---
title: "Marc'Aurelio Ranzato — all works — Elamur Research"
description: "All 28 works of Marc'Aurelio Ranzato in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/marc-aurelio-ranzato/works/"
---
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# Marc'Aurelio Ranzato — all works

28 works · [← Marc'Aurelio Ranzato](https://md.research.elamur.ai/free/en/authors/marc-aurelio-ranzato/)

1. **[Large Scale Distributed Deep Networks ↗](https://openalex.org/W2168231600) no summary yet**Jay B. Dean et al.*2012 · 3,047 citations*
2. **[DeViSE: A Deep Visual-Semantic Embedding Model ↗](https://openalex.org/W2123024445) no summary yet**Andrea Frome et al.*2013 · 2,055 citations*
3. [**Sequence Level Training with Recurrent Neural Networks arXiv:1511.06732**Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, et al.*2015 · 1,370 citations*](https://md.research.elamur.ai/free/en/papers/ranzato-2015-sequence-level-training-recurrent-neural/)
4. **[Word Translation Without Parallel Data ↗](https://arxiv.org/abs/1710.04087) ICLR 2018 (arXiv:1710.04087) · no summary yet**Alexis Conneau et al.*2018 · 913 citations*
5. **[Phrase-Based & Neural Unsupervised Machine Translation ↗](https://aclanthology.org/D18-1549/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Guillaume Lample et al.*2018 · 910 citations*
6. **[The Flores-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation ↗](https://aclanthology.org/2022.tacl-1.30/) Transactions of the Association for Computational Linguistics · no summary yet**Naman Goyal et al.*2022 · 770 citations*
7. [**Unsupervised Machine Translation Using Monolingual Corpora Only arXiv:1711.00043**Guillaume Lample, Alexis Conneau, Ludovic Denoyer, et al.*2017 · 669 citations*](https://md.research.elamur.ai/free/en/papers/lample-2017-unsupervised-machine-translation-using-monolingual/)
8. **[PANDA: Pose Aligned Networks for Deep Attribute Modeling ↗](https://doi.org/10.1109/cvpr.2014.212) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Ning Zhang et al.*2014 · 495 citations*
9. **[The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English](https://md.research.elamur.ai/free/en/papers/guzman-2019-flores-evaluation-datasets-low-resource/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Francisco Guzmán, Peng-Jen Chen, Myle Ott, et al.*2019 · 365 citations*
10. **[Multiple-Attribute Text Rewriting. ↗](https://openalex.org/W2914442349) International Conference on Learning Representations · no summary yet**Guillaume Lample et al.*2018 · 312 citations*
11. **[Fader Networks: Manipulating Images by Sliding Attributes ↗](https://arxiv.org/abs/1706.00409) arXiv (Cornell University) · no summary yet**Guillaume Lample et al.*2017 · 286 citations*
12. **[Learning invariant features through topographic filter maps ↗](https://doi.org/10.1109/cvpr.2009.5206545) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Koray Kavukcuoglu et al.*2009 · 281 citations*
13. **[Classical Structured Prediction Losses for Sequence to Sequence Learning](https://md.research.elamur.ai/free/en/papers/edunov-2018-classical-structured-prediction-losses-sequence/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Sergey Edunov, Myle Ott, Michael Auli, et al.*2018 · 243 citations*
14. **[The FLoRes Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English ↗](https://arxiv.org/abs/1902.01382) arXiv:1902.01382 · no summary yet**Francisco Guzman et al.*2019 · 242 citations*
15. **[Web-scale training for face identification ↗](https://doi.org/10.1109/cvpr.2015.7298891) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Yaniv Taigman et al.*2015 · 233 citations*
16. **[Building high-level features using large scale unsupervised learning ↗](https://openalex.org/W2253807446) International Conference on Machine Learning · no summary yet**Marc’Aurelio Ranzato et al.*2012 · 228 citations*
17. [**Analyzing Uncertainty in Neural Machine Translation arXiv:1803.00047**Myle Ott, Michael Auli, David Grangier, et al.*2018 · 195 citations*](https://md.research.elamur.ai/free/en/papers/ott-2018-analyzing-uncertainty-neural-machine-translation/)
18. **[Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition ↗](https://arxiv.org/abs/1010.3467) arXiv (Cornell University) · no summary yet**Koray Kavukcuoglu, Marc’Aurelio Ranzato, Yann LeCun*2010 · 190 citations*
19. **[On The Evaluation of Machine Translation Systems Trained With Back-Translation](https://md.research.elamur.ai/free/en/papers/edunov-2020-evaluation-machine-translation-systems-trained/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sergey Edunov, Myle Ott, Marc'Aurelio Ranzato, et al.*2020 · 140 citations*
20. **[Large Memory Layers with Product Keys ↗](https://arxiv.org/abs/1907.05242) arXiv (Cornell University) · no summary yet**Guillaume Lample et al.*2019 · 111 citations*
21. **[Multiple-Attribute Text Style Transfer ↗](https://arxiv.org/abs/1811.00552) arXiv:1811.00552 · no summary yet**Sandeep Subramanian et al.*2018 · 88 citations*
22. **[Hard Mixtures of Experts for Large Scale Weakly Supervised Vision ↗](https://arxiv.org/abs/1704.06363) arXiv:1704.06363 · no summary yet**Sam Gross, Marc'Aurelio Ranzato, Arthur Szlam*2017 · 85 citations*
23. **[Transformation-Based Models of Video Sequences ↗](https://arxiv.org/abs/1701.08435) arXiv (Cornell University) · no summary yet**Joost van Amersfoort et al.*2017 · 60 citations*
24. **[Appendix: Building high-level features using large scale unsupervised learning ↗](https://openalex.org/W2184557417) no summary yet**Quoc Viet Le et al.*2012 · 35 citations*
25. **[Scale-invariant learning and convolutional networks ↗](https://doi.org/10.1016/j.acha.2016.06.005) Applied and Computational Harmonic Analysis · no summary yet**Soumith Chintala et al.*2016 · 10 citations*
26. **[Training Language Models Using Target-Propagation ↗](https://arxiv.org/abs/1702.04770) arXiv (Cornell University) · no summary yet**Sam Wiseman et al.*2017 · 8 citations*
27. **[Fader Networks: Generating Image Variations by Sliding Attribute Values ↗](https://openalex.org/W2751671555) HAL (Le Centre pour la Communication Scientifique Directe) · no summary yet**Guillaume Lample et al.*2017 · 3 citations*
28. **[Decoupled DiLoCo for Resilient Distributed Pre-training ↗](https://arxiv.org/abs/2604.21428) arXiv (Cornell University) · no summary yet**Arthur Douillard et al.*2026*