Robust Learning with Jacobian Regularization

7 August 2019

Papers citing "Robust Learning with Jacobian Regularization"

44 / 44 papers shown

Title
Spectral regularization for adversarially-robust representation learning Sheng Yang Jacob A. Zavatone-Veth Cengiz Pehlevan AAML OOD 54 0 0 27 May 2024
MeMo: Meaningful, Modular Controllers via Noise Injection Megan Tjandrasuwita Jie Xu Armando Solar-Lezama Wojciech Matusik 31 0 0 24 May 2024
From Robustness to Improved Generalization and Calibration in Pre-trained Language Models Josip Jukić Jan Snajder 53 0 0 31 Mar 2024
Training Image Derivatives: Increased Accuracy and Universal Robustness V. Avrutskiy 51 0 0 21 Oct 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization Mahyar Fazlyab Taha Entesari Aniket Roy Ramalingam Chellappa AAML 21 11 0 29 Sep 2023
Certified Robust Models with Slack Control and Large Lipschitz Constants M. Losch David Stutz Bernt Schiele Mario Fritz 19 4 0 12 Sep 2023
An Evaluation of Zero-Cost Proxies -- from Neural Architecture Performance to Model Robustness Jovita Lukasik Michael Moeller Margret Keuper 32 1 0 18 Jul 2023
Why Does Little Robustness Help? Understanding and Improving Adversarial Transferability from Surrogate Training Yechao Zhang Shengshan Hu Leo Yu Zhang Junyu Shi Minghui Li Xiaogeng Liu Wei Wan Hai Jin AAML 32 21 0 15 Jul 2023
The R-mAtrIx Net Shailesh Lal Suvajit Majumder E. Sobko 24 5 0 14 Apr 2023
TempT: Temporal consistency for Test-time adaptation O. Mutlu Mohammadmahdi Honarmand Saimourya Surabhi Dennis Paul Wall 35 6 0 19 Mar 2023
Learning PDE Solution Operator for Continuous Modeling of Time-Series Yesom Park Jaemoo Choi Changyeon Yoon Changhoon Song Myung-joo Kang AI4TS AI4CE 27 3 0 02 Feb 2023
Fourier Sensitivity and Regularization of Computer Vision Models K. Krishnamachari See-Kiong Ng Chuan-Sheng Foo OOD 34 2 0 31 Jan 2023
Generalizing and Improving Jacobian and Hessian Regularization Chenwei Cui Zehao Yan Guangsheng Liu Liangfu Lu AAML 32 1 0 01 Dec 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 39 6 0 09 Nov 2022
On minimal variations for unsupervised representation learning Vivien A. Cabannes A. Bietti Randall Balestriero SSL DRL 33 8 0 07 Nov 2022
Noise Injection Node Regularization for Robust Learning N. Levi I. Bloch M. Freytsis T. Volansky AI4CE 39 2 0 27 Oct 2022
Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints Jiajin Li Si-Jian Lin Jose H. Blanchet Viet Anh Nguyen OOD 47 11 0 04 Oct 2022
Why neural networks find simple solutions: the many regularizers of geometric complexity Benoit Dherin Michael Munn M. Rosca David Barrett 60 31 0 27 Sep 2022
Measuring and Controlling Split Layer Privacy Leakage Using Fisher Information Kiwan Maeng Chuan Guo Sanjay Kariyappa Ed Suh FedML 35 6 0 21 Sep 2022
Symmetry Regularization and Saturating Nonlinearity for Robust Quantization Sein Park Yeongsang Jang Eunhyeok Park MQ 26 2 0 31 Jul 2022
Models Out of Line: A Fourier Lens on Distribution Shift Robustness Sara Fridovich-Keil Brian Bartoldson James Diffenderfer B. Kailkhura P. Bremer OOD 56 0 0 08 Jul 2022
Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning Damien Teney Maxime Peyrard Ehsan Abbasnejad 43 28 0 06 Jul 2022
Learning Optimal Transport Between two Empirical Distributions with Normalizing Flows Florentin Coeurdoux N. Dobigeon P. Chainais OOD OT 37 7 0 04 Jul 2022
Exact Spectral Norm Regularization for Neural Networks Anton Johansson Claes Strannegård Niklas Engsner P. Mostad AAML 25 2 0 27 Jun 2022
AutoInit: Automatic Initialization via Jacobian Tuning Tianyu He Darshil Doshi Andrey Gromov 27 4 0 27 Jun 2022
On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity Vincent Szolnoky Viktor Andersson Balázs Kulcsár Rebecka Jörnsten 45 5 0 25 May 2022
Measuring the False Sense of Security Carlos Gomes AAML 27 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 26 3 0 05 Apr 2022
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies Zhuang Qian Kaizhu Huang Qiufeng Wang Xu-Yao Zhang OOD AAML ObjD 54 72 0 26 Mar 2022
Controlling the Complexity and Lipschitz Constant improves polynomial nets Zhenyu Zhu Fabian Latorre Grigorios G. Chrysos V. Cevher 27 10 0 10 Feb 2022
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization Xiaojun Xu Jacky Y. Zhang Evelyn Ma Danny Son Oluwasanmi Koyejo Bo Li 20 10 0 03 Feb 2022
The Geometric Occam's Razor Implicit in Deep Learning Benoit Dherin Micheal Munn David Barrett 22 6 0 30 Nov 2021
Improving Adversarial Robustness for Free with Snapshot Ensemble Yihao Wang AAML UQCV 17 1 0 07 Oct 2021
Stabilizing Equilibrium Models by Jacobian Regularization Shaojie Bai V. Koltun J. Zico Kolter 38 57 0 28 Jun 2021
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization Damien Teney Ehsan Abbasnejad Simon Lucey Anton Van Den Hengel 51 87 0 12 May 2021
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost Zhen Wu Lijun Wu Qi Meng Yingce Xia Shufang Xie Tao Qin Xinyu Dai Tie-Yan Liu 18 22 0 11 Apr 2021
Fair Mixup: Fairness via Interpolation Ching-Yao Chuang Youssef Mroueh 21 138 0 11 Mar 2021
On the human-recognizability phenomenon of adversarially trained deep image classifiers Jonathan W. Helland Nathan M. VanHoudnos AAML 27 4 0 18 Dec 2020
DSRNA: Differentiable Search of Robust Neural Architectures Ramtin Hosseini Xingyi Yang P. Xie OOD AAML 29 50 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 24 23 0 08 Dec 2020
Understanding and Mitigating Exploding Inverses in Invertible Neural Networks Jens Behrmann Paul Vicol Kuan-Chieh Wang Roger C. Grosse J. Jacobsen 23 93 0 16 Jun 2020
Uncertainty Estimation Using a Single Deep Deterministic Neural Network Joost R. van Amersfoort Lewis Smith Yee Whye Teh Y. Gal UQCV BDL 14 55 0 04 Mar 2020
Topologically Densified Distributions Christoph Hofer Florian Graf Marc Niethammer Roland Kwitt 27 15 0 12 Feb 2020
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 359 5,849 0 08 Jul 2016