Itay Hubara
Itay Hubara
Verified email at campus.technion.ac.il
TitleCited byYear
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
11092016
Binarized neural networks
I Hubara, M Courbariaux, D Soudry, R El-Yaniv, Y Bengio
Advances in neural information processing systems, 4107-4115, 2016
5822016
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
5392017
Train longer, generalize better: closing the generalization gap in large batch training of neural networks
E Hoffer, I Hubara, D Soudry
Advances in Neural Information Processing Systems, 1731-1741, 2017
1992017
Expectation backpropagation: Parameter-free training of multilayer neural networks with continuous or discrete weights
D Soudry, I Hubara, R Meir
Advances in Neural Information Processing Systems, 963-971, 2014
1502014
Scalable methods for 8-bit training of neural networks
R Banner, I Hubara, E Hoffer, D Soudry
Advances in Neural Information Processing Systems, 5145-5153, 2018
312018
Fix your classifier: the marginal value of training the last weight layer
E Hoffer, I Hubara, D Soudry
arXiv preprint arXiv:1801.04540, 2018
252018
Playing SNES in the retro learning environment
N Bhonker, S Rozenberg, I Hubara
arXiv preprint arXiv:1611.02205, 2016
172016
Deep unsupervised learning through spatial contrasting
E Hoffer, I Hubara, N Ailon
arXiv preprint arXiv:1610.00243, 2016
142016
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
62019
Quantized neural network training and inference
ELY Ran, I Hubara, D Soudry
US Patent App. 15/478,531, 2017
52017
MLPerf Inference Benchmark
VJ Reddi, C Cheng, D Kanter, P Mattson, G Schmuelling, CJ Wu, ...
arXiv preprint arXiv:1911.02549, 2019
22019
Quantized back-propagation: Training binarized neural networks with quantized gradients
I Hubara, E Hoffer, D Soudry
22018
Spatial contrasting for deep unsupervised learning
E Hoffer, I Hubara, N Ailon
arXiv preprint arXiv:1611.06996, 2016
12016
The Knowledge Within: Methods for Data-Free Model Compression
M Haroush, I Hubara, E Hoffer, D Soudry
arXiv preprint arXiv:1912.01274, 2019
2019
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
2019
Deep Learning Algorithm Predicts Endovascular Aortic Aneurysm Repair Same-Day Discharge with Discrimination Equivalent to a Validated Regression Model
DS Zarkowsky, B Nejim, I Hubara, CW Hicks, PP Goodney, JS Hiramoto, ...
Journal of the American College of Surgeons 227 (4), S286, 2018
2018
Binarized Back-Propagation: Training Binarized Neural Networks with Binarized Gradients
I Hubara, E Hoffer, D Soudy
2017
Infer2Train: leveraging inference for better training of deep networks
E Hoffer, B Weinstein, I Hubara, S Gofman, D Soudry
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