research
∙
12/03/2020
Stochastic Adversarial Gradient Embedding for Active Domain Adaptation
Unsupervised Domain Adaptation (UDA) aims to bridge the gap between a so...
share
research
∙
06/24/2020
Robust Domain Adaptation: Representations, Weights and Inductive Bias
Unsupervised Domain Adaptation (UDA) has attracted a lot of attention in...
research
∙
07/29/2019
Learning Invariant Representations for Sentiment Analysis: The Missing Material is Datasets
Learning representations which remain invariant to a nuisance factor has...
research
∙
07/29/2019
Hidden Covariate Shift: A Minimal Assumption For Domain Adaptation
Unsupervised Domain Adaptation aims to learn a model on a source domain ...
research
∙
06/02/2015