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Few-shot Learning with Retrieval Augmented Language Models


Aug 08, 2022
Gautier Izacard, Patrick Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel, Edouard Grave


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Improving Wikipedia Verifiability with AI


Jul 08, 2022
Fabio Petroni, Samuel Broscheit, Aleksandra Piktus, Patrick Lewis, Gautier Izacard, Lucas Hosseini, Jane Dwivedi-Yu, Maria Lomeli, Timo Schick, Pierre-Emmanuel Mazaré, Armand Joulin, Edouard Grave, Sebastian Riedel


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Masking schemes for universal marginalisers


Jan 16, 2020
Divya Gautam, Maria Lomeli, Kostis Gourgoulias, Daniel H. Thompson, Saurabh Johri

* To be published in Proceedings of the 2nd Symposium on Advances in Approximate Bayesian Inference, 2019 

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Universal Marginaliser for Deep Amortised Inference for Probabilistic Programs


Oct 16, 2019
Robert Walecki, Kostis Gourgoulias, Adam Baker, Chris Hart, Chris Lucas, Max Zwiessele, Albert Buchard, Maria Lomeli, Yura Perov, Saurabh Johri


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Universal Marginalizer for Amortised Inference and Embedding of Generative Models


Nov 12, 2018
Robert Walecki, Albert Buchard, Kostis Gourgoulias, Chris Hart, Maria Lomeli, A. K. W. Navarro, Max Zwiessele, Yura Perov, Saurabh Johri


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Antithetic and Monte Carlo kernel estimators for partial rankings


Jul 25, 2018
Maria Lomeli, Mark Rowland, Arthur Gretton, Zoubin Ghahramani


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General Latent Feature Models for Heterogeneous Datasets


Mar 08, 2018
Isabel Valera, Melanie F. Pradier, Maria Lomeli, Zoubin Ghahramani

* Software library available at https://github.com/ivaleraM/GLFM 

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