Itay Hubara

Itay Hubara

Itay Hubara is a senior research scientist at Habana Labs, a company that develops AI accelerators for deep learning. Itay received his PhD from the Technion-Israel Institute of Technology. Itay research is focused on deep neural network acceleration for tasks such as generative AI, NLP, speech, and computer vision. He is one of the contributors to the MLPerf inference and training benchmarks, a standard for measuring the performance of machine learning systems. He has published several papers in top conferences and journals, such as NeurIPS, CVPR, ICLR, ICML, and JMLR, and has received more than 10,000 citations for his work. His research interests include deep learning, computer vision, and hardware-software co-design.

Minimum variance unbiased n: M sparsity for the neural gradients

Published in The Eleventh International Conference on Learning Representations, 2022

Recommended citation: Brian.C, Itay.H, Ron.B, Daniel.S (2022). " Minimum variance unbiased n: M sparsity for the neural gradient." ICLR 2022. 1(2). [link to paper](https://openreview.net/pdf?id=vuD2xEtxZcj)

This paper is about the number 2. The number 3 is left for future work.

Download paper here

‘Brian.C, Itay.H, Ron.B, Daniel.S (2021). " Minimum variance unbiased n: M sparsity for the neural gradient." ICLR 2022. 1(2).’