Evgenii Zheltonozhskii

Technion – Israel Institute of Technology.


Lewiner Institute for Theoretical Physics, room 407


Haifa, 3200003

I’m a Physics Ph.D. student in Technion, advised by Netanel Lindner. You can find more details about my experience in resume.

Research interests: I’m interested in condensed matter theory and, in particular, topological phases as well as application of deep learning and self-supervised learning in physics. I also have a Telegram channel where I post links to research I find interesting.

Previously: I finished CS M.Sc. in Technion, advised by Alex Bronstein, Avi Mendelson, and Chaim Baskin, and studied reduced supervision in computer vision (in particular, self-supervised and semi-supervised learning). I was a research intern in Creative Vision team in Snap Research in Summer 2020, working on 3D reconstruction trained on single 2D views. Before that, I was part of Rothschild Technion Program for Excellence and received double B.Sc. (CS and Physics+Math) (Cum Laude) from Technion.


Jan 13, 2022 Our paper “Weakly Supervised Recovery of Semantic Attributes” got accepted to CLeaR 2022.
Oct 4, 2021 Our paper “Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels” (C2D) got accepted to WACV 2022.
Aug 26, 2021 Our paper “CAT: Compression-Aware Training for Bandwidth Reduction” got accepted to JMLR.
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.

selected publications

  1. arXiv
    End-to-End Referring Video Object Segmentation with Multimodal Transformers
    Adam Botach, Evgenii Zheltonozhskii, and Chaim Baskin
    arXiv pre-print Nov 2021
  2. Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels
    Evgenii Zheltonozhskii, Chaim Baskin, Avi Mendelson, Alex M. Bronstein, and Or Litany
    In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Jan 2022
  3. NeurIPS
    Self-Supervised Learning for Large-Scale Unsupervised Image Clustering
    Evgenii Zheltonozhskii, Chaim Baskin, Alex M. Bronstein, and Avi Mendelson
    NeurIPS Self-Supervised Learning Workshop Aug 2020