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
Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources Renzhe Xu K. Wang Bo Li 13 0 0 12 May 2025
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach Yiyuan Yang Guodong Long Tianyi Zhou Qinghua Lu Shanshan Ye Jing Jiang OODD 69 1 0 02 May 2025
Risk Analysis and Design Against Adversarial Actions M. Campi A. Carè Luis G. Crespo S. Garatti Federico A. Ramponi AAML 23 0 0 02 May 2025
Pick-and-place Manipulation Across Grippers Without Retraining: A Learning-optimization Diffusion Policy Approach Xiangtong Yao Yirui Zhou Y. Meng Liangyu Dong Lin Hong Zitao Zhang Zhenshan Bing Kai Huang Fuchun Sun Alois C. Knoll 67 0 0 24 Feb 2025
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes Aodi Li Liansheng Zhuang Xiao Long Minghong Yao Shafei Wang 91 0 0 18 Dec 2024
ClarityEthic: Explainable Moral Judgment Utilizing Contrastive Ethical Insights from Large Language Models Yuxi Sun Wei Gao Jing Ma Hongzhan Lin Ziyang Luo Wenxuan Zhang ELM 70 0 0 17 Dec 2024
A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization Haoxin Liu Chenghao Liu B. Prakash AI4TS LRM 86 5 0 09 Nov 2024
Federated Learning with Relative Fairness Shogo H. Nakakita Tatsuya Kaneko Shinya Takamaeda-Yamazaki Masaaki Imaizumi FedML 16 2 0 02 Nov 2024
State-of-the-Art Periorbital Distance Prediction and Disease Classification Using Periorbital Features George R. Nahass Ghasem Yazdanpanah Jeffrey C. Peterson Alex Palacios Jeffery Peterson ... Kevin Heinze Chad A. Purnell P. Setabutr Ann Q. Tran Darvin Yi 19 1 0 27 Sep 2024
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 37 11 0 11 Sep 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 48 5 0 01 Aug 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 36 0 0 21 Jul 2024
Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models Reza Abbasi M. Rohban M. Baghshah CoGe 35 5 0 08 Jul 2024
Uncertainty modeling for fine-tuned implicit functions A. Susmelj Mael Macuglia Nataša Tagasovska Reto Sutter Sebastiano Caprara Jean-Philippe Thiran E. Konukoglu 48 1 0 17 Jun 2024
Strategies for Pretraining Neural Operators Anthony Y. Zhou Cooper Lorsung AmirPouya Hemmasian Amir Barati Farimani AI4CE 34 4 0 12 Jun 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 14 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 57 3 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 60 1 0 28 May 2024
Quantifying Distribution Shifts and Uncertainties for Enhanced Model Robustness in Machine Learning Applications Vegard Flovik OOD 21 1 0 03 May 2024
A separability-based approach to quantifying generalization: which layer is best? Luciano Dyballa Evan Gerritz Steven W. Zucker OOD 17 3 0 02 May 2024
What is different between these datasets? Varun Babbar Zhicheng Guo Cynthia Rudin 45 1 0 08 Mar 2024
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 24 2 0 19 Dec 2023
Holistic chemical evaluation reveals pitfalls in reaction prediction models Victor Sabanza Gil Andres M Bran Malte Franke Remi Schlama J. Luterbacher Philippe Schwaller ELM 18 1 0 14 Dec 2023
Neither hype nor gloom do DNNs justice Gaurav Malhotra Christian Tsvetkov B. D. Evans 16 114 0 08 Dec 2023
Identifying Semantic Component for Robust Molecular Property Prediction Zijian Li Zunhong Xu Ruichu Cai Zhenhui Yang Yuguang Yan Zhifeng Hao Guan-Hong Chen Kun Zhang 15 9 0 08 Nov 2023
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination Xihuai Wang Shao Zhang Wenhao Zhang Wentao Dong Jingxiao Chen Ying Wen Weinan Zhang 20 8 0 08 Oct 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 81 1 0 17 Jul 2023
