papers
Publications (3)
cs.LG2020
Textual Membership Queries
Jonathan Zarecki, Shaul Markovitch
Human labeling of data can be very time-consuming and expensive, yet, in many cases it is critical for the success of the learning process. In order to minimize human labeling effo…
cs.LG2022
The Lean Data Scientist: Recent Advances towards Overcoming the Data Bottleneck
Chen Shani, Jonathan Zarecki, Dafna Shahaf
Machine learning (ML) is revolutionizing the world, affecting almost every field of science and industry. Recent algorithms (in particular, deep networks) are increasingly data-hun…
cs.LG2021
Topo2vec: Topography Embedding Using the Fractal Effect
Jonathan Kavitzky, Jonathan Zarecki, Idan Brusilovsky +1
Recent advances in deep learning have transformed many fields by introducing generic embedding spaces, capable of achieving great predictive performance with minimal labeling effor…