Domain Generalization by Marginal Transfer Learning

21 November 2017

Clayton Scott

Papers citing "Domain Generalization by Marginal Transfer Learning"

50 / 64 papers shown

Title
NeuRN: Neuro-inspired Domain Generalization for Image Classification Hamd Jalil Ahmed Qazi Asim Iqbal OOD MedIm 26 0 0 11 May 2025
Mice to Machines: Neural Representations from Visual Cortex for Domain Generalization Ahmed Qazi Hamd Jalil Asim Iqbal OOD 33 0 0 11 May 2025
Gradient-Guided Annealing for Domain Generalization Aristotelis Ballas Christos Diou OOD 195 0 0 27 Feb 2025
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes Aodi Li Liansheng Zhuang Xiao Long Minghong Yao Shafei Wang 207 0 0 18 Dec 2024
Meta Curvature-Aware Minimization for Domain Generalization Zhaoyu Chen Yiwen Ye Feilong Tang Yongsheng Pan Yong-quan Xia BDL 218 1 0 16 Dec 2024
Towards a Better Evaluation of Out-of-Domain Generalization Duhun Hwang Suhyun Kang Moonjung Eo Jimyeong Kim Wonjong Rhee 59 0 0 30 May 2024
Domain Generalization with Small Data Kecheng Chen Elena Gal Hong Yan Haoliang Li OOD 27 5 0 09 Feb 2024
HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization Guanglin Zhou Zhongyi Han Shiming Chen Erdun Gao Liming Zhu Tongliang Liu Lina Yao Kun Zhang 32 3 0 18 Jan 2024
Preserving Silent Features for Domain Generalization Chujie Zhao Tianren Zhang Feng Chen 23 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 28 17 0 30 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
Generalizing Across Domains in Diabetic Retinopathy via Variational Autoencoders Sharon Chokuwa M. H. Khan 39 5 0 20 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 29 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
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization Ramnath Kumar Kushal Majmundar Dheeraj M. Nagaraj A. Suggala ODL 29 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 30 7 0 25 May 2023
POEM: Polarization of Embeddings for Domain-Invariant Representations Sang-Yeong Jo Sung Whan Yoon 19 8 0 22 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 31 11 0 19 May 2023
ERM++: An Improved Baseline for Domain Generalization Piotr Teterwak Kuniaki Saito Theodoros Tsiligkaridis Kate Saenko Bryan A. Plummer OOD 41 9 0 04 Apr 2023
A principled approach to model validation in domain generalization Boyang Lyu Thuan Q. Nguyen matthias. scheutz Prakash Ishwar Shuchin Aeron 38 2 0 02 Apr 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 33 26 0 04 Mar 2023
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks Samyak Jain Sravanti Addepalli P. Sahu Priyam Dey R. Venkatesh Babu MoMe OOD 43 20 0 28 Feb 2023
Aggregation of Disentanglement: Reconsidering Domain Variations in Domain Generalization Daoan Zhang Mingkai Chen Chenming Li Lingyun Huang Jianguo Zhang OOD 24 9 0 05 Feb 2023
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization Shiji Xin Yifei Wang Jingtong Su Yisen Wang OOD 21 7 0 18 Dec 2022
Stable Learning via Sparse Variable Independence Han Yu Peng Cui Yue He Zheyan Shen Yong Lin Renzhe Xu Xingxuan Zhang OOD 40 13 0 02 Dec 2022
Cross-Domain Ensemble Distillation for Domain Generalization Kyung-Jin Lee Sungyeon Kim Suha Kwak FedML OOD 26 38 0 25 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 24 7 0 15 Nov 2022
Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios Ngoc Dang Nguyen Lan Du Wray L. Buntine Changyou Chen Richard Beare 23 7 0 11 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
Mitigating Both Covariate and Conditional Shift for Domain Generalization Jianxin Lin Yongqiang Tang Junping Wang Wensheng Zhang OOD 45 3 0 17 Sep 2022
Joint covariate-alignment and concept-alignment: a framework for domain generalization Thuan Q. Nguyen Boyang Lyu Prakash Ishwar matthias. scheutz Shuchin Aeron OOD 24 4 0 01 Aug 2022
PAC-Bayesian Domain Adaptation Bounds for Multiclass Learners Anthony Sicilia Katherine Atwell Malihe Alikhani Seong Jae Hwang BDL 51 9 0 12 Jul 2022
Domain Generalization via Selective Consistency Regularization for Time Series Classification Wenyu Zhang Mohamed Ragab Chuan-Sheng Foo OOD AI4TS 24 2 0 16 Jun 2022
INDIGO: Intrinsic Multimodality for Domain Generalization Puneet Mangla Shivam Chandhok Milan Aggarwal V. Balasubramanian Balaji Krishnamurthy VLM 41 2 0 13 Jun 2022
Evolving Domain Generalization Wei Wang Gezheng Xu Ruizhi Pu Jiaqi Li Fan Zhou Changjian Shui Charles Ling Christian Gagné Boyu Wang OOD 32 3 0 31 May 2022
Test-time Batch Normalization Tao Yang Shenglong Zhou Yuwang Wang Yan Lu Nanning Zheng OOD 57 9 0 20 May 2022
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder Tiexin Qin Shiqi Wang Haoliang Li CML BDL 20 23 0 16 May 2022
Causal Transportability for Visual Recognition Chengzhi Mao K. Xia James Wang Hongya Wang Junfeng Yang Elias Bareinboim Carl Vondrick CML OOD BDL 30 35 0 26 Apr 2022
The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization Zeyi Huang Haohan Wang Dong Huang Yong Jae Lee Eric P. Xing 16 22 0 09 Apr 2022
Causality Inspired Representation Learning for Domain Generalization Fangrui Lv Jian Liang Shuang Li Bin Zang Chi Harold Liu Ziteng Wang Di Liu CML OOD 36 160 0 27 Mar 2022
Domain Generalization by Mutual-Information Regularization with Pre-trained Models Junbum Cha Kyungjae Lee Sungrae Park Sanghyuk Chun OOD 26 131 0 21 Mar 2022
Conditional Contrastive Learning with Kernel Yao-Hung Hubert Tsai Tianqi Li Martin Q. Ma Han Zhao Kun Zhang Louis-Philippe Morency Ruslan Salakhutdinov 19 25 0 11 Feb 2022
Exploiting Domain-Specific Features to Enhance Domain Generalization Manh-Ha Bui Toan M. Tran Anh Tran D.Q. Phung OOD 34 125 0 18 Oct 2021
Offline RL With Resource Constrained Online Deployment Jayanth Reddy Regatti A. Deshmukh Frank Cheng Young Hun Jung Abhishek Gupta Ürün Dogan OffRL 13 2 0 07 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 40 204 0 07 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 55 517 0 31 Aug 2021
Discriminative Domain-Invariant Adversarial Network for Deep Domain Generalization Mohammad Mahfujur Rahman Clinton Fookes Sridha Sridharan OOD 20 3 0 20 Aug 2021
Invariant Information Bottleneck for Domain Generalization Bo-wen Li Yifei Shen Yezhen Wang Wenzhen Zhu Colorado Reed Jun Zhang Dongsheng Li Kurt Keutzer Han Zhao OOD 32 105 0 11 Jun 2021