Domain Generalization via Gradient Surgery

3 August 2021

Papers citing "Domain Generalization via Gradient Surgery"

48 / 48 papers shown

Title
Generative Classifier for Domain Generalization Shaocong Long Qianyu Zhou X. Li Chenhao Ying Yunhai Tong Lizhuang Ma Yuan Luo Dacheng Tao 41 0 0 03 Apr 2025
Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting Maochen Yang Zekun Li Jian Zhang Lei Qi Yinghuan Shi 38 0 0 23 Mar 2025
L2HCount:Generalizing Crowd Counting from Low to High Crowd Density via Density Simulation Guoliang Xu Jianqin Yin Ren Zhang Yonghao Dang Feng Zhou Bo Yu 60 0 0 17 Mar 2025
Gradient-Guided Annealing for Domain Generalization Aristotelis Ballas Christos Diou OOD 165 0 0 27 Feb 2025
Conflict-Aware Adversarial Training Zhiyu Xue Haohan Wang Yao Qin Ramtin Pedarsani AAML 25 0 0 21 Oct 2024
Crafting Distribution Shifts for Validation and Training in Single Source Domain Generalization Nikos Efthymiadis Giorgos Tolias Ondřej Chum OOD 20 0 0 29 Sep 2024
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments Gaojie Jin Ronghui Mu Xinping Yi Xiaowei Huang Lijun Zhang 67 0 0 01 Jul 2024
DataFreeShield: Defending Adversarial Attacks without Training Data Hyeyoon Lee Kanghyun Choi Dain Kwon Sunjong Park Mayoore S. Jaiswal Noseong Park Jonghyun Choi Jinho Lee 36 0 0 21 Jun 2024
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions? Weijie Tu Weijian Deng Liang Zheng Tom Gedeon 40 0 0 14 Jun 2024
Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients Farhad Pourpanah Mahdiyar Molahasani Milad Soltany Michael A. Greenspan Ali Etemad FedML OOD 83 2 0 25 May 2024
Gradient-Congruity Guided Federated Sparse Training Chris Xing Tian Yibing Liu Haoliang Li Ray C.C. Cheung Shiqi Wang FedML 28 1 0 02 May 2024
Resolve Domain Conflicts for Generalizable Remote Physiological Measurement Weiyu Sun Xinyu Zhang Hao Lu Ying Chen Yun Ge Xiao-Lin Huang Jie Yuan Yingcong Chen 31 11 0 11 Apr 2024
Single Domain Generalization for Crowd Counting Zhuoxuan Peng S.-H. Gary Chan 29 7 0 14 Mar 2024
Domain Adversarial Active Learning for Domain Generalization Classification Jianting Chen Ling Ding Yunxiao Yang Zaiyuan Di Yang Xiang OOD 37 0 0 10 Mar 2024
Overcoming Data Inequality across Domains with Semi-Supervised Domain Generalization Jinha Park Won-Yong Cho Taesup Kim 37 0 0 08 Mar 2024
GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation Fengming Lin Yan Xia Michael MacRaild Yash Deo Haoran Dou Qiongyao Liu Nina Cheng Nishant Ravikumar Alejandro F. Frangi 33 0 0 23 Feb 2024
Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off Futa Waseda Ching-Chun Chang Isao Echizen AAML 29 0 0 22 Feb 2024
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift Renchunzi Xie Ambroise Odonnat Vasilii Feofanov I. Redko Jianfeng Zhang Bo An UQCV 72 1 0 17 Jan 2024
Decoupled Prototype Learning for Reliable Test-Time Adaptation Guowei Wang Changxing Ding Wentao Tan Mingkui Tan VLM 29 2 0 15 Jan 2024
Preserving Silent Features for Domain Generalization Chujie Zhao Tianren Zhang Feng Chen 23 0 0 06 Jan 2024
Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization Yikang Wei Yahong Han 63 8 0 05 Jan 2024
Fast-Slow Test-Time Adaptation for Online Vision-and-Language Navigation Junyu Gao Xuan Yao Changsheng Xu TTA 27 3 0 22 Nov 2023
Diverse Target and Contribution Scheduling for Domain Generalization Shaocong Long Qianyu Zhou Soham Dan Lizhuang Ma Yuan Luo 56 8 0 28 Sep 2023
Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head Alan Q. Wang Minh Nguyen M. Sabuncu CML OOD 34 1 0 23 Sep 2023
