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
Finding emergence in data by maximizing effective information Mingzhe Yang Zhipeng Wang Kaiwei Liu Ying Rong Bing Yuan Jiang Zhang CML 17 6 0 19 Aug 2023
Auditing and Robustifying COVID-19 Misinformation Datasets via Anticontent Sampling Clay H. Yoo Ashiqur R. KhudaBukhsh 33 5 0 05 Aug 2023
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning Yun Zhu Haizhou Shi Zhenshuo Zhang Siliang Tang 20 8 0 24 Jul 2023
How to Design and Deliver Courses for Higher Education in the AI Era: Insights from Exam Data Analysis A. Wazan I. Taj Abdulhadi Shoufan R. Laborde Rémi Venant ELM 27 1 0 22 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 16 0 0 20 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 89 1 0 17 Jul 2023
A Causal Framework to Unify Common Domain Generalization Approaches N. Zhang Kaican Li Han Gao Weiyan Xie Zhi Lin Z. Li Luning Wang Yongxiang Huang FedML OOD AI4CE 21 2 0 13 Jul 2023
Compositional Generalization from First Principles Thaddäus Wiedemer Prasanna Mayilvahanan Matthias Bethge Wieland Brendel OCL 25 37 0 10 Jul 2023
All in One: Multi-task Prompting for Graph Neural Networks Xiangguo Sun Hongtao Cheng Jia Li Bo Liu Jihong Guan LLMAG AI4CE 30 129 0 04 Jul 2023
Minimum Levels of Interpretability for Artificial Moral Agents Avish Vijayaraghavan C. Badea AI4CE 25 5 0 02 Jul 2023
Uncovering the Limits of Machine Learning for Automatic Vulnerability Detection Niklas Risse Marcel Bohme AAML 66 21 0 28 Jun 2023
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization Ling Yang Jiayi Zheng Heyuan Wang Zhongyi Liu Zhilin Huang Shenda Hong Wentao Zhang Bin Cui 22 13 0 28 Jun 2023
Continual Learning for Out-of-Distribution Pedestrian Detection Mahdiyar Molahasani Ali Etemad Michael A. Greenspan OODD 18 3 0 26 Jun 2023
Deep Transfer Learning for Intelligent Vehicle Perception: a Survey Xinyi Liu Jinlong Li Jin Ma Huiming Sun Zhigang Xu Tianyu Zhang Hongkai Yu 48 22 0 26 Jun 2023
Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation Jinghao Zhang Qiang Liu Shu Wu Liang Wang 16 8 0 25 Jun 2023
Generalization Across Experimental Parameters in Machine Learning Analysis of High Resolution Transmission Electron Microscopy Datasets Katherine Sytwu L. Dacosta M. Scott 11 2 0 20 Jun 2023
Wasserstein distributional robustness of neural networks Xingjian Bai Guangyi He Yifan Jiang J. Obłój OOD AAML 16 6 0 16 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 20 10 0 13 Jun 2023
Do-GOOD: Towards Distribution Shift Evaluation for Pre-Trained Visual Document Understanding Models Jiabang He Yilang Hu Lei Wang Xingdong Xu Ning Liu Hui-juan Liu Hengtao Shen VLM OOD 22 2 0 05 Jun 2023
Federated Domain Generalization: A Survey Ying Li Xingwei Wang Rongfei Zeng Praveen Kumar Donta Ilir Murturi Min Huang Schahram Dustdar OOD FedML AI4CE 42 29 0 02 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
Out-of-distribution forgetting: vulnerability of continual learning to intra-class distribution shift Liangxuan Guo Yang Chen Shan Yu OODD CLL 18 2 0 01 Jun 2023
IDEA: Invariant Defense for Graph Adversarial Robustness Shuchang Tao Qi Cao Huawei Shen Yunfan Wu Bingbing Xu Xueqi Cheng AAML OOD 32 6 0 25 May 2023
Rethinking the Evaluation Protocol of Domain Generalization Han Yu Xingxuan Zhang Renzhe Xu Jiashuo Liu Yue He Peng Cui OOD 24 7 0 24 May 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 32 2 0 23 May 2023
Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models Oana Ignat Zhijing Jin Artem Abzaliev Laura Biester Santiago Castro ... Verónica Pérez-Rosas Siqi Shen Zekun Wang Winston Wu Rada Mihalcea LRM 29 6 0 21 May 2023
Low-Entropy Latent Variables Hurt Out-of-Distribution Performance Nandi Schoots Dylan R. Cope OODD OOD 18 0 0 20 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 31 11 0 19 May 2023
HICO-DET-SG and V-COCO-SG: New Data Splits for Evaluating the Systematic Generalization Performance of Human-Object Interaction Detection Models Kenta Takemoto Moyuru Yamada Tomotake Sasaki H. Akima 37 0 0 17 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
A Survey on the Robustness of Computer Vision Models against Common Corruptions Shunxin Wang Raymond N. J. Veldhuis Christoph Brune N. Strisciuglio OOD VLM 25 11 0 10 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 34 16 0 08 May 2023
On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code M. Weyssow Xin Zhou Kisub Kim David Lo H. Sahraoui CLL KELM 27 10 0 06 May 2023
Moderately Distributional Exploration for Domain Generalization Ruiqi Dai Yonggang Zhang Zhen Fang Bo Han Xinmei Tian OOD 60 18 0 27 Apr 2023
Universal Domain Adaptation via Compressive Attention Matching Didi Zhu Yincuan Li Junkun Yuan Zexi Li Kun Kuang Chao Wu 37 17 0 24 Apr 2023
Learning a quantum computer's capability using convolutional neural networks Daniel Hothem Kevin C. Young Tommie A. Catanach Timothy Proctor 4 9 0 20 Apr 2023
Out-of-Variable Generalization for Discriminative Models Siyuan Guo J. Wildberger Bernhard Schölkopf OOD CML 30 2 0 16 Apr 2023
Frequency Decomposition to Tap the Potential of Single Domain for Generalization Qing-sheng Yang Hongjing Niu Pengfei Xia Wei Zhang Bin Li OOD 26 0 0 14 Apr 2023
Unified Out-Of-Distribution Detection: A Model-Specific Perspective Reza Averly Wei-Lun Chao OODD 37 12 0 13 Apr 2023
Deep Stable Multi-Interest Learning for Out-of-distribution Sequential Recommendation Qiang Liu Zhaocheng Liu Zhen Zhu Shu Wu Liang Wang OOD OODD 40 3 0 12 Apr 2023
Pretrained Embeddings for E-commerce Machine Learning: When it Fails and Why? Da Xu Bo Yang 22 3 0 09 Apr 2023
InstructBio: A Large-scale Semi-supervised Learning Paradigm for Biochemical Problems Fang Wu Huiling Qin Siyuan Li Stan Z. Li Xianyuan Zhan Jinbo Xu 18 5 0 08 Apr 2023
Hierarchical Disentanglement-Alignment Network for Robust SAR Vehicle Recognition Wei-Jang Li Wei Yang Wenpeng Zhang Tianpeng Liu Yongxiang Liu Y. Liu 30 18 0 07 Apr 2023
Predictive Heterogeneity: Measures and Applications Jiashuo Liu Jiayun Wu B. Li Peng Cui 12 1 0 01 Apr 2023
Mind the Label Shift of Augmentation-based Graph OOD Generalization Junchi Yu Jian Liang R. He 34 27 0 27 Mar 2023
Benchmarking the Reliability of Post-training Quantization: a Particular Focus on Worst-case Performance Zhihang Yuan Jiawei Liu Jiaxiang Wu Dawei Yang Qiang Wu Guangyu Sun Wenyu Liu Xinggang Wang Bingzhe Wu MQ 14 6 0 23 Mar 2023
Data-centric Artificial Intelligence: A Survey Daochen Zha Zaid Pervaiz Bhat Kwei-Herng Lai Fan Yang Zhimeng Jiang Shaochen Zhong Xia Hu 15 191 0 17 Mar 2023
Finding Competence Regions in Domain Generalization Jens Müller Stefan T. Radev R. Schmier Felix Dräxler Carsten Rother Ullrich Kothe 14 4 0 17 Mar 2023
RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based Meta-Learning Min Zhang Zifeng Zhuang Zhitao Wang Donglin Wang Wen-Bin Li 46 5 0 12 Mar 2023