5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CV2022★ 5 cited
Improving Zero-Shot Models with Label Distribution Priors
Jonathan Kahana, Niv Cohen, Yedid Hoshen
Labeling large image datasets with attributes such as facial age or object type is tedious and sometimes infeasible. Supervised machine learning methods provide a highly accurate s…
cs.CV2022
A Contrastive Objective for Learning Disentangled Representations
Jonathan Kahana, Yedid Hoshen
Learning representations of images that are invariant to sensitive or unwanted attributes is important for many tasks including bias removal and cross domain retrieval. Here, our o…