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Transfer Learning for Diffusion Models
Yidong Ouyang
,
Liyan Xie
, Hongyuan Zha
, Guang Cheng
Industrial and Systems Engineering
Research output
:
Contribution to journal
›
Conference article
›
peer-review
2
Scopus citations
Overview
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Keyphrases
Transfer Learning
100%
Diffusion Model
100%
Diffusion Process
75%
Regularization Method
50%
Target Domain
50%
Knowledge Transfer
25%
Training Model
25%
Generative Models
25%
Specific Types
25%
Associated Risk
25%
Synthetic Samples
25%
Regularization Term
25%
Risk Cost
25%
Real-world Application
25%
Model Performance
25%
Joint Distribution
25%
Data Distribution
25%
Source Domain
25%
Collection Cost
25%
Additional Guidance
25%
Number of Training Samples
25%
Domain Classifier
25%
Computer Science
Transfer Learning
100%
Diffusion Process
100%
Performance Model
33%
Regularization Term
33%
World Application
33%
Substantial Number
33%
Knowledge Transfer
33%
Generative Model
33%
Regularization
33%
Training Sample
33%
Joint Distribution
33%
Diffusion Model
33%
Simulated World
33%
Regularization Method
33%
Pre-Trained Model
33%
Engineering
Diffusion Process
100%
Transfer Learning
100%
Regularization
66%
Diffusion Model
33%
Real World Application
33%
Generative Model
33%
Regularization Method
33%
Joint Distribution
33%