Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach
S Shrestha, X Fu - The Twelfth International Conference on Learning …, 2024 - openreview.net
Unsupervised domain translation (UDT) aims to find functions that convert samples from one
domain (eg, sketches) to another domain (eg, photos) without changing the high-level …
domain (eg, sketches) to another domain (eg, photos) without changing the high-level …
[图书][B] Transfer Learning Based on Gaussian Process and Generative Adversarial Network
K Yang - 2022 - search.proquest.com
Traditional machine learning techniques can only achieve better results when the training
data source domain and the test data target domain have the same functional probability …
data source domain and the test data target domain have the same functional probability …