25 citations · 28 across the 2 of their papers we have counts for
3 papers
Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment
Alex Gabourie, Mohammad Rostami, Philip Pope +2
We address the problem of unsupervised domain adaptation (UDA) by learning a cross-domain agnostic embedding space, where the distance between the probability distributions of the…
Image to Image Translation for Domain Adaptation
Zak Murez, Soheil Kolouri, David Kriegman +2
We propose a general framework for unsupervised domain adaptation, which allows deep neural networks trained on a source domain to be tested on a different target domain without re…
Joint Dictionaries for Zero-Shot Learning
Soheil Kolouri, Mohammad Rostami, Yuri Owechko +1
A classic approach toward zero-shot learning (ZSL) is to map the input domain to a set of semantically meaningful attributes that could be used later on to classify unseen classes…