu
Zhenghao Hu
Ming-Yu Liu
Weili Nie
Chaowei Xiao
DiffM
216
32
0
02 Mar 2023
Interpolation for Robust Learning: Data Augmentation on Wasserstein
  Geodesics
Interpolation for Robust Learning: Data Augmentation on Wasserstein GeodesicsInternational Conference on Machine Learning (ICML), 2023
Jiacheng Zhu
Jielin Qiu
Aritra Guha
Zhuolin Yang
X. Nguyen
Yue Liu
Ding Zhao
OOD
505
4
0
04 Feb 2023
Asymmetric Certified Robustness via Feature-Convex Neural Networks
Asymmetric Certified Robustness via Feature-Convex Neural NetworksNeural Information Processing Systems (NeurIPS), 2023
Samuel Pfrommer
Brendon G. Anderson
Julien Piet
Somayeh Sojoudi
AAML
238
9
0
03 Feb 2023
Learning PDE Solution Operator for Continuous Modeling of Time-Series
Learning PDE Solution Operator for Continuous Modeling of Time-Series
Yesom Park
Jaemoo Choi
Changyeon Yoon
Changhoon Song
Myung-joo Kang
AI4TSAI4CE
189
3
0
02 Feb 2023
Fourier Sensitivity and Regularization of Computer Vision Models
Fourier Sensitivity and Regularization of Computer Vision Models
K. Krishnamachari
See-Kiong Ng
Chuan-Sheng Foo
OOD
116
2
0
31 Jan 2023
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