no code implementations • 30 Jun 2022 • Asier Gutiérrez-Fandiño, David Pérez-Fernández, Jordi Armengol-Estapé, David Griol, Zoraida Callejas
However, the results in Spanish present important shortcomings, as they are either too small in comparison with other languages, or present a low quality derived from sub-optimal cleaning and deduplication.
1 code implementation • 10 Dec 2021 • Asier Gutiérrez-Fandiño, David Pérez-Fernández, Jordi Armengol-Estapé
In this work, we present the Large Labelled Logo Dataset (L3D), a multipurpose, hand-labelled, continuously growing dataset.
Ranked #1 on Image Classification on Large Labelled Logo Dataset (L3D) (Eval F1 metric)
1 code implementation • NeurIPS 2021 • Asier Gutiérrez-Fandiño, David Pérez-Fernández, Jordi Armengol-Estapé, Marta Villegas
The training of neural networks is usually monitored with a validation (holdout) set to estimate the generalization of the model.
1 code implementation • NeurIPS 2021 • David Pérez-Fernández, Asier Gutiérrez-Fandiño, Jordi Armengol-Estapé, Marta Villegas
Characterizing the structural properties of neural networks is crucial yet poorly understood, and there are no well-established similarity measures between networks.