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
A Novel Cross-Perturbation for Single Domain Generalization Dongjia Zhao Lei Qi Xiao Shi Yinghuan Shi Xin Geng 28 2 0 02 Aug 2023
PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization Junhyeong Cho Gilhyun Nam Sungyeon Kim Hunmin Yang Suha Kwak VLM OOD TTA 27 48 0 27 Jul 2023
Topology-aware Robust Optimization for Out-of-distribution Generalization Fengchun Qiao Xi Peng 33 9 0 26 Jul 2023
NormAUG: Normalization-guided Augmentation for Domain Generalization Lei Qi Hongpeng Yang Yinghuan Shi Xin Geng OOD 36 11 0 25 Jul 2023
Phase Matching for Out-of-Distribution Generalization Chengming Hu Ye Du Rui Wang Hao Chen OOD 28 0 0 24 Jul 2023
Cross Contrasting Feature Perturbation for Domain Generalization Chenming Li Daoan Zhang Wen-Fong Huang Jiang Zhang OOD 26 17 0 24 Jul 2023
Improving Out-of-Distribution Robustness of Classifiers via Generative Interpolation Haoyue Bai Ceyuan Yang Yinghao Xu Shueng-Han Gary Chan Bolei Zhou OODD 17 3 0 23 Jul 2023
DREAM: Domain-free Reverse Engineering Attributes of Black-box Model Rongqing Li Jiaqi Yu Changsheng Li Wenhan Luo Ye Yuan Guoren Wang MLAU 25 0 0 20 Jul 2023
Flatness-Aware Minimization for Domain Generalization Xingxuan Zhang Renzhe Xu Han Yu Yancheng Dong Pengfei Tian Peng Cu 32 20 0 20 Jul 2023
Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to Harness Spurious Features Cian Eastwood Shashank Singh Andrei Liviu Nicolicioiu Marin Vlastelica Julius von Kügelgen Bernhard Schölkopf OOD 23 17 0 19 Jul 2023
Adversarial Bayesian Augmentation for Single-Source Domain Generalization Sheng Cheng Tejas Gokhale Yezhou Yang OOD 28 14 0 18 Jul 2023
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization Akshay Mehra Yunbei Zhang B. Kailkhura Jihun Hamm 33 2 0 17 Jul 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 92 1 0 17 Jul 2023
DISPEL: Domain Generalization via Domain-Specific Liberating Chia-Yuan Chang Yu-Neng Chuang Guanchu Wang Mengnan Du Zou Na 20 6 0 14 Jul 2023
A Causal Framework to Unify Common Domain Generalization Approaches N. Zhang Kaican Li Han Gao Weiyan Xie Zhi Lin ZeLin Li Luning Wang Yongxiang Huang FedML OOD AI4CE 26 2 0 13 Jul 2023
Large Class Separation is not what you need for Relational Reasoning-based OOD Detection L. Lu Giulia DÁscenzi Francesco Cappio Borlino Tatiana Tommasi OODD 25 1 0 12 Jul 2023
Probabilistic Test-Time Generalization by Variational Neighbor-Labeling Sameer Ambekar Zehao Xiao Jiayi Shen Xiantong Zhen Cees G. M. Snoek BDL OOD 30 1 0 08 Jul 2023
Learning to Augment: Hallucinating Data for Domain Generalized Segmentation Qiyu Sun Pavlo Melnyk M. Felsberg Yang Tang 33 0 0 04 Jul 2023
Concept-aware clustering for decentralized deep learning under temporal shift Marcus Toftås Emilie Klefbom Edvin Listo Zec Martin Willbo Olof Mogren OOD 27 0 0 22 Jun 2023
Shape Guided Gradient Voting for Domain Generalization Jiaqi Xu Yuwang Wang Xuejin Chen 21 0 0 19 Jun 2023
Perturbation-Based Two-Stage Multi-Domain Active Learning Rui He Zeyu Dai Shan He Ke Tang 16 2 0 19 Jun 2023
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection Haoyue Bai Gregory H. Canal Xuefeng Du Jeongyeol Kwon Robert D. Nowak Yixuan Li OODD 35 45 0 15 Jun 2023
What can a cook in Italy teach a mechanic in India? Action Recognition Generalisation Over Scenarios and Locations Chiara Plizzari Toby Perrett Barbara Caputo Dima Damen EgoV 18 16 0 14 Jun 2023
Distribution Shift Inversion for Out-of-Distribution Prediction Runpeng Yu Songhua Liu Xingyi Yang Xinchao Wang OODD 18 18 0 14 Jun 2023
Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization Xiner Li Shurui Gui Youzhi Luo Shuiwang Ji OODD OOD 22 10 0 13 Jun 2023
Partial Identifiability for Domain Adaptation Lingjing Kong Shaoan Xie Weiran Yao Yujia Zheng Guan-Hong Chen P. Stojanov Victor Akinwande Anton van den Hengel 51 8 0 10 Jun 2023
Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization Jun-Gyu Park Dong-Jun Han Soyeong Kim Jaekyun Moon OOD TTA 16 12 0 08 Jun 2023
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 16 10 0 08 Jun 2023
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models Maitreya Patel Tejas Gokhale Chitta Baral Yezhou Yang CoGe 14 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 30 36 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 34 23 0 06 Jun 2023
On Pitfalls of Test-Time Adaptation Hao Zhao Yuejiang Liu Alexandre Alahi Tao R. Lin TTA 29 39 0 06 Jun 2023
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization Y. Liu Chris Xing Tian Haoliang Li Lei Ma Shiqi Wang UQCV 26 19 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 20 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 23 24 0 01 Jun 2023
Domain Generalization for Domain-Linked Classes Kimathi Kaai Saad Hossain Sirisha Rambhatla OOD AI4CE 19 0 0 01 Jun 2023
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors Yong Liu Chenyu Li Jianmin Wang Mingsheng Long AI4TS 30 102 0 30 May 2023
Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup Damien Teney Jindong Wang Ehsan Abbasnejad 30 6 0 26 May 2023
CNN Feature Map Augmentation for Single-Source Domain Generalization Aristotelis Ballas Christos Diou OOD 27 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 Fei Wu Kun Kuang 28 7 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 26 4 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 19 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 27 7 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 26 4 0 23 May 2023
POEM: Polarization of Embeddings for Domain-Invariant Representations Sang-Yeong Jo Sung Whan Yoon 19 8 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 13 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 35 12 0 13 May 2023
Even Small Correlation and Diversity Shifts Pose Dataset-Bias Issues Alceu Bissoto Catarina Barata Eduardo Valle Sandra Avila OOD 21 4 0 09 May 2023
Generalized Universal Domain Adaptation with Generative Flow Networks Didi Zhu Yinchuan Li Yunfeng Shao Jianye Hao Fei Wu Kun Kuang Jun Xiao Chao Wu AI4CE OOD 45 16 0 08 May 2023
Model-Contrastive Federated Domain Adaptation Chang’an Yi Haotian Chen Yonghui Xu Yifan Zhang MedIm FedML 33 0 0 07 May 2023