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Diversity Boosted Learning for Domain Generalization with Large Number
  of Domains

Diversity Boosted Learning for Domain Generalization with Large Number of Domains

28 July 2022
Xinlin Leng
Xiaoying Tang
Yatao Bian
    AI4CE
    OOD
ArXivPDFHTML

Papers citing "Diversity Boosted Learning for Domain Generalization with Large Number of Domains"

5 / 5 papers shown
Title
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for
  AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise
  Annotations
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations
Yuanfeng Ji
Lu Zhang
Jiaxiang Wu
Bing Wu
Long-Kai Huang
...
Ping Luo
Shuigeng Zhou
Junzhou Huang
Peilin Zhao
Yatao Bian
OOD
58
73
0
24 Jan 2022
Gradient Matching for Domain Generalization
Gradient Matching for Domain Generalization
Yuge Shi
Jeffrey S. Seely
Philip H. S. Torr
Siddharth Narayanaswamy
Awni Y. Hannun
Nicolas Usunier
Gabriel Synnaeve
OOD
205
246
0
20 Apr 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
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
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
157
1,123
0
25 Jul 2012
1