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Found 3 papers, 1 papers with code
Deep Unsupervised Domain Adaptation for Time Series Classification: a Benchmark
Unsupervised Domain Adaptation (UDA) aims to harness labeled source data to train models for unlabeled target data.
Knothe-Rosenblatt transport for Unsupervised Domain Adaptation
Knothe-Rosenblatt Domain Adaptation (KRDA) is based on the Knothe-Rosenblatt transport: we exploit autoregressive density estimation algorithms to accurately model the different sources by an autoregressive model using a mixture of Gaussians.
EMTL: A Generative Domain Adaptation Approach
We propose an unsupervised domain adaptation approach based on generative models.
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