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Towards a Theoretical Framework of Out-of-Distribution Generalization

Towards a Theoretical Framework of Out-of-Distribution Generalization

8 June 2021
Haotian Ye
Chuanlong Xie
Tianle Cai
Ruichen Li
Zhenguo Li
Liwei Wang
    OODD
    OOD
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Papers citing "Towards a Theoretical Framework of Out-of-Distribution Generalization"

14 / 14 papers shown
Title
Risk Analysis and Design Against Adversarial Actions
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
Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach
Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach
Nicolas Atienza
Christophe Labreuche
Johanne Cohen
Michele Sebag
OODD
AAML
57
0
0
20 Jan 2025
Feature contamination: Neural networks learn uncorrelated features and fail to generalize
Feature contamination: Neural networks learn uncorrelated features and fail to generalize
Tianren Zhang
Chujie Zhao
Guanyu Chen
Yizhou Jiang
Feng Chen
OOD
MLT
OODD
59
2
0
05 Jun 2024
Towards a Better Evaluation of Out-of-Domain Generalization
Towards a Better Evaluation of Out-of-Domain Generalization
Duhun Hwang
Suhyun Kang
Moonjung Eo
Jimyeong Kim
Wonjong Rhee
33
0
0
30 May 2024
Kernel PCA for Out-of-Distribution Detection
Kernel PCA for Out-of-Distribution Detection
Kun Fang
Qinghua Tao
Kexin Lv
M. He
Xiaolin Huang
Jie-jin Yang
OODD
39
2
0
05 Feb 2024
Environment-biased Feature Ranking for Novelty Detection Robustness
Stefan Smeu
Elena Burceanu
Emanuela Haller
Andrei Liviu Nicolicioiu
OOD
26
0
0
21 Sep 2023
BERM: Training the Balanced and Extractable Representation for Matching
  to Improve Generalization Ability of Dense Retrieval
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
A principled approach to model validation in domain generalization
Boyang Lyu
Thuan Q. Nguyen
matthias. scheutz
Prakash Ishwar
Shuchin Aeron
23
2
0
02 Apr 2023
PlasmoFAB: A Benchmark to Foster Machine Learning for Plasmodium
  falciparum Protein Antigen Candidate Prediction
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
6
1
0
16 Jan 2023
Quantifying and Improving Transferability in Domain Generalization
Quantifying and Improving Transferability in Domain Generalization
Guojun Zhang
Han Zhao
Yaoliang Yu
Pascal Poupart
29
37
0
07 Jun 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization
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
43
1,165
0
02 Mar 2021
Does Invariant Risk Minimization Capture Invariance?
Does Invariant Risk Minimization Capture Invariance?
Pritish Kamath
Akilesh Tangella
Danica J. Sutherland
Nathan Srebro
OOD
185
125
0
04 Jan 2021
Invariant Rationalization
Invariant Rationalization
Shiyu Chang
Yang Zhang
Mo Yu
Tommi Jaakkola
179
197
0
22 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx)
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
888
0
02 Mar 2020
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