Itay Evron

About me

I am a PhD student at the Electrical Engineering department at the Technion, under supervision of Prof. Daniel Soudry.

My research currently focuses on theoretical aspects of Continual Learning.

Feel free to reach out by mail: itay (@) evron.me

Continual Learning in Linear Classification on Separable Data.
- Evron, Moroshko, Buzaglo, Khriesh, Marjieh, Srebro, and Soudry. ICML 2023.
The Role of Codeword-to-Class Assignments in Error Correcting Codes: An Empirical Study
- Evron, Onn, Weiss, Azeroual, and Soudry. AISTATS 2023.
- Github project.
How catastrophic can catastrophic forgetting be in linear regression?
- Evron, Moroshko, Ward, Srebro, and Soudry. COLT 2022.
How do infinite width bounded norm networks look in function space?
- Savarese, Evron, Soudry, and Srebro. COLT 2019.
Towards Learning of Filter Level Heterogeneous Compression of Convolutional Neural Networks
- Zur, Baskin, Zheltonozhskii, Chmiel, Evron, Bronstein, and Mendelson.
  Automated Machine Learning Workshop at ICML 2019.
Efficient Loss Based Decoding on Graphs for Extreme Classification
- Evron , Moroshko, and Crammer. NeurIPS 2018.
- Github project.

2020 - Today | Ph.D. in Electrical Engineering | Technion
- Studies machine learning under supervision of Prof. Daniel Soudry.
- Focused on theoretical aspects of continual learning.
2015 - 2018 | M.Sc. in Computer Science | Technion | Magna cum Lauda
- Studied machine learning under supervision of Prof. Koby Crammer.
- Focused on extreme classification - multi class tasks with an extremely large number of classes.
2012 - 2015 | B.Sc. in Computer Science | The College of Management | Magna cum Lauda

2018 - 2019 | Research intern | eBay
- Developed both NLP and Computer Vision models for real-world problems.
2013 - 2015 | Senior developer | Quali ltd.