1 citations · 2 across the 9 of their papers we have counts for
4 papers · 1 filter
Efficient Verification-Based Face Identification
Amit Rozner, Barak Battash, Ofir Lindenbaum +1
We study the problem of performing face verification with an efficient neural model . The efficiency of stems from simplifying the face verification problem from an embeddin…
Anomaly Detection with Variance Stabilized Density Estimation
Amit Rozner, Barak Battash, Henry Li +2
We propose a modified density estimation problem that is highly effective for detecting anomalies in tabular data. Our approach assumes that the density function is relatively stab…
Revisiting the Noise Model of Stochastic Gradient Descent
Barak Battash, Ofir Lindenbaum
The stochastic gradient noise (SGN) is a significant factor in the success of stochastic gradient descent (SGD). Following the central limit theorem, SGN was initially modeled as G…
Domain-Generalizable Multiple-Domain Clustering
Amit Rozner, Barak Battash, Lior Wolf +1
This work generalizes the problem of unsupervised domain generalization to the case in which no labeled samples are available (completely unsupervised). We are given unlabeled samp…