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Tiago Ramalho

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An empirical study of pretrained representations for few-shot classification

Oct 03, 2019
Tiago Ramalho, Thierry Sousbie, Stefano Peluchetti

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Density estimation in representation space to predict model uncertainty

Oct 03, 2019
Tiago Ramalho, Miguel Miranda

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Adaptive Posterior Learning: few-shot learning with a surprise-based memory module

Feb 07, 2019
Tiago Ramalho, Marta Garnelo

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Encoding Spatial Relations from Natural Language

Jul 05, 2018
Tiago Ramalho, Tomáš Kočiský, Frederic Besse, S. M. Ali Eslami, Gábor Melis, Fabio Viola, Phil Blunsom, Karl Moritz Hermann

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Conditional Neural Processes

Jul 04, 2018
Marta Garnelo, Dan Rosenbaum, Chris J. Maddison, Tiago Ramalho, David Saxton, Murray Shanahan, Yee Whye Teh, Danilo J. Rezende, S. M. Ali Eslami

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Overcoming catastrophic forgetting in neural networks

Jan 25, 2017
James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A. Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, Raia Hadsell

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