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Meta Curvature-Aware Minimization for Domain Generalization

16 December 2024

Papers citing "Meta Curvature-Aware Minimization for Domain Generalization"

50 / 62 papers shown

Title
Domain Generalization through Meta-Learning: A Survey Arsham Gholamzadeh Khoee Yinan Yu R. Feldt AI4CE OOD 93 16 0 03 Apr 2024
Friendly Sharpness-Aware Minimization Tao Li Pan Zhou Zhengbao He Xinwen Cheng Xiaolin Huang AAML 86 17 0 19 Mar 2024
Gradient Alignment for Cross-Domain Face Anti-Spoofing B. Le Simon S. Woo CVBM 93 20 0 29 Feb 2024
CR-SAM: Curvature Regularized Sharpness-Aware Minimization Tao Wu Tie Luo D. C. Wunsch 82 3 0 21 Dec 2023
MADG: Margin-based Adversarial Learning for Domain Generalization Aveen Dayal B. VimalK. Linga Reddy Cenkeramaddi C. K. Mohan Abhinav Kumar Vineeth N. Balasubramanian OOD AAML 104 65 0 14 Nov 2023
Flatness-Aware Minimization for Domain Generalization Xingxuan Zhang Renzhe Xu Han Yu Yancheng Dong Pengfei Tian Peng Cu 97 22 0 20 Jul 2023
Treasure in Distribution: A Domain Randomization based Multi-Source Domain Generalization for 2D Medical Image Segmentation Ziyang Chen Yongsheng Pan Yiwen Ye Hengfei Cui Yong-quan Xia OOD 95 23 0 31 May 2023
Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment Yiyou Sun Yaojie Liu Xiaoming Liu Yixuan Li Wen-Sheng Chu OOD CVBM 94 63 0 23 Mar 2023
Sharpness-Aware Gradient Matching for Domain Generalization Pengfei Wang Zhaoxiang Zhang Zhen Lei Lei Zhang 73 98 0 18 Mar 2023
Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization Xingxuan Zhang Renzhe Xu Han Yu Hao Zou Peng Cui 83 42 0 03 Mar 2023
Domain Generalization via Ensemble Stacking for Face Presentation Attack Detection Usman Muhammad Jorma T. Laaksonen D. Beddiar Mourad Oussalah AAML CVBM 72 9 0 05 Jan 2023
On the Maximum Hessian Eigenvalue and Generalization Simran Kaur Jérémy E. Cohen Zachary Chase Lipton 126 43 0 21 Jun 2022
Towards Understanding Sharpness-Aware Minimization Maksym Andriushchenko Nicolas Flammarion AAML 135 142 0 13 Jun 2022
Domain Generalization by Mutual-Information Regularization with Pre-trained Models Junbum Cha Kyungjae Lee Sungrae Park Sanghyuk Chun OOD 118 139 0 21 Mar 2022
Surrogate Gap Minimization Improves Sharpness-Aware Training Juntang Zhuang Boqing Gong Liangzhe Yuan Huayu Chen Hartwig Adam Nicha Dvornek S. Tatikonda James Duncan Ting Liu 112 158 0 15 Mar 2022
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution Ananya Kumar Aditi Raghunathan Robbie Jones Tengyu Ma Percy Liang OODD 177 690 0 21 Feb 2022
Exploiting Domain-Specific Features to Enhance Domain Generalization Manh-Ha Bui Toan M. Tran Anh Tran D.Q. Phung OOD 111 136 0 18 Oct 2021
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization Alexandre Ramé Corentin Dancette Matthieu Cord OOD 146 211 0 07 Sep 2021
SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization Soroosh Shahtalebi Jean-Christophe Gagnon-Audet Touraj Laleh Mojtaba Faramarzi Kartik Ahuja Irina Rish 87 61 0 04 Jun 2021
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations Xiangning Chen Cho-Jui Hsieh Boqing Gong ViT 115 330 0 03 Jun 2021
SelfReg: Self-supervised Contrastive Regularization for Domain Generalization Daehee Kim Seunghyun Park Jinkyu Kim Jaekoo Lee OOD SSL 137 273 0 20 Apr 2021
Domain Generalization with MixStyle Kaiyang Zhou Yongxin Yang Yu Qiao Tao Xiang 155 765 0 05 Apr 2021
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 272 1,044 0 03 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 283 1,241 0 02 Mar 2021
ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks Jungmin Kwon Jeongseop Kim Hyunseong Park I. Choi 130 291 0 23 Feb 2021
SWAD: Domain Generalization by Seeking Flat Minima Junbum Cha Sanghyuk Chun Kyungjae Lee Han-Cheol Cho Seunghyun Park Yunsung Lee Sungrae Park MoMe 318 463 0 17 Feb 2021
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients Juntang Zhuang Tommy M. Tang Yifan Ding S. Tatikonda Nicha Dvornek X. Papademetris James S. Duncan ODL 234 526 0 15 Oct 2020
A Survey of Deep Meta-Learning Mike Huisman Jan N. van Rijn Aske Plaat 203 335 0 07 Oct 2020
Sharpness-Aware Minimization for Efficiently Improving Generalization Pierre Foret Ariel Kleiner H. Mobahi Behnam Neyshabur AAML 265 1,363 0 03 Oct 2020
Learning explanations that are hard to vary Giambattista Parascandolo Alexander Neitz Antonio Orvieto Luigi Gresele Bernhard Schölkopf FAtt 90 188 0 01 Sep 2020
Learning to Generate Novel Domains for Domain Generalization Kaiyang Zhou Yongxin Yang Timothy M. Hospedales Tao Xiang OOD 189 459 0 07 Jul 2020
Self-Challenging Improves Cross-Domain Generalization Zeyi Huang Haohan Wang Eric Xing Dong Huang OOD 107 638 0 05 Jul 2020
In Search of Lost Domain Generalization Ishaan Gulrajani David Lopez-Paz OOD 154 1,162 0 02 Jul 2020
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning Z. Yao A. Gholami Sheng Shen Mustafa Mustafa Kurt Keutzer Michael W. Mahoney ODL 168 287 0 01 Jun 2020
Cross-domain Face Presentation Attack Detection via Multi-domain Disentangled Representation Learning Guoqing Wang Hu Han Shiguang Shan Xilin Chen CVBM OOD 85 173 0 04 Apr 2020
Efficient Domain Generalization via Common-Specific Low-Rank Decomposition Vihari Piratla Praneeth Netrapalli Sunita Sarawagi OOD 90 221 0 28 Mar 2020
Domain Adaptive Ensemble Learning Kaiyang Zhou Yongxin Yang Yu Qiao Tao Xiang OOD 229 286 0 16 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 363 948 0 02 Mar 2020
MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data Quande Liu Qi Dou Lequan Yu Pheng Ann Heng OOD 125 288 0 09 Feb 2020
PyHessian: Neural Networks Through the Lens of the Hessian Z. Yao A. Gholami Kurt Keutzer Michael W. Mahoney ODL 89 305 0 16 Dec 2019
Adversarial Domain Adaptation with Domain Mixup Minghao Xu Jian Zhang Bingbing Ni Teng Li Chengjie Wang Qi Tian Wenjun Zhang 97 451 0 04 Dec 2019
Survey on Deep Neural Networks in Speech and Vision Systems M. Alam Manar D. Samad Lasitha Vidyaratne Alexander M. Glandon Khan M. Iftekharuddin 3DV VLM AI4TS 100 212 0 16 Aug 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 292 2,252 0 05 Jul 2019
Domain Agnostic Learning with Disentangled Representations Xingchao Peng Zijun Huang Ximeng Sun Kate Saenko OOD DRL 103 265 0 28 Apr 2019
Moment Matching for Multi-Source Domain Adaptation Xingchao Peng Qinxun Bai Xide Xia Zijun Huang Kate Saenko Bo Wang OOD 218 1,819 0 04 Dec 2018
Domain Generalization via Conditional Invariant Representation Ya Li Biwei Huang Xinmei Tian Tongliang Liu Dacheng Tao AI4CE OOD 144 266 0 23 Jul 2018
Recognition in Terra Incognita Sara Beery Grant Van Horn Pietro Perona 107 857 0 13 Jul 2018
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs T. Garipov Pavel Izmailov Dmitrii Podoprikhin Dmitry Vetrov A. Wilson UQCV 154 759 0 27 Feb 2018
Visualizing the Loss Landscape of Neural Nets Hao Li Zheng Xu Gavin Taylor Christoph Studer Tom Goldstein 293 1,905 0 28 Dec 2017
Domain Generalization by Marginal Transfer Learning Gilles Blanchard A. Deshmukh Ürün Dogan Gyemin Lee Clayton Scott OOD 104 287 0 21 Nov 2017