Improve Unsupervised Domain Adaptation with Mixup Training

3 January 2020

Papers citing "Improve Unsupervised Domain Adaptation with Mixup Training"

50 / 61 papers shown

Title
Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces Ruoqi Wang Haitao Wang Shaojie Guo Qiong Luo OOD 26 0 0 18 May 2025
Learning Fine-grained Domain Generalization via Hyperbolic State Space Hallucination Qi Bi Jingjun Yi Haolan Zhan Wei Ji Gui-Song Xia 66 1 0 10 Apr 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 218 0 0 21 Mar 2025
What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization Xavier Thomas Deepti Ghadiyaram DiffM 92 0 0 09 Mar 2025
Fine-Grained Domain Generalization with Feature Structuralization Wenlong Yu Dongyue Chen Qilong Wang Qinghua Hu 36 0 0 13 Jun 2024
Towards a Better Evaluation of Out-of-Domain Generalization Duhun Hwang Suhyun Kang Moonjung Eo Jimyeong Kim Wonjong Rhee 64 0 0 30 May 2024
Learning Invariant Causal Mechanism from Vision-Language Models Zeen Song Siyu Zhao Xingyu Zhang Jiangmeng Li Changwen Zheng Jingyao Wang CML BDL VLM 52 0 0 24 May 2024
Beyond Finite Data: Towards Data-free Out-of-distribution Generalization via Extrapolation Yijiang Li Sucheng Ren Weipeng Deng Yuzhi Xu Ying Gao Edith C.H. Ngai Haohan Wang OOD 51 1 0 08 Mar 2024
Preserving Silent Features for Domain Generalization Chujie Zhao Tianren Zhang Feng Chen 25 0 0 06 Jan 2024
Domain Generalization in Computational Pathology: Survey and Guidelines Mostafa Jahanifar M. Raza Kesi Xu T. Vuong R. Jewsbury ... Neda Zamanitajeddin Jin Tae Kwak S. Raza F. Minhas Nasir M. Rajpoot OOD 36 17 0 30 Oct 2023
Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions Shiyu Shen Bin Pan Tianyang Shi Tao Li Zhenwei Shi BDL OOD 40 1 0 25 Oct 2023
Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts Kaican Li Yifan Zhang Lanqing Hong Zhenguo Li Nevin L. Zhang OOD 46 0 0 10 Oct 2023
Diverse Target and Contribution Scheduling for Domain Generalization Shaocong Long Qianyu Zhou Soham Dan Lizhuang Ma Yuan Luo 62 8 0 28 Sep 2023
INSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain Generalization Xi Yu Huan-Hsin Tseng Shinjae Yoo Haibin Ling Yuewei Lin OOD 34 10 0 08 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 95 1 0 17 Jul 2023
Shape Guided Gradient Voting for Domain Generalization Jiaqi Xu Yuwang Wang Xuejin Chen 29 0 0 19 Jun 2023
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization Ramnath Kumar Kushal Majmundar Dheeraj M. Nagaraj A. Suggala ODL 37 6 0 15 Jun 2023
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization Yunze Tong Junkun Yuan Min Zhang Di-hua Zhu Keli Zhang Fei Wu Kun Kuang 41 7 0 25 May 2023
SFP: Spurious Feature-targeted Pruning for Out-of-Distribution Generalization Yingchun Wang Jingcai Guo Yi Liu Song Guo Weizhan Zhang Xiangyong Cao Qinghua Zheng AAML OODD 45 11 0 19 May 2023
ERM++: An Improved Baseline for Domain Generalization Piotr Teterwak Kuniaki Saito Theodoros Tsiligkaridis Kate Saenko Bryan A. Plummer OOD 46 9 0 04 Apr 2023
CNNs with Multi-Level Attention for Domain Generalization Aristotelis Ballas Christos Diou OOD 29 6 0 02 Apr 2023
Finding Competence Regions in Domain Generalization Jens Müller Stefan T. Radev R. Schmier Felix Dräxler Carsten Rother Ullrich Kothe 37 4 0 17 Mar 2023
Domain Generalization via Nuclear Norm Regularization Zhenmei Shi Yifei Ming Ying Fan Frederic Sala Yingyu Liang 30 12 0 13 Mar 2023
Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization Sangrok Lee Jongseong Bae Ha Young Kim OOD 43 26 0 04 Mar 2023
