Self-Supervised Dynamic Networks for Covariate Shift Robustness

no code implementations • 6 Jun 2020 • Tomer Cohen, Noy Shulman, Hai Morgenstern, Roey Mechrez, Erez Farhan

As supervised learning still dominates most AI applications, test-time performance is often unexpected.

Image Classification

A combination of 'pooling' with a prediction model can reduce by 73% the number of COVID-19 (Corona-virus) tests

no code implementations • 3 May 2020 • Tomer Cohen, Lior Finkelman, Gal Grimberg, Gadi Shenhar, Ofer Strichman, Yonatan Strichman, Stav Yeger

We show that combining a prediction model (based on neural networks), with a new method of test pooling (better than the original Dorfman method, and better than double-pooling) called 'Grid', we can reduce the number of Covid-19 tests by 73%.

Bidirectional One-Shot Unsupervised Domain Mapping

1 code implementation • ICCV 2019 • Tomer Cohen, Lior Wolf

We study the problem of mapping between a domain $A$, in which there is a single training sample and a domain $B$, for which we have a richer training set.