28 citations · 41 across the 4 of their papers we have counts for
6 papers
Digital Forgetting in Large Language Models: A Survey of Unlearning Methods
Alberto Blanco-Justicia, Najeeb Jebreel, Benet Manzanares +4
The objective of digital forgetting is, given a model with undesirable knowledge or behavior, obtain a new model where the detected issues are no longer present. The motivations fo…
Giving Commands to a Self-driving Car: A Multimodal Reasoner for Visual Grounding
Thierry Deruyttere, Guillem Collell, Marie-Francine Moens
We propose a new spatial memory module and a spatial reasoner for the Visual Grounding (VG) task. The goal of this task is to find a certain object in an image based on a given tex…
Do Neural Network Cross-Modal Mappings Really Bridge Modalities?
Guillem Collell, Marie-Francine Moens
Feed-forward networks are widely used in cross-modal applications to bridge modalities by mapping distributed vectors of one modality to the other, or to a shared space. The predic…
Acquiring Common Sense Spatial Knowledge through Implicit Spatial Templates
Guillem Collell, Luc Van Gool, Marie-Francine Moens
Spatial understanding is a fundamental problem with wide-reaching real-world applications. The representation of spatial knowledge is often modeled with spatial templates, i.e., re…
Learning to Predict: A Fast Re-constructive Method to Generate Multimodal Embeddings
Guillem Collell, Teddy Zhang, Marie-Francine Moens
Integrating visual and linguistic information into a single multimodal representation is an unsolved problem with wide-reaching applications to both natural language processing and…
Reviving Threshold-Moving: a Simple Plug-in Bagging Ensemble for Binary and Multiclass Imbalanced Data
Guillem Collell, Drazen Prelec, Kaustubh Patil
Class imbalance presents a major hurdle in the application of data mining methods. A common practice to deal with it is to create ensembles of classifiers that learn from resampled…