Tackling the Non-IID Issue in Heterogeneous Federated Learning by Gradient Harmonization Xinyu Zhang Weiyu Sun Ying Chen FedML 28 5 0 13 Sep 2023
Understanding Hessian Alignment for Domain Generalization S. Hemati Guojun Zhang A. Estiri Xi Chen 25 10 0 22 Aug 2023
Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization Xiran Wang Jian Zhang Lei Qi Yinghuan Shi 19 19 0 18 Aug 2023
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization Jungsoo Lee Debasmit Das Jaegul Choo Sungha Choi TTA VLM 35 26 0 14 Aug 2023
Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained Vision-Language Models Kecheng Zheng Wei Wu Ruili Feng Kai Zhu Jiawei Liu Deli Zhao Zhengjun Zha Wei Chen Yujun Shen VLM 19 8 0 27 Jul 2023
Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation Jianan Fan Dongnan Liu Hang Chang Heng-Chiao Huang Mei Chen Weidong (Tom) Cai OOD 27 9 0 27 Jul 2023
GSMorph: Gradient Surgery for cine-MRI Cardiac Deformable Registration Haoran Dou N. Bi Luyi Han Yuhao Huang R. Mann Xin Yang Dong Ni Nishant Ravikumar Alejandro F. Frangi Yunzhi Huang MedIm 12 7 0 26 Jun 2023
Shape Guided Gradient Voting for Domain Generalization Jiaqi Xu Yuwang Wang Xuejin Chen 21 0 0 19 Jun 2023
CNN Feature Map Augmentation for Single-Source Domain Generalization Aristotelis Ballas Christos Diou OOD 19 3 0 26 May 2023
PGrad: Learning Principal Gradients For Domain Generalization Zhe Wang J. E. Grigsby Yanjun Qi OOD 29 10 0 02 May 2023
Sharpness-Aware Gradient Matching for Domain Generalization Pengfei Wang Zhaoxiang Zhang Zhen Lei Lei Zhang 8 82 0 18 Mar 2023
Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained Models Byunggyu Lew Donghyun Son Buru Chang 19 6 0 03 Feb 2023
Domain-General Crowd Counting in Unseen Scenarios Zhipeng Du Jiankang Deng Miaojing Shi OOD 21 27 0 05 Dec 2022
Rethinking the Number of Shots in Robust Model-Agnostic Meta-Learning Xiaoyue Duan Guoliang Kang Runqi Wang Shumin Han Shenjun Xue Tian Wang Baochang Zhang 24 2 0 28 Nov 2022
FIXED: Frustratingly Easy Domain Generalization with Mixup Wang Lu Jindong Wang Han Yu Lei Huang Xiang Zhang Yiqiang Chen Xingxu Xie 26 6 0 07 Nov 2022
Domain generalization Person Re-identification on Attention-aware multi-operation strategery Yingchun Guo Huan He Ye Zhu Yang Yu 35 0 0 19 Oct 2022
Learning Gradient-based Mixup towards Flatter Minima for Domain Generalization Danni Peng Sinno Jialin Pan 29 2 0 29 Sep 2022
Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling Zheqi Lv Feng Wang Shengyu Zhang Kun Kuang Hongxia Yang Fei Wu 29 8 0 19 Aug 2022
Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches A. Bhunia Viswanatha Reddy Gajjala Subhadeep Koley Rohit Kundu Aneeshan Sain Tao Xiang Yi-Zhe Song CLL 25 30 0 28 Mar 2022
AutoGPart: Intermediate Supervision Search for Generalizable 3D Part Segmentation Xueyi Liu Xiaomeng Xu Anyi Rao Chuang Gan L. Yi 3DPC 24 14 0 13 Mar 2022
ZeroPrompt: Scaling Prompt-Based Pretraining to 1,000 Tasks Improves Zero-Shot Generalization Hanwei Xu Yujun Chen Yulun Du Nan Shao Yanggang Wang Haiyu Li Zhilin Yang VLM LRM AI4CE 28 69 0 18 Jan 2022
Semi-Supervised Domain Generalization with Evolving Intermediate Domain Luojun Lin Han Xie Zhishu Sun Weijie Chen Wenxi Liu Yuanlong Yu Lei Zhang 19 10 0 19 Nov 2021
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization Alexandre Ramé Corentin Dancette Matthieu Cord OOD 38 204 0 07 Sep 2021
Privacy-Preserving Constrained Domain Generalization via Gradient Alignment Chris Xing Tian Haoliang Li Yufei Wang Shiqi Wang 13 4 0 14 May 2021