Search Results for author: Tiago Falk

Found 4 papers, 2 papers with code

Learning Semantic Similarities for Prototypical Classifiers

no code implementations1 Jan 2021 Joao Monteiro, Isabela Albuquerque, Jahangir Alam, Tiago Falk

Recent metric learning approaches parametrize semantic similarity measures through the use of an encoder trained along with a similarity model, which operates over pairs of representations.

Few-Shot Learning Metric Learning +4

On The Performance of Time-Pooling Strategies for End-to-End Spoken Language Identification

no code implementations LREC 2020 Joao Monteiro, Md Jahangir Alam, Tiago Falk

Automatic speech processing applications often have to deal with the problem of aggregating local descriptors (i. e., representations of input speech data corresponding to specific portions across the time dimension) and turning them into a single fixed-dimension representation, known as global descriptor, on top of which downstream classification tasks can be performed.

Language Identification Representation Learning +1

An end-to-end approach for the verification problem: learning the right distance

1 code implementation ICML 2020 Joao Monteiro, Isabela Albuquerque, Jahangir Alam, R. Devon Hjelm, Tiago Falk

In this contribution, we augment the metric learning setting by introducing a parametric pseudo-distance, trained jointly with the encoder.

Metric Learning

Multi-objective training of Generative Adversarial Networks with multiple discriminators

1 code implementation ICLR 2019 Isabela Albuquerque, João Monteiro, Thang Doan, Breandan Considine, Tiago Falk, Ioannis Mitliagkas

Recent literature has demonstrated promising results for training Generative Adversarial Networks by employing a set of discriminators, in contrast to the traditional game involving one generator against a single adversary.

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