49 citations · 151 across the 32 of their papers we have counts for
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cs.LG2017
Estimating the Success of Unsupervised Image to Image Translation
Sagie Benaim, Tomer Galanti, Lior Wolf
While in supervised learning, the validation error is an unbiased estimator of the generalization (test) error and complexity-based generalization bounds are abundant, no such boun…
cs.LG2017★ 11 cited
The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings
Tomer Galanti, Lior Wolf, Sagie Benaim
We discuss the feasibility of the following learning problem: given unmatched samples from two domains and nothing else, learn a mapping between the two, which preserves semantics.…
cs.LG2017★ 5 cited
A Theory of Output-Side Unsupervised Domain Adaptation
Tomer Galanti, Lior Wolf
When learning a mapping from an input space to an output space, the assumption that the sample distribution of the training data is the same as that of the test data is often viola…