Deeper, Broader and Artier Domain Generalization

9 October 2017

Da Li

Yongxin Yang

Yi-Zhe Song

Timothy M. Hospedales

OOD

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Papers citing "Deeper, Broader and Artier Domain Generalization"

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Title
Coping with Change: Learning Invariant and Minimum Sufficient Representations for Fine-Grained Visual Categorization Shuo Ye Shujian Yu W. Hou Yu Wang Xinge You OOD 56 11 0 08 Jun 2023
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models Maitreya Patel Tejas Gokhale Chitta Baral Yezhou Yang CoGe 67 15 0 07 Jun 2023
ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation Jiaming Liu Senqiao Yang Peidong Jia Renrui Zhang Ming Lu Yandong Guo Wei Xue Shanghang Zhang TTA OOD VLM 103 40 0 07 Jun 2023
Model Spider: Learning to Rank Pre-Trained Models Efficiently Yi-Kai Zhang Ting Huang Yao-Xiang Ding De-Chuan Zhan Han-Jia Ye 117 28 0 06 Jun 2023
On Pitfalls of Test-Time Adaptation Hao Zhao Yuejiang Liu Alexandre Alahi Tao R. Lin TTA 99 48 0 06 Jun 2023
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization Yebin Liu Chris Xing Tian Haoliang Li Lei Ma Shiqi Wang UQCV 89 21 0 05 Jun 2023
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization Yimeng Chen Tianyang Hu Fengwei Zhou Zhenguo Li Zhiming Ma 72 12 0 05 Jun 2023
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization Shurui Gui Meng Liu Xiner Li Youzhi Luo Shuiwang Ji CML OOD 81 30 0 01 Jun 2023
Domain Generalization for Domain-Linked Classes Kimathi Kaai Saad Hossain Sirisha Rambhatla OOD AI4CE 54 0 0 01 Jun 2023
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors Yong Liu Chenyu Li Jianmin Wang Mingsheng Long AI4TS 99 121 0 30 May 2023
Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup Damien Teney Jindong Wang Ehsan Abbasnejad 80 6 0 26 May 2023
CNN Feature Map Augmentation for Single-Source Domain Generalization Aristotelis Ballas Christos Diou OOD 80 3 0 26 May 2023
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization Yunze Tong Junkun Yuan Min Zhang Di-hua Zhu Keli Zhang Leilei Gan Kun Kuang 84 8 0 25 May 2023
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion Yige Yuan Bingbing Xu Bo Lin Liang Hou Fei Sun Huawei Shen Xueqi Cheng DiffM 104 5 0 25 May 2023
Meta Adaptive Task Sampling for Few-Domain Generalization Zheyan Shen Han Yu Peng Cui Jiashuo Liu Xingxuan Zhang Linjun Zhou Furui Liu OOD 44 1 0 25 May 2023
Rethinking the Evaluation Protocol of Domain Generalization Han Yu Xingxuan Zhang Renzhe Xu Jiashuo Liu Yue He Peng Cui OOD 97 8 0 24 May 2023
Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings Yihao Xue Ali Payani Yu Yang Baharan Mirzasoleiman VLM 107 4 0 23 May 2023
POEM: Polarization of Embeddings for Domain-Invariant Representations Sang-Yeong Jo Sung Whan Yoon 68 12 0 22 May 2023
Consistency Regularization for Domain Generalization with Logit Attribution Matching Han Gao Kaican Li Weiyan Xie Zhi Lin Yongxiang Huang Luning Wang Caleb Chen Cao N. Zhang 73 2 0 13 May 2023
Understanding and Improving Model Averaging in Federated Learning on Heterogeneous Data Tailin Zhou Zehong Lin Jinchao Zhang Danny H. K. Tsang MoMe FedML 91 12 0 13 May 2023
Even Small Correlation and Diversity Shifts Pose Dataset-Bias Issues Alceu Bissoto Catarina Barata Eduardo Valle Sandra Avila OOD 51 4 0 09 May 2023
Generalized Universal Domain Adaptation with Generative Flow Networks Didi Zhu Yinchuan Li Yunfeng Shao Jianye Hao Leilei Gan Kun Kuang Jun Xiao Chao Wu AI4CE OOD 96 19 0 08 May 2023
Model-Contrastive Federated Domain Adaptation Chang’an Yi Haotian Chen Yonghui Xu Yifan Zhang MedIm FedML 57 0 0 07 May 2023
Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations Weixin Liang Yining Mao Yongchan Kwon Xinyu Yang James Zou OODD 88 3 0 04 May 2023
