Vista lab, Taub Building
I’m a CS M.Sc. student in Technion, advised by Alex Bronstein and Avi Mendelson. You can find more details about my experience in resume.
Research interests: Self-supervised deep learning, applications of DL in physics, complex computer vision problems (e.g., panoptic segmentation, action segmentation), deep learning for 3D, Bayesian DL, bias in ML systems. I also have a Telegram channel where I post links to research I find interesting.
Previously: I was a research intern in Creative Vision team in Snap Research in Summer 2020. Before starting my Master’s, I was part of Rothschild Technion Program for Excellence and received double B.Sc. (CS and Physics+Math) from Technion.
|Jan 10, 2021||Our paper “Early-stage neural network hardware performance analysis” got accepted to Special Issue “Energy-Efficient Computing Systems for Deep Learning” of Sustainability journal.|
|Oct 31, 2020||Our paper “Self-Supervised Learning for Large-Scale Unsupervised Image Clustering” got accepted to Self-Supervised Learning - Theory and Practice workshop at NeurIPS 2020.|
- arXivContrast to Divide: Self-Supervised Pre-Training for Learning with Noisy LabelsarXiv pre-print 2021
workshopSelf-Supervised Learning for Large-Scale Unsupervised Image ClusteringNeurIPS Self-Supervised Learning Workshop 2020
- arXivCAT: Compression-Aware Training for Bandwidth ReductionarXiv pre-print 2019