Marc'Aurelio Ranzato
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
36
Venues
10
Active years
2007–2022
Best venue rank
A*
Where they publish
Papers
36 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | ICML | Unified Scaling Laws for Routed Language Models. | Aidan Clark, Diego de Las Casas, Aurelia Guy, Arthur Mensch, Michela Paganini, Jordan Hoffmann, Bogdan Damoc, Blake A. Hechtman, Trevor Cai, Sebastian Borgeaud, George van den Driessche, Eliza Rutherford, Tom Hennigan, Matthew J. Johnson, Albin Cassirer, Chris Jones, Elena Buchatskaya, David Budden, Laurent Sifre, Simon Osindero, Oriol Vinyals, Marc'Aurelio Ranzato, Jack W. Rae, Erich Elsen, Koray Kavukcuoglu, Karen Simonyan |
| 2021 | ACL | Discriminative Reranking for Neural Machine Translation. | Ann Lee, Michael Auli, Marc'Aurelio Ranzato |
| 2021 | EACL | The Source-Target Domain Mismatch Problem in Machine Translation. | Jiajun Shen, Peng-Jen Chen, Matt Le, Junxian He, Jiatao Gu, Myle Ott, Michael Auli, Marc'Aurelio Ranzato |
| 2021 | ICLR | Efficient Continual Learning with Modular Networks and Task-Driven Priors. | Tom Veniat, Ludovic Denoyer, Marc'Aurelio Ranzato |
| 2020 | ACL | On The Evaluation of Machine Translation SystemsTrained With Back-Translation. | Sergey Edunov, Myle Ott, Marc'Aurelio Ranzato, Michael Auli |
| 2020 | ICLR | Residual Energy-Based Models for Text Generation. | Yuntian Deng, Anton Bakhtin, Myle Ott, Arthur Szlam, Marc'Aurelio Ranzato |
| 2020 | ICLR | Revisiting Self-Training for Neural Sequence Generation. | Junxian He, Jiatao Gu, Jiajun Shen, Marc'Aurelio Ranzato |
| 2019 | EMNLP | The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English. | Francisco Guzmn, Peng-Jen Chen, Myle Ott, Juan Miguel Pino, Guillaume Lample, Philipp Koehn, Vishrav Chaudhary, Marc'Aurelio Ranzato |
| 2019 | ICCV | Task-Driven Modular Networks for Zero-Shot Compositional Learning. | Senthil Purushwalkam, Maximilian Nickel, Abhinav Gupta, Marc'Aurelio Ranzato |
| 2019 | ICLR | Efficient Lifelong Learning with A-GEM. | Arslan Chaudhry, Marc'Aurelio Ranzato, Marcus Rohrbach, Mohamed Elhoseiny |
| 2019 | ICLR | Multiple-Attribute Text Rewriting. | Guillaume Lample, Sandeep Subramanian, Eric Michael Smith, Ludovic Denoyer, Marc'Aurelio Ranzato, Y-Lan Boureau |
| 2019 | ICML | Mixture Models for Diverse Machine Translation: Tricks of the Trade. | Tianxiao Shen, Myle Ott, Michael Auli, Marc'Aurelio Ranzato |
| 2018 | EMNLP | Phrase-Based & Neural Unsupervised Machine Translation. | Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer, Marc'Aurelio Ranzato |
| 2018 | ICLR | Unsupervised Machine Translation Using Monolingual Corpora Only. | Guillaume Lample, Alexis Conneau, Ludovic Denoyer, Marc'Aurelio Ranzato |
| 2018 | ICLR | Word translation without parallel data. | Guillaume Lample, Alexis Conneau, Marc'Aurelio Ranzato, Ludovic Denoyer, Herv Jgou |
| 2018 | ICML | Analyzing Uncertainty in Neural Machine Translation. | Myle Ott, Michael Auli, David Grangier, Marc'Aurelio Ranzato |
