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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, and Y. Bengio. arXiv preprint arXiv:1602.02830, (2016)

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Itay Cnaan-On

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Spatial contrasting for deep unsupervised learning.E. Hoffer, I. Hubara, and N. Ailon. CoRR, (2016)Accurate Post Training Quantization With Small Calibration Sets.I. Hubara, Y. Nahshan, Y. Hanani, R. Banner, and D. Soudry. ICML, volume 139 of Proceedings of Machine Learning Research, page 4466-4475. PMLR, (2021)Playing SNES in the Retro Learning Environment.N. Bhonker, S. Rozenberg, and I. Hubara. ICLR (Workshop), OpenReview.net, (2017)Train longer, generalize better: closing the generalization gap in large batch training of neural networks.E. Hoffer, I. Hubara, and D. Soudry. NIPS, page 1731-1741. (2017)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, and D. Soudry. CoRR, (2019)Fix your classifier: the marginal value of training the last weight layer.E. Hoffer, I. Hubara, and D. Soudry. ICLR (Poster), OpenReview.net, (2018)Augment Your Batch: Improving Generalization Through Instance Repetition.E. Hoffer, T. Ben-Nun, I. Hubara, N. Giladi, T. Hoefler, and D. Soudry. CVPR, page 8126-8135. Computer Vision Foundation / IEEE, (2020)The Knowledge Within: Methods for Data-Free Model Compression.M. Haroush, I. Hubara, E. Hoffer, and D. Soudry. CVPR, page 8491-8499. Computer Vision Foundation / IEEE, (2020)Binarized Neural Networks.I. Hubara, D. Soudry, and R. El-Yaniv. CoRR, (2016)Towards Cheaper Inference in Deep Networks with Lower Bit-Width Accumulators.Y. Blumenfeld, I. Hubara, and D. Soudry. CoRR, (2024)

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Binarized neural networks: Training deep neural networks with weights and activations constrained to+ 1 or-1

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Itay Cnaan-On

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Disambiguation of "Hubara, Itay"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Binarized neural networks: Training deep neural networks with weights and activations constrained to+ 1 or-1

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Itay Cnaan-On

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Binarized neural networks: Training deep neural networks with weights and activations constrained to+ 1 or-1