3 citations · 3 across the 1 of their papers we have counts for
3 papers
cs.LG2021
Sparsity-Probe: Analysis tool for Deep Learning Models
Ido Ben-Shaul, Shai Dekel
We propose a probe for the analysis of deep learning architectures that is based on machine learning and approximation theoretical principles. Given a deep learning architecture an…
cs.CV2020
Certainty Pooling for Multiple Instance Learning
Jacob Gildenblat, Ido Ben-Shaul, Zvi Lapp +1
Multiple Instance Learning is a form of weakly supervised learning in which the data is arranged in sets of instances called bags with one label assigned per bag. The bag level cla…
cs.LG2020★ 3 cited
Solving the functional Eigen-Problem using Neural Networks
Ido Ben-Shaul, Leah Bar, Nir Sochen
In this work, we explore the ability of NN (Neural Networks) to serve as a tool for finding eigen-pairs of ordinary differential equations. The question we aime to address is wheth…