DALTA adapts a variational topic model from a high-resource source domain to a low-resource target domain via adversarial latent alignment, separate decoders, and a consistency loss, with a claimed generalization bound.
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Understanding Cross-Domain Adaptation in Low-Resource Topic Modeling
DALTA adapts a variational topic model from a high-resource source domain to a low-resource target domain via adversarial latent alignment, separate decoders, and a consistency loss, with a claimed generalization bound.