1 citations · 2 across the 6 of their papers we have counts for
8 papers
Bridging the visual gap in VLN via semantically richer instructions
Joaquin Ossandón, Benjamin Earle, Álvaro Soto
The Visual-and-Language Navigation (VLN) task requires understanding a textual instruction to navigate a natural indoor environment using only visual information. While this is a t…
How Relevant is Selective Memory Population in Lifelong Language Learning?
Vladimir Araujo, Helena Balabin, Julio Hurtado +2
Lifelong language learning seeks to have models continuously learn multiple tasks in a sequential order without suffering from catastrophic forgetting. State-of-the-art approaches…
Entropy-based Stability-Plasticity for Lifelong Learning
Vladimir Araujo, Julio Hurtado, Alvaro Soto +1
The ability to continuously learn remains elusive for deep learning models. Unlike humans, models cannot accumulate knowledge in their weights when learning new tasks, mainly due t…
Evaluation Benchmarks for Spanish Sentence Representations
Vladimir Araujo, Andrés Carvallo, Souvik Kundu +6
Due to the success of pre-trained language models, versions of languages other than English have been released in recent years. This fact implies the need for resources to evaluate…
Augmenting BERT-style Models with Predictive Coding to Improve Discourse-level Representations
Vladimir Araujo, Andrés Villa, Marcelo Mendoza +2
Current language models are usually trained using a self-supervised scheme, where the main focus is learning representations at the word or sentence level. However, there has been…
DeepSocNav: Social Navigation by Imitating Human Behaviors
Juan Pablo de Vicente, Alvaro Soto
Current datasets to train social behaviors are usually borrowed from surveillance applications that capture visual data from a bird's-eye perspective. This leaves aside precious re…