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
Alignment of Diffusion Models: Fundamentals, Challenges, and Future Buhua Liu Shitong Shao Bao Li Lichen Bai Zhiqiang Xu Haoyi Xiong James Kwok Sumi Helal Zeke Xie 42 12 0 11 Sep 2024
NeuralOOD: Improving Out-of-Distribution Generalization Performance with Brain-machine Fusion Learning Framework Shuangchen Zhao Changde Du Hui Li Huiguang He 40 0 0 27 Aug 2024
DIAGen: Diverse Image Augmentation with Generative Models Tobias Lingenberg Markus Reuter Gopika Sudhakaran Dominik Gojny Stefan Roth Simone Schaub-Meyer DiffM 28 3 0 26 Aug 2024
$χ$ SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains Harsh Poonia Moritz Willig Zhongjie Yu Matej Zečević Kristian Kersting D. Dhami TPM CML 23 2 0 14 Aug 2024
Label Augmentation for Neural Networks Robustness Fatemeh Amerehi Patrick Healy AAML 37 1 0 04 Aug 2024
Domain penalisation for improved Out-of-Distribution Generalisation Shuvam Jena Sushmetha Sumathi Rajendran Karthik Seemakurthy A. Sasithradevi M. Vijayalakshmi Prakash Poornachari 34 0 0 03 Aug 2024
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation Chu Zhao Enneng Yang Yuliang Liang Pengxiang Lan Yuting Liu Jianzhe Zhao Guibing Guo Xingwei Wang OOD DiffM CML 51 5 0 01 Aug 2024
Problems in AI, their roots in philosophy, and implications for science and society Max Velthoven Eric Marcus 23 2 0 22 Jul 2024
Unifying Invariant and Variant Features for Graph Out-of-Distribution via Probability of Necessity and Sufficiency Xuexin Chen Ruichu Cai Kaitao Zheng Zhifan Jiang Zhengting Huang Zhifeng Hao Zijian Li 54 0 0 21 Jul 2024
AI-driven multi-omics integration for multi-scale predictive modeling of causal genotype-environment-phenotype relationships You Wu Lei Xie AI4CE 23 10 0 08 Jul 2024
Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models Reza Abbasi M. Rohban M. Baghshah CoGe 38 5 0 08 Jul 2024
On Generalization for Generative Flow Networks Anas Krichel Nikolay Malkin Salem Lahlou Yoshua Bengio AI4CE 14 1 0 03 Jul 2024
Acoustic Feature Mixup for Balanced Multi-aspect Pronunciation Assessment Heejin Do Wonjun Lee Gary Geunbae Lee 37 0 0 22 Jun 2024
Revisiting Spurious Correlation in Domain Generalization Bin Qin Jiangmeng Li Yi Li Xuesong Wu Yupeng Wang Wenwen Qiang Jianwen Cao CML 44 1 0 17 Jun 2024
Uncertainty modeling for fine-tuned implicit functions A. Susmelj Mael Macuglia Nataša Tagasovska Reto Sutter Sebastiano Caprara Jean-Philippe Thiran E. Konukoglu 70 1 0 17 Jun 2024
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning Haoxin Liu Harshavardhan Kamarthi Lingkai Kong Zhiyuan Zhao Chao Zhang B. Aditya Prakash OODD OOD AI4TS 44 8 0 13 Jun 2024
Strategies for Pretraining Neural Operators Anthony Y. Zhou Cooper Lorsung AmirPouya Hemmasian Amir Barati Farimani AI4CE 39 5 0 12 Jun 2024
EMOE: Expansive Matching of Experts for Robust Uncertainty Based Rejection Yunni Qu James Wellnitz Alexander Tropsha Junier Oliva 36 0 0 03 Jun 2024
Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph Weihuang Zheng Jiashuo Liu Jiaxing Li Jiayun Wu Peng Cui Youyong Kong OOD 41 0 0 03 Jun 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 41 1 0 01 Jun 2024
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives Xuan Wu Di Wang Lijie Wen Yubin Xiao Chunguo Wu Yuesong Wu Chaoyu Yu D. Maskell You Zhou 68 4 0 01 Jun 2024
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection Yingwen Wu Ruiji Yu Xinwen Cheng Zhengbao He Xiaolin Huang OODD 72 1 0 28 May 2024
Evaluating Supply Chain Resilience During Pandemic Using Agent-based Simulation Teddy Lazebnik 20 0 0 13 May 2024
Stability Evaluation via Distributional Perturbation Analysis Jose H. Blanchet Peng Cui Jiajin Li Jiashuo Liu 38 0 0 06 May 2024
A View on Out-of-Distribution Identification from a Statistical Testing Theory Perspective Alberto Caron Chris Hicks V. Mavroudis OODD 30 2 0 05 May 2024
