Discrete Few-Shot Learning for Pan Privacy

no code implementations • 23 Jun 2020 • Roei Gelbhart, Benjamin I. P. Rubinstein

In this paper we present the first baseline results for the task of few-shot learning of discrete embedding vectors for image recognition.

Few-Shot Learning

The Relationship Between Agnostic Selective Classification Active Learning and the Disagreement Coefficient

no code implementations • 19 Mar 2017 • Roei Gelbhart, Ran El-Yaniv

We focus on the agnostic setting, for which there is a known algorithm called LESS that learns a PCS classifier and achieves a fast rejection rate (depending on Hanneke's disagreement coefficient) under strong assumptions.

Active Learning General Classification