Ranzato, Marc'Aurelio

21 publications

NeurIPS 2022 Towards Learning Universal Hyperparameter Optimizers with Transformers Yutian Chen, Xingyou Song, Chansoo Lee, Zi Wang, Richard Zhang, David Dohan, Kazuya Kawakami, Greg Kochanski, Arnaud Doucet, Marc'Aurelio Ranzato, Sagi Perel, Nando de Freitas

JMLR 2021 Residual Energy-Based Models for Text Anton Bakhtin, Yuntian Deng, Sam Gross, Myle Ott, Marc'Aurelio Ranzato, Arthur Szlam

ICLR 2020 Residual Energy-Based Models for Text Generation Yuntian Deng, Anton Bakhtin, Myle Ott, Arthur Szlam, Marc'Aurelio Ranzato

ICLR 2020 Revisiting Self-Training for Neural Sequence Generation Junxian He, Jiatao Gu, Jiajun Shen, Marc'Aurelio Ranzato

NeurIPS 2019 Large Memory Layers with Product Keys Guillaume Lample, Alexandre Sablayrolles, Marc'Aurelio Ranzato, Ludovic Denoyer, Herve Jegou

ICLR 2019 Multiple-Attribute Text Rewriting Guillaume Lample, Sandeep Subramanian, Eric Smith, Ludovic Denoyer, Marc'Aurelio Ranzato, Y-Lan Boureau

ICLR 2018 Unsupervised Machine Translation Using Monolingual Corpora Only Guillaume Lample, Alexis Conneau, Ludovic Denoyer, Marc'Aurelio Ranzato

ICLR 2018 Word Translation Without Parallel Data Guillaume Lample, Alexis Conneau, Marc'Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou

NeurIPS 2017 Fader Networks:Manipulating Images by Sliding Attributes Guillaume Lample, Neil Zeghidour, Nicolas Usunier, Antoine Bordes, Ludovic Denoyer, Marc'Aurelio Ranzato

NeurIPS 2017 Gradient Episodic Memory for Continual Learning David Lopez-Paz, Marc'Aurelio Ranzato

CVPR 2017 Hard Mixtures of Experts for Large Scale Weakly Supervised Vision Sam Gross, Marc'Aurelio Ranzato, Arthur Szlam

CVPR 2015 Web-Scale Training for Face Identification Yaniv Taigman, Ming Yang, Marc'Aurelio Ranzato, Lior Wolf

CVPR 2014 DeepFace: Closing the Gap to Human-Level Performance in Face Verification Yaniv Taigman, Ming Yang, Marc'Aurelio Ranzato, Lior Wolf

CVPR 2014 PANDA: Pose Aligned Networks for Deep Attribute Modeling Ning Zhang, Manohar Paluri, Marc'Aurelio Ranzato, Trevor Darrell, Lubomir Bourdev

NeurIPS 2013 DeViSE: A Deep Visual-Semantic Embedding Model Andrea Frome, Greg S Corrado, Jon Shlens, Samy Bengio, Jeff Dean, Marc'Aurelio Ranzato, Tomas Mikolov

NeurIPS 2013 Predicting Parameters in Deep Learning Misha Denil, Babak Shakibi, Laurent Dinh, Marc'Aurelio Ranzato, Nando de Freitas

NeurIPS 2012 Large Scale Distributed Deep Networks Jeffrey Dean, Greg Corrado, Rajat Monga, Kai Chen, Matthieu Devin, Mark Mao, Marc'aurelio Ranzato, Andrew Senior, Paul Tucker, Ke Yang, Quoc V. Le, Andrew Y. Ng

NeurIPS 2010 Generating More Realistic Images Using Gated MRF's Marc'aurelio Ranzato, Volodymyr Mnih, Geoffrey E. Hinton

NeurIPS 2010 Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine George Dahl, Marc'aurelio Ranzato, Abdel-rahman Mohamed, Geoffrey E. Hinton

NeurIPS 2007 Sparse Feature Learning for Deep Belief Networks Marc'aurelio Ranzato, Y-lan Boureau, Yann L. Cun

NeurIPS 2006 Efficient Learning of Sparse Representations with an Energy-Based Model Marc'aurelio Ranzato, Christopher Poultney, Sumit Chopra, Yann L. Cun