Causal Factor Disentanglement for Few-Shot Domain Adaptation in Video Prediction

Causal Factor Disentanglement for Few-Shot Domain Adaptation in Video Prediction

An important challenge in machine learning is performing with accuracy when few training samples are available from the target distribution. If a large number of training samples from a related distribution are available, transfer learning can be used to improve the performance. This paper investiga...

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Bibliographic Details
Main Authors:	Nathan Cornille, Katrien Laenen, Jingyuan Sun, Marie-Francine Moens
Format:	Article
Language:	English
Published:	MDPI AG 2023-11-01
Series:	Entropy
Subjects:	causal representation learning video prediction transfer learning few-shot learning
Online Access:	https://www.mdpi.com/1099-4300/25/11/1554

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