Elad Eban

Elad Eban

Dr. Elad Eban is a staff research scientist at Google Research (Perception). Since joining Google in 2015, he focused his research on leveraging ML theory towards designing better algorithms that can be directly integrated into production systems. Models utilizing his work have been deployed in various Google products serving billions of users. Previously, Elad founded an ML consulting firm supporting startups and small companies. Elad's research has been published in top-tier journals such as Nature Neuroscience, and presented in top machine learning and computer vision conferences such as ICML (including a best paper award), CVPR, and UAI. He obtained his PhD in 2015 from the Hebrew University of Jerusalem under the supervision of Amir Globerson and Shai Shalev-Shwartz.
Authored Publications
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    Google
Neighbourhood Distillation: On the benefits of non end-to-end distillation
Laëtitia Shao
Max Moroz
Yair Movshovitz-Attias
arix (2020)
Fine-Grained Stochastic Architecture Search
Shraman Ray Chaudhuri
Hanhan Li
Max Moroz
Yair Movshovitz-Attias
ICLR Workshop on Neural Architecture Search, @article{chaudhuri2020fine, title={Fine-grained stochastic architecture search}, author={Chaudhuri, Shraman Ray and Eban, Elad and Li, Hanhan and Moroz, Max and Movshovitz-Attias, Yair}, journal={ICLR Workshop on Neural Architecture Search}, year={2020} } (2020)
Structured Multi-Hashing for Model Compression
Yair Movshovitz-Attias
Andrew Poon
Yerlan Idelbayev
Miguel A. Carreira-Perpinan
(2019)
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks
Ariel Gordon
Ofir Nachum
Bo Chen
Tien-Ju Yang
Edward Choi
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2018)