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DeepFace: Closing the Gap to Human-Level Performance in Face Verification.

Y. Taigman, M. Yang, M. Ranzato, and L. Wolf. CVPR, page 1701-1708. IEEE Computer Society, (2014)

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On Learning Where To Look.M. Ranzato. CoRR, (2014)Semi-supervised learning of compact document representations with deep networks.M. Ranzato, and M. Szummer. ICML, volume 307 of ACM International Conference Proceeding Series, page 792-799. ACM, (2008)Dialogue Learning With Human-in-the-Loop.J. Li, A. Miller, S. Chopra, M. Ranzato, and J. Weston. ICLR (Poster), OpenReview.net, (2017)Few-shot Sequence Learning with Transformers.L. Logeswaran, A. Lee, M. Ott, H. Lee, M. Ranzato, and A. Szlam. CoRR, (2020)NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research.J. Bornschein, A. Galashov, R. Hemsley, A. Rannen-Triki, Y. Chen, A. Chaudhry, X. He, A. Douillard, M. Caccia, Q. Feng and 10 other author(s). CoRR, (2022)The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation.N. Goyal, C. Gao, V. Chaudhary, P. Chen, G. Wenzek, D. Ju, S. Krishnan, M. Ranzato, F. Guzmán, and A. Fan. CoRR, (2021)Towards Compute-Optimal Transfer Learning.M. Caccia, A. Galashov, A. Douillard, A. Rannen-Triki, D. Rao, M. Paganini, L. Charlin, M. Ranzato, and R. Pascanu. CoRR, (2023)Large Memory Layers with Product Keys.G. Lample, A. Sablayrolles, M. Ranzato, L. Denoyer, and H. Jégou. NeurIPS, page 8546-8557. (2019)DiPaCo: Distributed Path Composition.A. Douillard, Q. Feng, A. Rusu, A. Kuncoro, Y. Donchev, R. Chhaparia, I. Gog, M. Ranzato, J. Shen, and A. Szlam. CoRR, (2024)On deep generative models with applications to recognition.M. Ranzato, J. Susskind, V. Mnih, and G. Hinton. CVPR, page 2857-2864. IEEE Computer Society, (2011)

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Disambiguation of "Ranzato, Marc'Aurelio"

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DeepFace: Closing the Gap to Human-Level Performance in Face Verification.

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Disambiguation of "Ranzato, Marc'Aurelio"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML DeepFace: Closing the Gap to Human-Level Performance in Face Verification.

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DeepFace: Closing the Gap to Human-Level Performance in Face Verification.