Provable Tempered Overfitting of Minimal Nets and Typical Nets

• Harel, Hoza, Vardi, Evron, Srebro, and Soudry. NeurIPS 2024.

• Workshop version (HiLD @ ICML 2024)

The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting – An Analytical Model

• Goldfarb*, Evron*, Weinberger, Soudry, and Hand. ICLR 2024.

• Poster | 4 min video.

Continual Learning in Linear Classification on Separable Data

• Evron, Moroshko, Buzaglo, Khriesh, Marjieh, Srebro, and Soudry. ICML 2023.

• 5 min video.

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.

• 15 min video (English) | 1 h talk at the Hebrew University (Hebrew).

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.

Introduction to Machine Learning

Project advisor in Machine Learning

Numerical Algorithms

Project advisor in Artificial Intelligence

Introduction to Artificial Intelligence

Algorithms 1

Introduction to Computer Science