| 2018 | NAACL | Classical Structured Prediction Losses for Sequence to Sequence Learning. | Sergey Edunov, Myle Ott, Michael Auli, David Grangier, Marc'Aurelio Ranzato |
| 2017 | CVPR | Hard Mixtures of Experts for Large Scale Weakly Supervised Vision. | Sam Gross, Marc'Aurelio Ranzato, Arthur Szlam |
| 2017 | ICLR | Dialogue Learning With Human-in-the-Loop. | Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston |
| 2017 | ICLR | Learning through Dialogue Interactions by Asking Questions. | Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston |
| 2015 | CVPR | Web-scale training for face identification. | Yaniv Taigman, Ming Yang, Marc'Aurelio Ranzato, Lior Wolf |
| 2014 | CVPR | DeepFace: Closing the Gap to Human-Level Performance in Face Verification. | Yaniv Taigman, Ming Yang, Marc'Aurelio Ranzato, Lior Wolf |
| 2014 | CVPR | PANDA: Pose Aligned Networks for Deep Attribute Modeling. | Ning Zhang, Manohar Paluri, Marc'Aurelio Ranzato, Trevor Darrell, Lubomir D. Bourdev |
| 2013 | ICASSP | Multilingual acoustic models using distributed deep neural networks. | Georg Heigold, Vincent Vanhoucke, Andrew W. Senior, Patrick Nguyen, Marc'Aurelio Ranzato, Matthieu Devin, Jeffrey Dean |
| 2013 | ICASSP | An empirical study of learning rates in deep neural networks for speech recognition. | Andrew W. Senior, Georg Heigold, Marc'Aurelio Ranzato, Ke Yang |
| 2013 | ICASSP | On rectified linear units for speech processing. | Matthew D. Zeiler, Marc'Aurelio Ranzato, Rajat Monga, Mark Z. Mao, K. Yang, Quoc Viet Le, Patrick Nguyen, Andrew W. Senior, Vincent Vanhoucke, Jeffrey Dean, Geoffrey E. Hinton |
| 2012 | ICML | Building high-level features using large scale unsupervised learning. | Quoc V. Le, Marc'Aurelio Ranzato, Rajat Monga, Matthieu Devin, Greg Corrado, Kai Chen, Jeffrey Dean, Andrew Y. Ng |
| 2011 | CVPR | On deep generative models with applications to recognition. | Marc'Aurelio Ranzato, Joshua M. Susskind, Volodymyr Mnih, Geoffrey E. Hinton |
| 2011 | ICML | On Autoencoders and Score Matching for Energy Based Models. | Kevin Swersky, Marc'Aurelio Ranzato, David Buchman, Benjamin M. Marlin, Nando de Freitas |
| 2010 | CVPR | Modeling pixel means and covariances using factorized third-order boltzmann machines. | Marc'Aurelio Ranzato, Geoffrey E. Hinton |
| 2009 | CVPR | Learning invariant features through topographic filter maps. | Koray Kavukcuoglu, Marc'Aurelio Ranzato, Rob Fergus, Yann LeCun |
| 2009 | ICCV | What is the best multi-stage architecture for object recognition? | Kevin Jarrett, Koray Kavukcuoglu, Marc'Aurelio Ranzato, Yann LeCun |
| 2008 | ICML | Semi-supervised learning of compact document representations with deep networks. | Marc'Aurelio Ranzato, Martin Szummer |
| 2007 | CVPR | Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition. | Marc'Aurelio Ranzato, Fu Jie Huang, Y-Lan Boureau, Yann LeCun |
| 2007 | ICDAR | Energy-Based Models in Document Recognition and Computer Vision. | Yann LeCun, Sumit Chopra, Marc'Aurelio Ranzato, Fu Jie Huang |
| 2007 | ICDAR | A Sparse and Locally Shift Invariant Feature Extractor Applied to Document Images. | Marc'Aurelio Ranzato, Yann LeCun |