Quantifying Distribution Shifts and Uncertainties for Enhanced Model Robustness in Machine Learning Applications Vegard Flovik OOD 34 1 0 03 May 2024
A separability-based approach to quantifying generalization: which layer is best? Luciano Dyballa Evan Gerritz Steven W. Zucker OOD 31 3 0 02 May 2024
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation Min Zhang Haoxuan Li Fei Wu Kun Kuang OODD 24 12 0 30 Apr 2024
A Survey of Large Language Models on Generative Graph Analytics: Query, Learning, and Applications Wenbo Shang Xin Huang 27 9 0 23 Apr 2024
Deep neural networks for choice analysis: Enhancing behavioral regularity with gradient regularization Siqi Feng Rui Yao Stephane Hess Ricardo A. Daziano Timothy Brathwaite Joan Walker Shenhao Wang 25 1 0 23 Apr 2024
IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models Tao Feng Lizhen Qu Zhuang Li Haolan Zhan Yuncheng Hua Gholamreza Haffari VLM 37 1 0 21 Apr 2024
Counteracting Concept Drift by Learning with Future Malware Predictions B. Bosanský Lada Hospodkova Michal Najman M. Rigaki E. Babayeva Viliam Lisý AAML 27 1 0 14 Apr 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey Naveen Karunanayake Ravin Gunawardena Suranga Seneviratne Sanjay Chawla OOD 48 5 0 08 Apr 2024
Domain Generalisation via Imprecise Learning Anurag Singh Siu Lun Chau S. Bouabid Krikamol Muandet AI4CE OOD 38 5 0 06 Apr 2024
Domain Generalization through Meta-Learning: A Survey Arsham Gholamzadeh Khoee Yinan Yu R. Feldt AI4CE OOD 37 15 0 03 Apr 2024
Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data Xin Zou Weiwei Liu 18 2 0 29 Mar 2024
Transfer CLIP for Generalizable Image Denoising Junting Cheng Dong Liang Shan Tan VLM 35 12 0 22 Mar 2024
Improving Out-of-Distribution Generalization of Learned Dynamics by Learning Pseudometrics and Constraint Manifolds Yating Lin Glen Chou Dmitry Berenson OODD 33 0 0 18 Mar 2024
Proxy Methods for Domain Adaptation Katherine Tsai Stephen R. Pfohl Olawale Salaudeen Nicole Chiou Matt J. Kusner Alexander DÁmour Oluwasanmi Koyejo Arthur Gretton OOD 32 2 0 12 Mar 2024
COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification L. E. Hogeweg R. Gangireddy D. Brunink Vincent J. Kalkman L. Cornelissen J. W. Kamminga OODD 27 6 0 11 Mar 2024
All in One: Multi-Task Prompting for Graph Neural Networks (Extended Abstract) Xiangguo Sun Hong Cheng Jia Li Bo Liu Jihong Guan LLMAG 27 2 0 11 Mar 2024
What is different between these datasets? Varun Babbar Zhicheng Guo Cynthia Rudin 59 1 0 08 Mar 2024
Beyond Finite Data: Towards Data-free Out-of-distribution Generalization via Extrapolation Yijiang Li Sucheng Ren Weipeng Deng Yuzhi Xu Ying Gao Edith Ngai Haohan Wang OOD 33 1 0 08 Mar 2024
Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts Zeyang Zhang Xin Eric Wang Ziwei Zhang Zhou Qin Weigao Wen Hui Xue Haoyang Li Wenwu Zhu OOD 37 17 0 08 Mar 2024
Uncertainty-Aware Relational Graph Neural Network for Few-Shot Knowledge Graph Completion Qian Li Shu Guo Yingjia Chen Cheng Ji Jiawei Sheng Jianxin Li 23 0 0 07 Mar 2024
A Survey on Evaluation of Out-of-Distribution Generalization Han Yu Jiashuo Liu Xingxuan Zhang Jiayun Wu Peng Cui OOD 44 8 0 04 Mar 2024
Confidence-Aware Multi-Field Model Calibration Yuang Zhao Chuhan Wu Qinglin Jia Hong Zhu Jia Yan Libin Zong Linxuan Zhang Zhenhua Dong Muyu Zhang 30 1 0 27 Feb 2024
Operational Collective Intelligence of Humans and Machines Nikolos Gurney Fred Morstatter David Pynadath Adam Russell Gleb Satyukov AI4CE 22 0 0 16 Feb 2024
Robust agents learn causal world models Jonathan G. Richens Tom Everitt OOD 119 36 0 16 Feb 2024
Unifying Invariance and Spuriousity for Graph Out-of-Distribution via Probability of Necessity and Sufficiency Xuexin Chen Ruichu Cai Kaitao Zheng Zhifan Jiang Zhengting Huang Zhifeng Hao Zijian Li 24 2 0 14 Feb 2024