Towards Out-Of-Distribution Generalization: A Survey

31 August 2021

Peng Cui

Papers citing "Towards Out-Of-Distribution Generalization: A Survey"

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Title
FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition Linyi Yang Lifan Yuan Leyang Cui Wen Gao Yue Zhang 21 15 0 24 Aug 2022
Meta-Causal Feature Learning for Out-of-Distribution Generalization Yuqing Wang Xiangxian Li Zhuang Qi Jingyu Li Xuelong Li Xiangxu Meng Lei Meng OOD OODD BDL 38 25 0 22 Aug 2022
Artifact-Based Domain Generalization of Skin Lesion Models Alceu Bissoto Catarina Barata Eduardo Valle Sandra Avila MedIm AI4CE 35 13 0 20 Aug 2022
DAFT: Distilling Adversarially Fine-tuned Models for Better OOD Generalization Anshul Nasery Sravanti Addepalli Praneeth Netrapalli Prateek Jain OOD FedML 37 1 0 19 Aug 2022
Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization Jiaxin Qi Kaihua Tang Qianru Sun Xiansheng Hua Hanwang Zhang 19 12 0 06 Aug 2022
Accelerating discrete dislocation dynamics simulations with graph neural networks N. Bertin Fei Zhou AI4CE 18 9 0 05 Aug 2022
Diversity Boosted Learning for Domain Generalization with Large Number of Domains Xinlin Leng Xiaoying Tang Yatao Bian AI4CE OOD 17 0 0 28 Jul 2022
Towards the Neuroevolution of Low-level Artificial General Intelligence S. Pontes-Filho K. Olsen Anis Yazidi Michael A. Riegler P. Halvorsen Stefano Nichele AI4CE 22 3 0 27 Jul 2022
Equivariance and Invariance Inductive Bias for Learning from Insufficient Data Tan Wang Qianru Sun Sugiri Pranata J. Karlekar Hanwang Zhang SSL 34 19 0 25 Jul 2022
Domain Decorrelation with Potential Energy Ranking Sen Pei Jiaxi Sun Richard Yi Da Xu Shiming Xiang Gaofeng Meng OOD 24 4 0 25 Jul 2022
Improving Multi-Interest Network with Stable Learning Zhaocheng Liu Yingtao Luo Di Zeng Qiang Liu Daqing Chang Dongying Kong Zhi Chen HAI 44 1 0 14 Jul 2022
Invariant and Transportable Representations for Anti-Causal Domain Shifts Yibo Jiang Victor Veitch OOD 123 32 0 04 Jul 2022
Towards out of distribution generalization for problems in mechanics Lingxiao Yuan Harold S. Park Emma Lejeune OOD AI4CE 30 16 0 29 Jun 2022
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming Chuan Wen Jianing Qian Jierui Lin Jiaye Teng Dinesh Jayaraman Yang Gao AAML 15 17 0 22 Jun 2022
GOOD: A Graph Out-of-Distribution Benchmark Shurui Gui Xiner Li Limei Wang Shuiwang Ji OOD 22 115 0 16 Jun 2022
Guided Deep Metric Learning Jorge Gonzalez-Zapata Iván Reyes-Amezcua Daniel Flores-Araiza M. Mendez-Ruiz G. Ochoa-Ruiz Andres Mendez-Vazquez FedML 24 5 0 04 Jun 2022
Disentangling Epistemic and Aleatoric Uncertainty in Reinforcement Learning Bertrand Charpentier Ransalu Senanayake Mykel Kochenderfer Stephan Günnemann PER UD 45 24 0 03 Jun 2022
Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image Segmentation Birk Torpmann-Hagen Vajira Thambawita K. Glette P. Halvorsen Michael A. Riegler 19 3 0 30 May 2022
Grid HTM: Hierarchical Temporal Memory for Anomaly Detection in Videos V. Monakhov Vajira Thambawita P. Halvorsen Michael A. Riegler AI4TS 17 0 0 30 May 2022
An Empirical Study on Distribution Shift Robustness From the Perspective of Pre-Training and Data Augmentation Ziquan Liu Yi Tian Xu Yuanhong Xu Qi Qian Hao Li Rong Jin Xiangyang Ji Antoni B. Chan OOD 45 14 0 25 May 2022
Test-Time Robust Personalization for Federated Learning Liang Jiang Tao R. Lin FedML OOD TTA 79 43 0 22 May 2022
Calibration Matters: Tackling Maximization Bias in Large-scale Advertising Recommendation Systems Yewen Fan Nian Si Kun Zhang 13 2 0 19 May 2022
TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervision Alexander Bartler Florian Bender Felix Wiewel B. Yang TTA 38 9 0 18 May 2022
Improving genetic risk prediction across diverse population by disentangling ancestry representations P. Gyawali Yann Le Guen Xiaoxia Liu Hua Tang J. Zou Zihuai He 12 7 0 10 May 2022
Wavelet-Based Hybrid Machine Learning Model for Out-of-distribution Internet Traffic Prediction Sajal Saha Anwar Haque Greg Sidebottom OODD OOD 13 3 0 09 May 2022
