In Search of Lost Domain Generalization

2 July 2020

Papers citing "In Search of Lost Domain Generalization"

50 / 226 papers shown

Title
Stable Learning via Sparse Variable Independence Han Yu Peng Cui Yue He Zheyan Shen Yong Lin Renzhe Xu Xingxuan Zhang OOD 28 13 0 02 Dec 2022
PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization Prithvijit Chattopadhyay Kartik Sarangmath Vivek Vijaykumar Judy Hoffman 37 24 0 02 Dec 2022
How to Train an Accurate and Efficient Object Detection Model on Any Dataset Galina Zalesskaya B. Bylicka Eugene Liu 3DH 26 3 0 30 Nov 2022
Context-Aware Robust Fine-Tuning Xiaofeng Mao YueFeng Chen Xiaojun Jia Rong Zhang Hui Xue Zhao Li VLM CLIP 20 23 0 29 Nov 2022
Malign Overfitting: Interpolation Can Provably Preclude Invariance Yoav Wald G. Yona Uri Shalit Y. Carmon 13 5 0 28 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 16 7 0 15 Nov 2022
Distributional Shift Adaptation using Domain-Specific Features Anique Tahir Lu Cheng Ruocheng Guo Huan Liu VLM TTA OOD OODD 20 2 0 09 Nov 2022
Okapi: Generalising Better by Making Statistical Matches Match Myles Bartlett Sara Romiti V. Sharmanska Novi Quadrianto 32 3 0 07 Nov 2022
FIXED: Frustratingly Easy Domain Generalization with Mixup Wang Lu Jindong Wang Han Yu Lei Huang Xiang Zhang Yiqiang Chen Xingxu Xie 24 6 0 07 Nov 2022
GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization Xuhai Xu Han Zhang Yasaman S. Sefidgar Yiyi Ren Xin Liu ... Tim Althoff Margaret E. Morris E. Riskin Jennifer Mankoff A. Dey 30 38 0 04 Nov 2022
Towards Generalized Few-Shot Open-Set Object Detection Binyi Su Hua Zhang Jingzhi Li Zhongjun Zhou 43 9 0 28 Oct 2022
Domain Generalization through the Lens of Angular Invariance Yujie Jin Xu Chu Yasha Wang Wenwu Zhu OOD 6 3 0 28 Oct 2022
COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning Yue Yu Chenyan Xiong Si Sun Chao Zhang Arnold Overwijk VLM OOD 40 22 0 27 Oct 2022
Sufficient Invariant Learning for Distribution Shift Taero Kim Sungjun Lim Kyungwoo Song OOD 19 2 0 24 Oct 2022
Using Language to Extend to Unseen Domains Lisa Dunlap Clara Mohri Devin Guillory Han Zhang Trevor Darrell Joseph E. Gonzalez Aditi Raghunanthan Anja Rohrbach VLM 12 35 0 18 Oct 2022
Learning Less Generalizable Patterns with an Asymmetrically Trained Double Classifier for Better Test-Time Adaptation Thomas Duboudin Emmanuel Dellandréa Corentin Abgrall Gilles Hénaff Limin Chen TTA 19 1 0 17 Oct 2022
Towards Out-of-Distribution Adversarial Robustness Adam Ibrahim Charles Guille-Escuret Ioannis Mitliagkas Irina Rish David M. Krueger P. Bashivan OOD 29 6 0 06 Oct 2022
Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks Sravanti Addepalli Anshul Nasery R. Venkatesh Babu Praneeth Netrapalli Prateek Jain AAML 30 3 0 04 Oct 2022
Learning Gradient-based Mixup towards Flatter Minima for Domain Generalization Danni Peng Sinno Jialin Pan 27 2 0 29 Sep 2022
Optimal Transport-based Identity Matching for Identity-invariant Facial Expression Recognition D. Kim B. Song OT 24 10 0 25 Sep 2022
Mitigating Both Covariate and Conditional Shift for Domain Generalization Jianxin Lin Yongqiang Tang Junping Wang Wensheng Zhang OOD 34 3 0 17 Sep 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 33 842 0 07 Sep 2022
The Value of Out-of-Distribution Data Ashwin De Silva Rahul Ramesh Carey E. Priebe Pratik Chaudhari Joshua T. Vogelstein OODD 16 11 0 23 Aug 2022
Artifact-Based Domain Generalization of Skin Lesion Models Alceu Bissoto Catarina Barata Eduardo Valle Sandra Avila MedIm AI4CE 33 13 0 20 Aug 2022
Fuse and Attend: Generalized Embedding Learning for Art and Sketches U. Dutta 24 0 0 20 Aug 2022