Compositional Generalization from First Principles Thaddäus Wiedemer Prasanna Mayilvahanan Matthias Bethge Wieland Brendel OCL 22 36 0 10 Jul 2023
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future Linyi Yang Y. Song Xuan Ren Chenyang Lyu Yidong Wang Lingqiao Liu Jindong Wang Jennifer Foster Yue Zhang OOD 18 2 0 23 May 2023
SFP: Spurious Feature-targeted Pruning for Out-of-Distribution Generalization Yingchun Wang Jingcai Guo Yi Liu Song Guo Weizhan Zhang Xiangyong Cao Qinghua Zheng AAML OODD 26 11 0 19 May 2023
Shared and Private Information Learning in Multimodal Sentiment Analysis with Deep Modal Alignment and Self-supervised Multi-Task Learning Songning Lai Jiakang Li Guinan Guo Xifeng Hu Yulong Li ... Yutong Liu Zhaoxia Ren Chun Wan Danmin Miao Zhi Liu SSL 36 9 0 15 May 2023
Frequency Decomposition to Tap the Potential of Single Domain for Generalization Qing-sheng Yang Hongjing Niu Pengfei Xia Wei Zhang Bin Li OOD 21 0 0 14 Apr 2023
Hierarchical Disentanglement-Alignment Network for Robust SAR Vehicle Recognition Wei-Jang Li Wei Yang Wenpeng Zhang Tianpeng Liu Yongxiang Liu Y. Liu 14 16 0 07 Apr 2023
Predictive Heterogeneity: Measures and Applications Jiashuo Liu Jiayun Wu B. Li Peng Cui 12 1 0 01 Apr 2023
Environment Invariant Linear Least Squares Jianqing Fan Cong Fang Yihong Gu Tong Zhang OOD 51 11 0 06 Mar 2023
Diagnosing Model Performance Under Distribution Shift Tiffany Cai Hongseok Namkoong Steve Yadlowsky 24 27 0 03 Mar 2023
Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation Rui Zhang Qi Meng Rongchan Zhu Yue Wang Wenlei Shi Shihua Zhang Zhi-Ming Ma Tie-Yan Liu DiffM AI4CE 44 4 0 10 Feb 2023
Perfect is the enemy of test oracle Ali Reza Ibrahimzada Yigit Varli Dilara Tekinoglu Reyhaneh Jabbarvand ELM AAML VLM 19 20 0 03 Feb 2023
Understanding Finetuning for Factual Knowledge Extraction from Language Models Mehran Kazemi Sid Mittal Deepak Ramachandran KELM 26 10 0 26 Jan 2023
Target Conditioned Representation Independence (TCRI); From Domain-Invariant to Domain-General Representations Olawale Salaudeen Oluwasanmi Koyejo 13 2 0 21 Dec 2022
Domain Generalization for Robust Model-Based Offline Reinforcement Learning Alan Clark Shoaib Ahmed Siddiqui Robert Kirk Usman Anwar Stephen Chung David M. Krueger OOD OffRL 17 0 0 27 Nov 2022
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works Chao Tao Ji Qi Mingning Guo Qing Zhu Haifeng Li SSL 19 56 0 15 Nov 2022
Logical Tasks for Measuring Extrapolation and Rule Comprehension Ippei Fujisawa Ryota Kanai ELM LRM 15 4 0 14 Nov 2022
Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints Jiajin Li Si-Jian Lin Jose H. Blanchet Viet Anh Nguyen OOD 33 11 0 04 Oct 2022
Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models Manli Shu Weili Nie De-An Huang Zhiding Yu Tom Goldstein Anima Anandkumar Chaowei Xiao VLM VPVLM 169 278 0 15 Sep 2022
The Alignment Problem from a Deep Learning Perspective Richard Ngo Lawrence Chan Sören Mindermann 29 180 0 30 Aug 2022
Artifact-Based Domain Generalization of Skin Lesion Models Alceu Bissoto Catarina Barata Eduardo Valle Sandra Avila MedIm AI4CE 22 13 0 20 Aug 2022
Domain Decorrelation with Potential Energy Ranking Sen Pei Jiaxi Sun Richard Yi Da Xu Shiming Xiang Gaofeng Meng OOD 11 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 34 1 0 14 Jul 2022
Invariant and Transportable Representations for Anti-Causal Domain Shifts Yibo Jiang Victor Veitch OOD 114 32 0 04 Jul 2022