Towards a Theoretical Framework of Out-of-Distribution Generalization

8 June 2021

Tianle Cai

Papers citing "Towards a Theoretical Framework of Out-of-Distribution Generalization"

22 / 22 papers shown

Title
Risk Analysis and Design Against Adversarial Actions M. Campi A. Carè Luis G. Crespo S. Garatti Federico A. Ramponi AAML 115 0 0 02 May 2025
Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach Nicolas Atienza Christophe Labreuche Johanne Cohen Michele Sebag OODD AAML 129 0 0 20 Jan 2025
Feature contamination: Neural networks learn uncorrelated features and fail to generalize Tianren Zhang Chujie Zhao Guanyu Chen Yizhou Jiang Feng Chen OOD MLT OODD 74 3 0 05 Jun 2024
Towards a Better Evaluation of Out-of-Domain Generalization Duhun Hwang Suhyun Kang Moonjung Eo Jimyeong Kim Wonjong Rhee 53 0 0 30 May 2024
Kernel PCA for Out-of-Distribution Detection Kun Fang Qinghua Tao Kexin Lv M. He Xiaolin Huang Jie-jin Yang OODD 46 2 0 05 Feb 2024
Environment-biased Feature Ranking for Novelty Detection Robustness Stefan Smeu Elena Burceanu Emanuela Haller Andrei Liviu Nicolicioiu OOD 33 0 0 21 Sep 2023
BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval Shicheng Xu Liang Pang Huawei Shen Xueqi Cheng 8 11 0 18 May 2023
A principled approach to model validation in domain generalization Boyang Lyu Thuan Q. Nguyen matthias. scheutz Prakash Ishwar Shuchin Aeron 36 2 0 02 Apr 2023
PlasmoFAB: A Benchmark to Foster Machine Learning for Plasmodium falciparum Protein Antigen Candidate Prediction Jonas C. Ditz Jacqueline Wistuba-Hamprecht Timo Maier Rolf Fendel N. Pfeifer Bernhard Reuter 11 1 0 16 Jan 2023
Exploiting Personalized Invariance for Better Out-of-distribution Generalization in Federated Learning Xueyang Tang Song Guo Jie M. Zhang FedML OODD OOD 36 3 0 21 Nov 2022
Graph Contrastive Learning with Cross-view Reconstruction Qianlong Wen Z. Ouyang Chunhui Zhang Y. Qian Yanfang Ye Chuxu Zhang SSL 17 6 0 16 Sep 2022
Doge Tickets: Uncovering Domain-general Language Models by Playing Lottery Tickets Yi Yang Chen Zhang Benyou Wang Dawei Song LRM 10 6 0 20 Jul 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
Improving Molecular Representation Learning with Metric Learning-enhanced Optimal Transport Fang Wu Nicolas Courty Shuting Jin Stan Z. Li OOD OT 13 8 0 13 Feb 2022
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 29 515 0 31 Aug 2021
Quantifying and Improving Transferability in Domain Generalization Guojun Zhang Han Zhao Yaoliang Yu Pascal Poupart 35 37 0 07 Jun 2021
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 54 980 0 03 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 54 1,169 0 02 Mar 2021
Does Invariant Risk Minimization Capture Invariance? Pritish Kamath Akilesh Tangella Danica J. Sutherland Nathan Srebro OOD 196 125 0 04 Jan 2021
Learning Causal Semantic Representation for Out-of-Distribution Prediction Chang-Shu Liu Xinwei Sun Jindong Wang Haoyue Tang Tao Li Tao Qin Wei Chen Tie-Yan Liu CML OODD OOD 24 104 0 03 Nov 2020
Invariant Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 179 201 0 22 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 901 0 02 Mar 2020