Improving Domain Generalization with Domain Relations Huaxiu Yao Xinyu Yang Xinyi Pan Shengchao Liu Pang Wei Koh Chelsea Finn OOD AI4CE 57 8 0 06 Feb 2023
Aggregation of Disentanglement: Reconsidering Domain Variations in Domain Generalization Daoan Zhang Mingkai Chen Chenming Li Lingyun Huang Jianguo Zhang OOD 29 9 0 05 Feb 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 31 28 0 21 Dec 2022
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization Shiji Xin Yifei Wang Jingtong Su Yisen Wang OOD 28 7 0 18 Dec 2022
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey Yuecong Xu Haozhi Cao Zhenghua Chen Xiaoli Li Lihua Xie Jianfei Yang 29 14 0 17 Nov 2022
HMOE: Hypernetwork-based Mixture of Experts for Domain Generalization Jingang Qu T. Faney Zehao Wang Patrick Gallinari Soleiman Yousef J. D. Hemptinne OOD 29 7 0 15 Nov 2022
Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors Qixun Wang Yifei Wang Hong Zhu Yisen Wang OOD 22 19 0 13 Oct 2022
Deep Clustering: A Comprehensive Survey Yazhou Ren Jingyu Pu Zhimeng Yang Jie Xu Guofeng Li X. Pu Philip S. Yu Lifang He HAI 50 101 0 09 Oct 2022
Back-to-Bones: Rediscovering the Role of Backbones in Domain Generalization Simone Angarano Mauro Martini Francesco Salvetti Vittorio Mazzia Marcello Chiaberge OOD 39 12 0 02 Sep 2022
OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization Zining Zhu Soroosh Shahtalebi Frank Rudzicz 30 4 0 25 Aug 2022
Adaptive Domain Generalization via Online Disagreement Minimization X. Zhang Ying-Cong Chen OOD 27 5 0 03 Aug 2022
Domain Generalization for Activity Recognition via Adaptive Feature Fusion Xin Qin Jindong Wang Yiqiang Chen Wang Lu Xinlong Jiang OOD 42 36 0 21 Jul 2022
Domain Generalization via Selective Consistency Regularization for Time Series Classification Wenyu Zhang Mohamed Ragab Chuan-Sheng Foo OOD AI4TS 27 2 0 16 Jun 2022
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization Jivat Neet Kaur Emre Kıcıman Amit Sharma UQCV OOD 30 25 0 15 Jun 2022
Evolving Domain Generalization Wei Wang Gezheng Xu Ruizhi Pu Jiaqi Li Fan Zhou Changjian Shui Charles Ling Christian Gagné Boyu Wang OOD 37 3 0 31 May 2022
Test-time Batch Normalization Tao Yang Shenglong Zhou Yuwang Wang Yan Lu Nanning Zheng OOD 59 9 0 20 May 2022
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder Tiexin Qin Shiqi Wang Haoliang Li CML BDL 28 24 0 16 May 2022
Universum-inspired Supervised Contrastive Learning Aiyang Han Chuanxing Geng Songcan Chen SSL 29 3 0 22 Apr 2022
Domain Generalization by Mutual-Information Regularization with Pre-trained Models Junbum Cha Kyungjae Lee Sungrae Park Sanghyuk Chun OOD 35 131 0 21 Mar 2022
Deep AutoAugment Yu Zheng Zikai Zhang Shen Yan Mi Zhang ViT 25 27 0 11 Mar 2022
Optimal Representations for Covariate Shift Yangjun Ruan Yann Dubois Chris J. Maddison OOD 33 68 0 31 Dec 2021
Towards Principled Disentanglement for Domain Generalization Hanlin Zhang Yi-Fan Zhang Weiyang Liu Adrian Weller Bernhard Schölkopf Eric Xing OOD 47 112 0 27 Nov 2021
Exploiting Domain-Specific Features to Enhance Domain Generalization Manh-Ha Bui Toan M. Tran Anh Tran D.Q. Phung OOD 34 126 0 18 Oct 2021
Domain Generalisation for Apparent Emotional Facial Expression Recognition across Age-Groups Rafael Poyiadzi Jie Shen Stavros Petridis Yujiang Wang Maja Pantic CVBM 32 4 0 18 Oct 2021
Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption A. Frikha Denis Krompass Volker Tresp OOD 35 1 0 09 Sep 2021
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization Alexandre Ramé Corentin Dancette Matthieu Cord OOD 50 206 0 07 Sep 2021