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ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization
Qishi Dong
, Awais Muhammad
, Fengwei Zhou
, Chuanlong Xie
, Tianyang Hu
, Yongxin Yang
, Sung-Ho Bae
, Zhenguo Li
*
*
Corresponding author for this work
Department of Mathematics
Research output
:
Chapter in book/report/conference proceeding
›
Conference proceeding
›
peer-review
7
Citations (Scopus)
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Keyphrases
Training Model
100%
Out-of-distribution Generalization
100%
Model Zoo
100%
Ensemble Model
37%
Distribution Task
37%
Feature Selection
25%
Model Ranking
25%
Recent Advances
12%
Challenging Tasks
12%
State-of-the-art Techniques
12%
Informative Features
12%
Noise Effects
12%
Brute Force
12%
Feature Extracting
12%
Large Set
12%
Data Distribution Shift
12%
Large-scale Training
12%
Unseen Domain
12%
Variational EM Algorithm
12%
Domain Stability
12%
Accurate Selection
12%
Computer Science
Pre-Trained Model
100%
Feature Selection
25%
Feature Extraction
25%
Data Distribution
12%
Extracted Feature
12%
Class Discriminability
12%
Cross-Validation
12%