Itay Hubara
Itay Hubara
Verified email at campus.technion.ac.il
Title
Cited by
Cited by
Year
Binarized neural networks: Training deep neural networks with weights and activations constrained to+ 1 or-1
M Courbariaux, I Hubara, D Soudry, R El-Yaniv, Y Bengio
arXiv preprint arXiv:1602.02830, 2016
18102016
Binarized neural networks
I Hubara, M Courbariaux, D Soudry, R El-Yaniv, Y Bengio
Proceedings of the 30th international conference on neural information …, 2016
11002016
Quantized neural networks: Training neural networks with low precision weights and activations
I Hubara, M Courbariaux, D Soudry, R El-Yaniv, Y Bengio
The Journal of Machine Learning Research 18 (1), 6869-6898, 2017
10462017
Train longer, generalize better: closing the generalization gap in large batch training of neural networks
E Hoffer, I Hubara, D Soudry
arXiv preprint arXiv:1705.08741, 2017
3912017
Expectation backpropagation: Parameter-free training of multilayer neural networks with continuous or discrete weights.
D Soudry, I Hubara, R Meir
NIPS 1, 2, 2014
2082014
Scalable methods for 8-bit training of neural networks
R Banner, I Hubara, E Hoffer, D Soudry
arXiv preprint arXiv:1805.11046, 2018
1022018
Mlperf inference benchmark
VJ Reddi, C Cheng, D Kanter, P Mattson, G Schmuelling, CJ Wu, ...
2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020
692020
Binarized neural networks: training deep neural networks with weights and activations constrained to+ 1 or-1. arXiv
M Courbariaux, I Hubara, D Soudry, R El-Yaniv, Y Bengio
arXiv preprint arXiv:1602.02830, 1-11, 2016
492016
Fix your classifier: the marginal value of training the last weight layer
E Hoffer, I Hubara, D Soudry
arXiv preprint arXiv:1801.04540, 2018
432018
Augment your batch: better training with larger batches
E Hoffer, T Ben-Nun, I Hubara, N Giladi, T Hoefler, D Soudry
arXiv preprint arXiv:1901.09335, 2019
232019
Deep unsupervised learning through spatial contrasting
E Hoffer, I Hubara, N Ailon
arXiv preprint arXiv:1610.00243, 2016
212016
The knowledge within: Methods for data-free model compression
M Haroush, I Hubara, E Hoffer, D Soudry
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
192020
Playing SNES in the retro learning environment
N Bhonker, S Rozenberg, I Hubara
arXiv preprint arXiv:1611.02205, 2016
192016
Quantized neural network training and inference
ELY Ran, I Hubara, D Soudry
US Patent 10,831,444, 2020
62020
Improving post training neural quantization: Layer-wise calibration and integer programming
I Hubara, Y Nahshan, Y Hanani, R Banner, D Soudry
arXiv preprint arXiv:2006.10518, 2020
42020
Mix & match: training convnets with mixed image sizes for improved accuracy, speed and scale resiliency
E Hoffer, B Weinstein, I Hubara, T Ben-Nun, T Hoefler, D Soudry
arXiv preprint arXiv:1908.08986, 2019
42019
Quantized back-propagation: Training binarized neural networks with quantized gradients
I Hubara, E Hoffer, D Soudry
42018
Augment Your Batch: Improving Generalization Through Instance Repetition
E Hoffer, T Ben-Nun, I Hubara, N Giladi, T Hoefler, D Soudry
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
32020
Spatial contrasting for deep unsupervised learning
E Hoffer, I Hubara, N Ailon
arXiv preprint arXiv:1611.06996, 2016
22016
Infer2Train: leveraging inference for better training of deep networks
E Hoffer, B Weinstein, I Hubara, S Gofman, D Soudry
NeurIPS 2018 Workshop on Systems for ML, 2018
12018
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