150 citations · 488 across the 33 of their papers we have counts for
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cs.CV2020★ 1 cited
Boosting the Performance of Semi-Supervised Learning with Unsupervised Clustering
Boaz Lerner, Guy Shiran, Daphna Weinshall
Recently, Semi-Supervised Learning (SSL) has shown much promise in leveraging unlabeled data while being provided with very few labels. In this paper, we show that ignoring the lab…
cs.CV2020
Multiclass non-Adversarial Image Synthesis, with Application to Classification from Very Small Sample
Itamar Winter, Daphna Weinshall
The generation of synthetic images is currently being dominated by Generative Adversarial Networks (GANs). Despite their outstanding success in generating realistic looking images,…
cs.LG2020
Generative Latent Implicit Conditional Optimization when Learning from Small Sample
Idan Azuri, Daphna Weinshall
We revisit the long-standing problem of learning from a small sample, to which end we propose a novel method called GLICO (Generative Latent Implicit Conditional Optimization). GLI…