In Search of Lost Domain Generalization

2 July 2020

Papers citing "In Search of Lost Domain Generalization"

50 / 55 papers shown

Title
Robust Invariant Representation Learning by Distribution Extrapolation Kotaro Yoshida Konstantinos Slavakis OOD 52 0 0 22 May 2025
Exploring Generalized Gait Recognition: Reducing Redundancy and Noise within Indoor and Outdoor Datasets Qian Zhou Xianda Guo Jilong Wang Chuanfu Shen Zhongyuan Wang Hua Zou Qin Zou Chao Liang Chen Long Gang Wu 84 0 0 21 May 2025
Unsupervised Invariant Risk Minimization Yotam Norman Ron Meir OOD 60 0 0 18 May 2025
DGSAM: Domain Generalization via Individual Sharpness-Aware Minimization Youngjun Song Youngsik Hwang Jonghun Lee Heechang Lee Dong-Young Lim AAML 95 0 0 30 Mar 2025
Partial Transportability for Domain Generalization Kasra Jalaldoust Alexis Bellot Elias Bareinboim OOD 105 5 0 30 Mar 2025
Severing Spurious Correlations with Data Pruning Varun Mulchandani Jung-Eun Kim 390 0 0 24 Mar 2025
A Language Anchor-Guided Method for Robust Noisy Domain Generalization Zilin Dai Lehong Wang Fangzhou Lin Yidong Wang Zhigang Li Kazunori D Yamada Ziming Zhang Wang Lu 332 0 0 21 Mar 2025
What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization Xavier Thomas Deepti Ghadiyaram DiffM 139 0 0 09 Mar 2025
Predicting Practically? Domain Generalization for Predictive Analytics in Real-world Environments Hanyu Duan Yi Yang Ahmed Abbasi Kar Yan Tam OOD 142 0 0 05 Mar 2025
Gradient-Guided Annealing for Domain Generalization Aristotelis Ballas Christos Diou OOD 477 1 0 27 Feb 2025
Your contrastive learning problem is secretly a distribution alignment problem Zihao Chen Chi-Heng Lin Ran Liu Jingyun Xiao Eva L. Dyer 96 1 0 27 Feb 2025
Cross-Domain Continual Learning for Edge Intelligence in Wireless ISAC Networks Jingzhi Hu Xin Li Zhou Su Jun Luo 142 0 0 18 Feb 2025
DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization Jiaqi Wang Yuhang Zhou Zhixiong Zhang Qiguang Chen Yongqiang Chen James Cheng OODD 121 1 0 18 Feb 2025
GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution Shifts Sameer Ambekar Zehao Xiao Xiantong Zhen Cees G. M. Snoek OOD 130 0 0 15 Feb 2025
Achievable distributional robustness when the robust risk is only partially identified Julia Kostin Nicola Gnecco Fanny Yang 112 3 0 04 Feb 2025
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes Aodi Li Liansheng Zhuang Xiao Long Minghong Yao Shafei Wang 414 0 0 18 Dec 2024
Federated Domain Generalization with Label Smoothing and Balanced Decentralized Training Milad Soltany Farhad Pourpanah Mahdiyar Molahasani Michael A. Greenspan Ali Etemad FedML 127 1 0 16 Dec 2024
Meta Curvature-Aware Minimization for Domain Generalization Zhaoyu Chen Yiwen Ye Feilong Tang Yongsheng Pan Yong-quan Xia BDL 350 1 0 16 Dec 2024
Subgraph Aggregation for Out-of-Distribution Generalization on Graphs Bowen Liu Haoyang Li Shuning Wang Shuo Nie Shanghang Zhang OODD CML 124 0 0 29 Oct 2024
Deep Transfer Learning: Model Framework and Error Analysis Yuling Jiao Huazhen Lin Yuchen Luo Jerry Zhijian Yang 71 1 0 12 Oct 2024
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments Gaojie Jin Ronghui Mu Xinping Yi Xiaowei Huang Lijun Zhang 102 0 0 01 Jul 2024
Fine-Grained Domain Generalization with Feature Structuralization Wenlong Yu Dongyue Chen Qilong Wang Qinghua Hu 70 0 0 13 Jun 2024
Feature contamination: Neural networks learn uncorrelated features and fail to generalize Tianren Zhang Chujie Zhao Guanyu Chen Yizhou Jiang Feng Chen OOD MLT OODD 148 4 0 05 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 295 2 0 25 May 2024