Prompt Vision Transformer for Domain Generalization Zangwei Zheng Xiangyu Yue Kai Wang Yang You VLM VPVLM MDE 30 51 0 18 Aug 2022
Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP Thao Nguyen Gabriel Ilharco Mitchell Wortsman Sewoong Oh Ludwig Schmidt CLIP VLM 38 97 0 10 Aug 2022
Semantic Self-adaptation: Enhancing Generalization with a Single Sample Sherwin Bahmani Oliver Hahn Eduard Zamfir Nikita Araslanov Daniel Cremers Stefan Roth OOD TTA VLM 30 6 0 10 Aug 2022
Improving Meta-Learning Generalization with Activation-Based Early-Stopping Simon Guiroy C. Pal Gonçalo Mordido Sarath Chandar 26 3 0 03 Aug 2022
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift Yivan Zhang Jindong Wang Xingxu Xie Masashi Sugiyama OOD 34 1 0 03 Aug 2022
Adaptive Domain Generalization via Online Disagreement Minimization X. Zhang Ying-Cong Chen OOD 19 5 0 03 Aug 2022
Repeated Environment Inference for Invariant Learning Aayush Mishra Anqi Liu BDL OOD 16 0 0 26 Jul 2022
Domain-invariant Feature Exploration for Domain Generalization Wang Lu Jindong Wang Haoliang Li Yiqiang Chen Xing Xie OOD 30 69 0 25 Jul 2022
Domain Generalization for Activity Recognition via Adaptive Feature Fusion Xin Qin Jindong Wang Yiqiang Chen Wang Lu Xinlong Jiang OOD 36 35 0 21 Jul 2022
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting Justin Kay Peter Kulits Suzanne Stathatos Siqi Deng Erik Young Sara Beery Grant Van Horn Pietro Perona 19 26 0 19 Jul 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning F. Wenzel Andrea Dittadi Peter V. Gehler Carl-Johann Simon-Gabriel Max Horn ... Chris Russell Thomas Brox Bernt Schiele Bernhard Schölkopf Francesco Locatello OOD OODD AAML 49 71 0 19 Jul 2022
Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift Ananya Kumar Tengyu Ma Percy Liang Aditi Raghunathan UQCV OODD OOD 37 38 0 18 Jul 2022
Contrastive Adapters for Foundation Model Group Robustness Michael Zhang Christopher Ré VLM 8 61 0 14 Jul 2022
Test-Time Adaptation via Self-Training with Nearest Neighbor Information M-U Jang Sae-Young Chung Hye Won Chung OOD TTA 33 56 0 08 Jul 2022
Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning Damien Teney Maxime Peyrard Ehsan Abbasnejad 30 29 0 06 Jul 2022
Invariant and Transportable Representations for Anti-Causal Domain Shifts Yibo Jiang Victor Veitch OOD 121 32 0 04 Jul 2022
GSCLIP : A Framework for Explaining Distribution Shifts in Natural Language Zhiying Zhu Weixin Liang James Y. Zou 32 9 0 30 Jun 2022
Towards out of distribution generalization for problems in mechanics Lingxiao Yuan Harold S. Park Emma Lejeune OOD AI4CE 26 16 0 29 Jun 2022
When Does Group Invariant Learning Survive Spurious Correlations? Yimeng Chen Ruibin Xiong Zhiming Ma Yanyan Lan OOD CML 14 20 0 29 Jun 2022
How Robust is Unsupervised Representation Learning to Distribution Shift? Yuge Shi Imant Daunhawer Julia E. Vogt Philip H. S. Torr Amartya Sanyal OOD 30 25 0 17 Jun 2022
The Importance of Background Information for Out of Distribution Generalization Jupinder Parmar Khaled Kamal Saab Brian Pogatchnik D. Rubin Christopher Ré OOD 16 0 0 17 Jun 2022
GOOD: A Graph Out-of-Distribution Benchmark Shurui Gui Xiner Li Limei Wang Shuiwang Ji OOD 22 115 0 16 Jun 2022
Domain Generalization via Selective Consistency Regularization for Time Series Classification Wenyu Zhang Mohamed Ragab Chuan-Sheng Foo OOD AI4TS 19 2 0 16 Jun 2022
INDIGO: Intrinsic Multimodality for Domain Generalization Puneet Mangla Shivam Chandhok Milan Aggarwal V. Balasubramanian Balaji Krishnamurthy VLM 33 2 0 13 Jun 2022
Evolving Domain Generalization Wei Wang Gezheng Xu Ruizhi Pu Jiaqi Li Fan Zhou Changjian Shui Charles X. Ling Christian Gagné Boyu Wang OOD 27 3 0 31 May 2022