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Few-shot generative models
Giannone, Giorgio
(PhD Student)
Winther, Ole
(Main Supervisor)
Hauberg, Søren
(Supervisor)
Darkner, Sune
(Examiner)
Rodolà, Emanuele
(Examiner)
Cognitive Systems
Department of Applied Mathematics and Computer Science
Overview
Fingerprint
Publications
(1)
Project Details
Status
Finished
Effective start/end date
01/06/2020
→
15/07/2024
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Generative Model
Computer Science
100%
Deep Generative Model
Computer Science
100%
Autoencoder
Computer Science
50%
Engineering
Engineering
28%
Language Modeling
Computer Science
25%
Training Data
Computer Science
25%
Scientific Application
Computer Science
25%
Machine Learning
Computer Science
25%
Research output
Research output per year
2024
2024
2024
1
Ph.D. thesis
Research output per year
Research output per year
Few-Shot Generative Models. Learning Generative Models with Limited Data
Giannone, G.,
2024
,
Technical University of Denmark
.
170 p.
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Deep Generative Model
100%
Generative Model
100%
Learning System
100%
Variational Autoencoder
100%
Autoencoder
50%
528
Downloads (Orbit)