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Itay Hubara

Itay Hubara has 2 papers in our library, in 2016, most of them on Efficient models & compression; often with Daniel Soudry, Matthieu Courbariaux, Ran El-Yaniv.

2 papers in our library · 2016

OpenAlex · h-index 14 · 34 works · 6,181 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 251 times in our library · ⭐ Paper Stars ranking: #930

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Technion – Israel Institute of TechnologyHaifa · Israel2014–2024 · 14 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksEngineering · 2 worksComputer Vision and Pattern Recognition · 2 worksElectrical and Electronic Engineering · 2 worksArtificial Intelligence · 1 work

🧭 Topics 1Research subjects and languages the work is about.Efficient models & compression · 1 work

 Works by year

2010s

20162 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1 (2016 · 2,143 citations)
    This work tackles the cost of running deep networks on low-power hardware. Modern DNNs depend on energy-hungry GPUs and full-precision arithmetic. The authors propose Binarized Neural Networks (BNNs), in which weights and hidden activations take only the values +1 or −1. These binary values are used both at inference…
  2. Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations (2016 · 1,610 citations)
    The paper tackles the high cost of running deep networks, whose many multiply-accumulate operations make them slow and power-hungry on ordinary hardware and low-power devices.

 Co-authors here

4 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 251 times (of the 149,439 papers whose bibliographies we read); 18 citing papers with a page here →.

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