NIQ Published Papers

Prototypical Extreme Multi-label Classification with a Dynamic Margin Loss

Kunal Dahiya, Diego Ortego, David Jiménez

NAACL’25

April 2025

LEA: Improving sentence similarity robustness to typos using lexical attention bias

Mario Almagro, David Jiménez, Diego Ortego, Emilio J. Almazán

KDD’23

August 6-10, 2023

Combining Graph and Recurrent Networks for Efficient and Effective Segment Tagging

David Montero, Javier Yebes

LoG’22

December 12, 2022

Key Information Extraction in Purchase Documents using Deep Learning and Rule-based Corrections

Roberto Arroyo, Javier Yebes, Elena Martínez, Héctor Corrales, Javier Lorenzo

COLING’22 (PAN-DL Workshop)

October 17, 2022

Multilevel Hypernode Graphs for Effective and Efficient Entity Linking

David Montero, Javier Martínez, Javier Yebes

COLING’22 (TextGraphs Workshop)

October 16, 2022

Graph Attention Networks for Efficient Text Line Detection on Receipt-Layout Documents

David Montero Martín, Mukul Kumar, Javier Yebes

KDD’22 (Document Intelligent Workshop)

August 14, 2022

Block-SCL: blocking matters for supervised contrastive learning in product matching

Mario Almagro, David Jiménez, Diego Ortego, Emilio J. Almazán, Eva Martínez

SIGIR’22 (E-Com Workshop)

July 15, 2022

Fine-tuning your answers: A bag of tricks for improving VQA models

Roberto Arroyo, Sergio Álvarez Pardo, Aitor Aller, Luis M. Bergasa, Miguel E. Ortiz

Multimedia Tools And Applications (MTAP) – Journal

January 8, 2022

Multi-label classification of promotions in digital leaflets using textual and visual information

Roberto Arroyo, David Jiménez, Javier Martínez

COLING’20 (E-Commerce Workshop)

December 12, 2020

Survival loss: A neuron death regularizer

Emilio Almazan, Javier Tovar and Alejandro de la Calle

WAF’20 (Workshop of Physical Agents)

November 20, 2020

Towards Fine-Tuning of VQA Models in Public Datasets

Miguel E. Ortiz, Luis M. Bergasa, Roberto Arroyo, Sergio Alvarez Pardo, Aitor Aller

WAF’20

November 19, 2020

Deep Learning of Visual and Textual Data for Region Detection Applied to Item Coding

Roberto Arroyo, Javier Tovar, Francisco J. Delgado, Emilio J. Almazán, Diego G. Serrador, Antonio Hurtado

IbPRIA’19

July 1, 2019

Integration of Text-maps in Convolutional Neural Networks for Region Detection among Different Textual Categories

Roberto Arroyo, Javier Tovar, Francisco J. Delgado, Emilio J. Almazán, Diego G. Serrador, Antonio Hurtado

CVPR’19 (Workshop on Language and Vision)

June 16, 2019

Geometric interpretation of a CNN’s last layer

Alejandro de la Calle, Javier Tovar, Emilio J. Almazán, Aitor Aller

CVPR’19 – Workshop on Explainable AI

June 16, 2019