Learn to Expect the Unexpected: Probably Approximately Correct Domain
Generalization

Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization

13 February 2020

Adam Kalai

Zhiwei Steven Wu

Papers citing "Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization"

7 / 7 papers shown

Title
Domain Generalization Deep Graph Transformation Shiyu Wang Guangji Bai Qi Zhu Zhaohui Qin Liang Zhao OOD 47 1 0 19 May 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
GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization Xuhai Xu Han Zhang Yasaman S. Sefidgar Yiyi Ren Xin Liu ... Tim Althoff Margaret E. Morris E. Riskin Jennifer Mankoff A. Dey 33 38 0 04 Nov 2022
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 49 516 0 31 Aug 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 1,170 0 02 Mar 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 320 11,681 0 09 Mar 2017
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 179 789 0 19 Feb 2009