🧑‍🔬 Marc'Aurelio Ranzato — all works

28 works · ← Marc'Aurelio Ranzato

1. Large Scale Distributed Deep Networks ↗no summary yetJay B. Dean et al.2012 · 3,047 citations
2. DeViSE: A Deep Visual-Semantic Embedding Model ↗no summary yetAndrea Frome et al.2013 · 2,055 citations
3. Sequence Level Training with Recurrent Neural NetworksarXiv:1511.06732Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, et al.2015 · 1,370 citations
4. Word Translation Without Parallel Data ↗ICLR 2018 (arXiv:1710.04087) · no summary yetAlexis Conneau et al.2018 · 913 citations
5. Phrase-Based & Neural Unsupervised Machine Translation ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetGuillaume Lample et al.2018 · 910 citations
6. The Flores-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation ↗Transactions of the Association for Computational Linguistics · no summary yetNaman Goyal et al.2022 · 770 citations
7. Unsupervised Machine Translation Using Monolingual Corpora OnlyarXiv:1711.00043Guillaume Lample, Alexis Conneau, Ludovic Denoyer, et al.2017 · 669 citations
8. PANDA: Pose Aligned Networks for Deep Attribute Modeling ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetNing Zhang et al.2014 · 495 citations
9. The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–EnglishConference on Empirical Methods in Natural Language Processing (EMNLP)Francisco Guzmán, Peng-Jen Chen, Myle Ott, et al.2019 · 365 citations
10. Multiple-Attribute Text Rewriting. ↗International Conference on Learning Representations · no summary yetGuillaume Lample et al.2018 · 312 citations
11. Fader Networks: Manipulating Images by Sliding Attributes ↗arXiv (Cornell University) · no summary yetGuillaume Lample et al.2017 · 286 citations
12. Learning invariant features through topographic filter maps ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetKoray Kavukcuoglu et al.2009 · 281 citations
13. Classical Structured Prediction Losses for Sequence to Sequence LearningConference of the North American Chapter of the Association for Computational Linguistics (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 ↗arXiv:1902.01382 · no summary yetFrancisco Guzman et al.2019 · 242 citations
15. Web-scale training for face identification ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYaniv Taigman et al.2015 · 233 citations
16. Building high-level features using large scale unsupervised learning ↗International Conference on Machine Learning · no summary yetMarc’Aurelio Ranzato et al.2012 · 228 citations
17. Analyzing Uncertainty in Neural Machine TranslationarXiv:1803.00047Myle Ott, Michael Auli, David Grangier, et al.2018 · 195 citations
18. Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition ↗arXiv (Cornell University) · no summary yetKoray Kavukcuoglu, Marc’Aurelio Ranzato, Yann LeCun2010 · 190 citations
19. On The Evaluation of Machine Translation Systems Trained With Back-TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Sergey Edunov, Myle Ott, Marc'Aurelio Ranzato, et al.2020 · 140 citations
20. Large Memory Layers with Product Keys ↗arXiv (Cornell University) · no summary yetGuillaume Lample et al.2019 · 111 citations
21. Multiple-Attribute Text Style Transfer ↗arXiv:1811.00552 · no summary yetSandeep Subramanian et al.2018 · 88 citations
22. Hard Mixtures of Experts for Large Scale Weakly Supervised Vision ↗arXiv:1704.06363 · no summary yetSam Gross, Marc'Aurelio Ranzato, Arthur Szlam2017 · 85 citations
23. Transformation-Based Models of Video Sequences ↗arXiv (Cornell University) · no summary yetJoost van Amersfoort et al.2017 · 60 citations
24. Appendix: Building high-level features using large scale unsupervised learning ↗no summary yetQuoc Viet Le et al.2012 · 35 citations
25. Scale-invariant learning and convolutional networks ↗Applied and Computational Harmonic Analysis · no summary yetSoumith Chintala et al.2016 · 10 citations
26. Training Language Models Using Target-Propagation ↗arXiv (Cornell University) · no summary yetSam Wiseman et al.2017 · 8 citations
27. Fader Networks: Generating Image Variations by Sliding Attribute Values ↗HAL (Le Centre pour la Communication Scientifique Directe) · no summary yetGuillaume Lample et al.2017 · 3 citations
28. Decoupled DiLoCo for Resilient Distributed Pre-training ↗arXiv (Cornell University) · no summary yetArthur Douillard et al.2026

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