Learning Invariant Causal Mechanism from Vision-Language Models Changwen Zheng Siyu Zhao Xingyu Zhang Jiangmeng Li Changwen Zheng Jingyao Wang CML BDL VLM 70 0 0 24 May 2024
Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models Yongxin Guo Zhenglin Cheng Xiaoying Tang Tao R. Lin Tao Lin MoE 90 8 0 23 May 2024
M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling Xudong Sun Nutan Chen Alexej Gossmann Yu Xing Carla Feistner ... Felix Drost Daniele Scarcella Lisa Beer Carsten Marr Carsten Marr 64 1 0 20 Mar 2024
Fine-tuning with Very Large Dropout Jianyu Zhang Léon Bottou 78 1 0 01 Mar 2024
Generalizable Sleep Staging via Multi-Level Domain Alignment Jiquan Wang Sha Zhao Haiteng Jiang Shijian Li Tao Li Gang Pan 94 10 0 13 Dec 2023
Gradual Domain Adaptation: Theory and Algorithms Yifei He Haoxiang Wang Bo Li Han Zhao CLL 94 6 0 20 Oct 2023
Diverse Target and Contribution Scheduling for Domain Generalization Shaocong Long Qianyu Zhou Soham Dan Lizhuang Ma Yuan Luo 106 8 0 28 Sep 2023
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration Hiroki Naganuma Ryuichiro Hataya Kotaro Yoshida Ioannis Mitliagkas OODD 146 3 0 17 Jul 2023
(Im)possibility of Collective Intelligence Krikamol Muandet 186 6 0 05 Jun 2022
Heterogeneous Domain Generalization via Domain Mixup Yufei Wang Haoliang Li Alex C. Kot OOD 50 143 0 11 Sep 2020
Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization Shujun Wang Lequan Yu Caizi Li Chi-Wing Fu Pheng-Ann Heng OOD 55 191 0 18 Jul 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Dan Hendrycks Steven Basart Norman Mu Saurav Kadavath Frank Wang ... Samyak Parajuli Mike Guo D. Song Jacob Steinhardt Justin Gilmer OOD 280 1,715 0 29 Jun 2020
Sequential Learning for Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 58 33 0 03 Apr 2020
Adversarial Domain Adaptation with Domain Mixup Minghao Xu Jian Zhang Bingbing Ni Teng Li Chengjie Wang Qi Tian Wenjun Zhang 44 446 0 04 Dec 2019
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization Shiori Sagawa Pang Wei Koh Tatsunori B. Hashimoto Percy Liang OOD 67 1,229 0 20 Nov 2019
Domain Generalization via Model-Agnostic Learning of Semantic Features Qi Dou Daniel Coelho De Castro Konstantinos Kamnitsas Ben Glocker OOD 99 688 0 29 Oct 2019
DIVA: Domain Invariant Variational Autoencoders Maximilian Ilse Jakub M. Tomczak Christos Louizos Max Welling DRL OOD 63 200 0 24 May 2019
A Generalization Error Bound for Multi-class Domain Generalization A. Deshmukh Yunwen Lei Srinagesh Sharma Ürün Dogan J. Cutler Clayton Scott 70 37 0 24 May 2019
Support and Invertibility in Domain-Invariant Representations Fredrik D. Johansson David Sontag Rajesh Ranganath 55 162 0 08 Mar 2019
Multi-component Image Translation for Deep Domain Generalization Mohammad Mahfujur Rahman Clinton Fookes Mahsa Baktash Sridha Sridharan OOD 87 70 0 21 Dec 2018
Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects Michael A. Alcorn Melvin Johnson Zhitao Gong Chengfei Wang Long Mai Naveen Ari Stella Laurenzo 82 299 0 28 Nov 2018
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling C. Perone P. Ballester Rodrigo C. Barros Julien Cohen-Adad OOD 61 208 0 14 Nov 2018
Domain Generalization with Domain-Specific Aggregation Modules A. DÍnnocente Barbara Caputo OOD 51 137 0 28 Sep 2018
Generalizing to Unseen Domains via Adversarial Data Augmentation Riccardo Volpi Hongseok Namkoong Ozan Sener John C. Duchi Vittorio Murino Silvio Savarese OOD 112 777 0 30 May 2018
Domain Generalization by Marginal Transfer Learning Gilles Blanchard A. Deshmukh Ürün Dogan Gyemin Lee Clayton Scott OOD 82 281 0 21 Nov 2017
Unified Deep Supervised Domain Adaptation and Generalization Saeid Motiian Marco Piccirilli Donald Adjeroh Gianfranco Doretto OOD 86 783 0 28 Sep 2017