1 citations · 1 across the 3 of their papers we have counts for
5 papers
On the locality bias and results in the Long Range Arena
Pablo Miralles-González, Javier Huertas-Tato, Alejandro Martín +1
The Long Range Arena (LRA) benchmark was designed to evaluate the performance of Transformer improvements and alternatives in long-range dependency modeling tasks. The Transformer…
A CLIP-based siamese approach for meme classification
Javier Huertas-Tato, Christos Koutlis, Symeon Papadopoulos +2
Memes are an increasingly prevalent element of online discourse in social networks, especially among young audiences. They carry ideas and messages that range from humorous to hate…
Exploring Dimensionality Reduction Techniques in Multilingual Transformers
Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato +1
Both in scientific literature and in industry,, Semantic and context-aware Natural Language Processing-based solutions have been gaining importance in recent years. The possibiliti…
SILT: Efficient transformer training for inter-lingual inference
Javier Huertas-Tato, Alejandro Martín, David Camacho
The ability of transformers to perform precision tasks such as question answering, Natural Language Inference (NLI) or summarising, have enabled them to be ranked as one of the bes…
Fusing CNNs and statistical indicators to improve image classification
Javier Huertas-Tato, Alejandro Martín, Julián Fierrez +1
Convolutional Networks have dominated the field of computer vision for the last ten years, exhibiting extremely powerful feature extraction capabilities and outstanding classificat…