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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

AI safety

Learning with limited supervision

Multitask learning

Recent Publications

Penso, Coby ; Goldberger, Jacob ; Fetaya, Ethan. / Conformal Prediction of Classifiers with Many Classes based on Noisy Labels. In: Proceedings of Machine Learning Research. 2025 ; Vol. 266. pp. 82-95.
Glazer, Neta ; Chernin, David ; Achituve, Idan et al. / Few-Shot Speech Deepfake Detection Adaptation with Gaussian Processes. In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. 2025 ; pp. 2240-2244.
Eby, Jonathan ; Beutel, Moshe ; Koivisto, David et al. / Electromyographic typing gesture classification dataset for neurotechnological human-machine interfaces. In: Scientific data. 2025 ; Vol. 12, No. 1.
Achituve, Idan ; Habi, Hai Victor ; Rosenfeld, Amir et al. / Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo. In: Proceedings of Machine Learning Research. 2025 ; Vol. 267.