11 citations · 15 across the 4 of their papers we have counts for
4 papers
A methodology for training homomorphicencryption friendly neural networks
Moran Baruch, Nir Drucker, Lev Greenberg +1
Privacy-preserving deep neural network (DNN) inference is a necessity in different regulated industries such as healthcare, finance and retail. Recently, homomorphic encryption (HE…
Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains
Eyal Shnarch, Leshem Choshen, Guy Moshkowich +2
Approaching new data can be quite deterrent; you do not know how your categories of interest are realized in it, commonly, there is no labeled data at hand, and the performance of…
Argument Invention from First Principles
Yonatan Bilu, Ariel Gera, Daniel Hershcovich +6
Competitive debaters often find themselves facing a challenging task -- how to debate a topic they know very little about, with only minutes to prepare, and without access to books…
Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network
Martin Gleize, Eyal Shnarch, Leshem Choshen +4
With the advancement in argument detection, we suggest to pay more attention to the challenging task of identifying the more convincing arguments. Machines capable of responding an…