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Ethan Fetaya’s Machine Learning Lab

Dr. Ethan Fetaya’s Machine Learning Lab

About

I joined the Bar-Ilan Engineering faculty in 2019. My research interests span a wide array of topics in machine learning and computer vision. Recently, I have been very interested in topics related to AI safety. More generally topics I worked on include generative models, few-shot learning, deep Bayesian models, multi-task learning, federated learning, and geometric deep learning.

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Fields of Interest

Recent Publications

Cohen, Itay ; Fetaya, Ethan ; Rosenfeld, Amir. / Can Modern Vision Models Understand the Difference Between an Object and a Look-Alike?. ב-: AI (Switzerland). 2026 ; כרך 7, מס' 4.
Shor, Tamir ; Fetaya, Ethan ; Baskin, Chaim et al. / Adversarial Attacks in Weight-Space Classifiers. ב-: Transactions on Machine Learning Research. 2026 ; כרך 2026-February.
Glazer, Neta ; Segal-Feldman, Yael ; Segev, Hilit et al. / Beyond Transcription : Mechanistic Interpretability in ASR. Proceedings of the AAAI Conference on Artificial Intelligence. עורך / Sven Koenig ; Chad Jenkins ; Matthew E. Taylor. 44. מהדורה Association for the Advancement of Artificial Intelligence, 2026. עמודים 37407-37416 (Proceedings of the AAAI Conference on Artificial Intelligence; 44).
Penso, Coby ; Goldberger, Jacob ; Fetaya, Ethan. / Conformal Prediction of Classifiers with Many Classes based on Noisy Labels. ב-: Proceedings of Machine Learning Research. 2025 ; כרך 266. עמודים 82-95.