Out-of-distribution generalization for learning quantum dynamics Matthias C. Caro Hsin-Yuan Huang Nic Ezzell Joe Gibbs A. Sornborger L. Cincio Patrick J. Coles Zoë Holmes OODD OOD 17 85 0 21 Apr 2022
NICO++: Towards Better Benchmarking for Domain Generalization Xingxuan Zhang Linjun Zhou Renzhe Xu Haoxin Liu Zheyan Shen Peng Cui OOD 28 75 0 17 Apr 2022
Towards Domain Generalization in Object Detection Xingxuan Zhang Zekai Xu Renzhe Xu Jiashuo Liu Peng Cui Weitao Wan Chong Sun Chen Li ObjD OOD 24 21 0 27 Mar 2022
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series Jean-Christophe Gagnon-Audet Kartik Ahuja Mohammad Javad Darvishi Bayazi Pooneh Mousavi G. Dumas Irina Rish OOD CML AI4TS 24 29 0 18 Mar 2022
Undersmoothing Causal Estimators with Generative Trees Damian Machlanski Spyridon Samothrakis Paul Clarke CML 18 1 0 16 Mar 2022
Bridging the Source-to-target Gap for Cross-domain Person Re-Identification with Intermediate Domains Yongxing Dai Yifan Sun Jun Liu Zekun Tong Yi Yang Ling-yu Duan 27 11 0 03 Mar 2022
Towards IID representation learning and its application on biomedical data Jiqing Wu I. Zlobec Maxime W. Lafarge Yukun He V. Koelzer OOD CML 23 4 0 01 Mar 2022
Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured Review Kyle Hamilton Aparna Nayak Bojan Bozic Luca Longo NAI 29 57 0 24 Feb 2022
Rethinking Machine Learning Robustness via its Link with the Out-of-Distribution Problem Abderrahmen Amich Birhanu Eshete OOD 10 4 0 18 Feb 2022
Generalizable Information Theoretic Causal Representation Mengyue Yang Xin-Qiang Cai Furui Liu Xu Chen Zhitang Chen Jianye Hao Jun Wang OOD CML 27 1 0 17 Feb 2022
Out-Of-Distribution Generalization on Graphs: A Survey Haoyang Li Xin Eric Wang Ziwei Zhang Wenwu Zhu OOD CML 21 96 0 16 Feb 2022
Regulatory Instruments for Fair Personalized Pricing Renzhe Xu Xingxuan Zhang Pengbi Cui B. Li Zheyan Shen Jiazheng Xu 9 15 0 09 Feb 2022
CausPref: Causal Preference Learning for Out-of-Distribution Recommendation Yue He Zimu Wang Peng Cui Hao Zou Yafeng Zhang Qiang Cui Yong-jia Jiang OOD CML OODD 20 54 0 08 Feb 2022
Uncertainty Modeling for Out-of-Distribution Generalization Xiaotong Li Yongxing Dai Yixiao Ge Jun Liu Ying Shan Ling-Yu Duan OODD OOD 18 175 0 08 Feb 2022
Provable Domain Generalization via Invariant-Feature Subspace Recovery Haoxiang Wang Haozhe Si Bo-wen Li Han Zhao OOD 54 32 0 30 Jan 2022
Discovering Invariant Rationales for Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Xiangnan He Tat-Seng Chua OOD AI4CE 93 223 0 30 Jan 2022
Prospective Learning: Principled Extrapolation to the Future Ashwin De Silva Rahul Ramesh Pallavi V. Kulkarni M. Shuler Noah J. Cowan ... Andrei A. Rusu Timothy D. Verstynen Konrad Paul Kording Pratik Chaudhari Joshua T. Vogelstein AI4TS 39 2 0 19 Jan 2022
RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems Zohreh Ovaisi Shelby Heinecke Jia Li Yongfeng Zhang Elena Zheleva Caiming Xiong 19 20 0 12 Jan 2022
General Greedy De-bias Learning Xinzhe Han Shuhui Wang Chi Su Qingming Huang Qi Tian 11 7 0 20 Dec 2021
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective Steven Euijong Whang Yuji Roh Hwanjun Song Jae-Gil Lee 16 323 0 13 Dec 2021
A benchmark with decomposed distribution shifts for 360 monocular depth estimation G. Albanis N. Zioulis Petros Drakoulis Federico Álvarez D. Zarpalas P. Daras MDE 34 0 0 01 Dec 2021
Confounder Identification-free Causal Visual Feature Learning Xin Li Zhizheng Zhang Guoqiang Wei Cuiling Lan Wenjun Zeng Xin Jin Zhibo Chen CML OOD 19 14 0 26 Nov 2021
Domain Prompt Learning for Efficiently Adapting CLIP to Unseen Domains X. Zhang S. Gu Yutaka Matsuo Yusuke Iwasawa VLM 35 36 0 25 Nov 2021
Matching Learned Causal Effects of Neural Networks with Domain Priors Sai Srinivas Kancheti Abbavaram Gowtham Reddy V. Balasubramanian Amit Sharma CML 28 12 0 24 Nov 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,434 0 11 Nov 2021