Out-of-Domain Generalization from a Single Source: An Uncertainty
Quantification Approach

Out-of-Domain Generalization from a Single Source: An Uncertainty Quantification Approach

5 August 2021

Papers citing "Out-of-Domain Generalization from a Single Source: An Uncertainty Quantification Approach"

10 / 10 papers shown

Title
When Domain Generalization meets Generalized Category Discovery: An Adaptive Task-Arithmetic Driven Approach Vaibhav Rathore S. Bagchi Saikat Dutta Sarthak Mehrotra Zsolt Kira Biplab Banerjee OOD 76 1 0 19 Mar 2025
Producing Plankton Classifiers that are Robust to Dataset Shift Cheng Chen S. Kyathanahally Marta Reyes Stefanie Merkli E. Merz Emanuele Francazi Marvin Hoege F. Pomati M. Baity-Jesi 18 2 0 25 Jan 2024
Are Data-driven Explanations Robust against Out-of-distribution Data? Tang Li Fengchun Qiao Mengmeng Ma Xiangkai Peng OODD OOD 33 10 0 29 Mar 2023
Modality-Agnostic Debiasing for Single Domain Generalization Sanqing Qu Yingwei Pan Guang-Sheng Chen Ting Yao Changjun Jiang Tao Mei 33 20 0 13 Mar 2023
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
Disentangling Adversarial Robustness and Generalization David Stutz Matthias Hein Bernt Schiele AAML OOD 188 273 0 03 Dec 2018
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 202 498 0 11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 170 666 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,684 0 09 Mar 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015