Ranzato, Marc'Aurelio

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

Taigman, Y., Yang, M., Ranzato, M., & Wolf, L. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition

Face recognition and analysisFace and Expression Recognition

Cited by 6,542

Sequence Level Training with Recurrent Neural Networks

Ranzato, M., Chopra, S., Auli, M., & Zaremba, W. (2015) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 1,426

Gradient Episodic Memory for Continual Learning

Lopez-Paz, D., & Ranzato, M. (2017) · arXiv

Domain Adaptation and Few-Shot LearningReinforcement Learning in Robotics

Cited by 1,403

Efficient Learning of Sparse Representations with an Energy-Based Model

Ranzato, M., Poultney, C., Chopra, S., & LeCun, Y. (2007) · Advances in Neural Information Processing Systems 19

Sparse and Compressive Sensing TechniquesAdvanced Neural Network Applications

Cited by 1,106

Predicting Parameters in Deep Learning

Denil, M., Shakibi, B., Dinh, L., Ranzato, M., & de Freitas, N. (2013) · arXiv

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 853

Efficient Lifelong Learning with A-GEM

Chaudhry, A., Ranzato, M., Rohrbach, M., & Elhoseiny, M. (2018) · arXiv

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 852

Unsupervised Machine Translation Using Monolingual Corpora Only

Lample, G., Conneau, A., Denoyer, L., & Ranzato, M. (2017) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 584

PANDA: Pose Aligned Networks for Deep Attribute Modeling

Zhang, N., Paluri, M., Ranzato, M., Darrell, T., & Bourdev, L. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsFace recognition and analysis

Cited by 495

On deep generative models with applications to recognition

Ranzato, M., Susskind, J., Mnih, V., & Hinton, G. (2011) · CVPR 2011

Face and Expression RecognitionAdvanced Neural Network Applications

Cited by 237

Analyzing Uncertainty in Neural Machine Translation

Ott, M., Auli, M., Grangier, D., & Ranzato, M. (2018) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 140

Dialogue Learning With Human-In-The-Loop

Li, J., Miller, A. H., Chopra, S., Ranzato, M., & Weston, J. (2016) · arXiv

Speech and dialogue systemsReinforcement Learning in Robotics

Cited by 90

Real or Fake? Learning to Discriminate Machine from Human Generated Text

Bakhtin, A., Gross, S., Ott, M., Deng, Y., Ranzato, M., & Szlam, A. (2019) · arXiv

Topic ModelingAuthorship Attribution and Profiling

Cited by 77

Large Memory Layers with Product Keys

Lample, G., Sablayrolles, A., Ranzato, M., Denoyer, L., & Jégou, H. (2019) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 72