Search Results for author: Tiago Ramalho

Found 7 papers, 4 papers with code

Learning to encode spatial relations from natural language

no code implementations ICLR 2019 Tiago Ramalho, Tomas Kocisky‎, Frederic Besse, S. M. Ali Eslami, Gabor Melis, Fabio Viola, Phil Blunsom, Karl Moritz Hermann

Natural language processing has made significant inroads into learning the semantics of words through distributional approaches, however representations learnt via these methods fail to capture certain kinds of information implicit in the real world.

An empirical study of pretrained representations for few-shot classification

no code implementations3 Oct 2019 Tiago Ramalho, Thierry Sousbie, Stefano Peluchetti

Recent algorithms with state-of-the-art few-shot classification results start their procedure by computing data features output by a large pretrained model.

Adversarial Robustness Classification +2

Density estimation in representation space to predict model uncertainty

no code implementations20 Aug 2019 Tiago Ramalho, Miguel Miranda

Deep learning models frequently make incorrect predictions with high confidence when presented with test examples that are not well represented in their training dataset.

Density Estimation Image Classification +1

Encoding Spatial Relations from Natural Language

2 code implementations4 Jul 2018 Tiago Ramalho, Tomáš Kočiský, Frederic Besse, S. M. Ali Eslami, Gábor Melis, Fabio Viola, Phil Blunsom, Karl Moritz Hermann

Natural language processing has made significant inroads into learning the semantics of words through distributional approaches, however representations learnt via these methods fail to capture certain kinds of information implicit in the real world.

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