Multi-Domain Learning From Insufficient Annotations Tahira Shehzadi Shengcai Liu D. Stricker Marcus Liwicki Muhammad Zeshan Afzal 63 1 0 04 May 2023
PGrad: Learning Principal Gradients For Domain Generalization Zhe Wang J. E. Grigsby Yanjun Qi OOD 92 10 0 02 May 2023
Moderately Distributional Exploration for Domain Generalization Ruiqi Dai Yonggang Zhang Zhen Fang Bo Han Xinmei Tian OOD 113 19 0 27 Apr 2023
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation Yi-Fan Zhang Xue Wang Kexin Jin Kun Yuan Zhang Zhang Liang Wang Rong Jin Tien-Ping Tan TTA OOD 93 44 0 25 Apr 2023
Synthetic Datasets for Autonomous Driving: A Survey Zhihang Song Zimin He Xingyu Li Q. Ma RuiBo Ming ... Huaxin Pei Lihui Peng Jianming Hu Dingyi Yao Yan Zhang 94 46 0 24 Apr 2023
Leveraging sparse and shared feature activations for disentangled representation learning Marco Fumero F. Wenzel Luca Zancato Alessandro Achille Emanuele Rodolà Stefano Soatto Bernhard Schölkopf Francesco Locatello OOD DRL 95 25 0 17 Apr 2023
Federated Learning of Shareable Bases for Personalization-Friendly Image Classification Hong-You Chen Shitian Zhao Ruotong Wang Xuhui Jia Qi Boqing Gong Wei-Lun Chao Li Zhang FedML 90 7 0 16 Apr 2023
Continual Source-Free Unsupervised Domain Adaptation Waqar Ahmed Pietro Morerio Vittorio Murino TTA CLL 83 2 0 14 Apr 2023
Frequency Decomposition to Tap the Potential of Single Domain for Generalization Qing-sheng Yang Hongjing Niu Pengfei Xia Wei Zhang Bin Li OOD 72 0 0 14 Apr 2023
Semantic-Aware Mixup for Domain Generalization C. Xu Xinmei Tian AAML 40 2 0 12 Apr 2023
Improved Test-Time Adaptation for Domain Generalization Liang Chen Yong Zhang Yibing Song Ying Shan Lingqiao Liu TTA OOD 93 51 0 10 Apr 2023
Does Continual Learning Equally Forget All Parameters? Haiyan Zhao Dinesh Manocha Guodong Long Jing Jiang Chengqi Zhang CLL KELM 93 14 0 09 Apr 2023
Meta-causal Learning for Single Domain Generalization Jin Chen Zhiqiang Gao Xinxiao Wu Jiebo Luo OOD 74 44 0 07 Apr 2023
Patch-aware Batch Normalization for Improving Cross-domain Robustness Lei Qi Dongjia Zhao Yinghuan Shi Xin Geng OOD 97 0 0 06 Apr 2023
ERM++: An Improved Baseline for Domain Generalization Piotr Teterwak Kuniaki Saito Theodoros Tsiligkaridis Kate Saenko Bryan A. Plummer OOD 84 10 0 04 Apr 2023
Randomized Adversarial Style Perturbations for Domain Generalization Taehoon Kim Bohyung Han AAML 80 2 0 04 Apr 2023
BugNIST -- a Large Volumetric Dataset for Object Detection under Domain Shift Patrick M. Jensen Anders B. Dahl Carsten Gundlach Rebecca J Engberg H. Kjer Vedrana Andersen Dahl 54 1 0 04 Apr 2023
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution Jaeill Kim Suhyun Kang Duhun Hwang Jungwook Shin Wonjong Rhee DRL 109 23 0 04 Apr 2023
Progressive Random Convolutions for Single Domain Generalization Seokeon Choi Debasmit Das Sungha Choi Seunghan Yang Hyunsin Park Sungrack Yun 90 39 0 02 Apr 2023
Simple Domain Generalization Methods are Strong Baselines for Open Domain Generalization Masashi Noguchi Shinichi Shirakawa VLM AI4CE 63 5 0 31 Mar 2023
ALUM: Adversarial Data Uncertainty Modeling from Latent Model Uncertainty Compensation Wei Wei Jiahuan Zhou Hongze Li Yingying Wu 38 1 0 29 Mar 2023
Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift Learning Won-Yong Cho Jinha Park Taesup Kim CLL 106 6 0 28 Mar 2023
TFS-ViT: Token-Level Feature Stylization for Domain Generalization Mehrdad Noori Milad Cheraghalikhani Ali Bahri G. A. V. Hakim David Osowiechi Ismail Ben Ayed Christian Desrosiers 68 11 0 28 Mar 2023
Label-Free Liver Tumor Segmentation Qixing Hu Yixiong Chen Junfei Xiao Shuwen Sun Jieneng Chen Alan Yuille Zongwei Zhou VLM 59 60 0 27 Mar 2023
Anomaly Detection under Distribution Shift T. Cao Jiawen Zhu Guansong Pang 85 28 0 24 Mar 2023
Improving Generalization with Domain Convex Game Fangrui Lv Jian Liang Shuang Li Jinming Zhang Di Liu 75 7 0 23 Mar 2023