2 citations · 4 across the 11 of their papers we have counts for
6 papers · 1 filter
Studying Generalization on Memory-Based Methods in Continual Learning
Felipe del Rio, Julio Hurtado, Cristian Buc +2
One of the objectives of Continual Learning is to learn new concepts continually over a stream of experiences and at the same time avoid catastrophic forgetting. To mitigate comple…
A Study on the Predictability of Sample Learning Consistency
Alain Raymond-Saez, Julio Hurtado, Alvaro Soto
Curriculum Learning is a powerful training method that allows for faster and better training in some settings. This method, however, requires having a notion of which examples are…
Memory Population in Continual Learning via Outlier Elimination
Julio Hurtado, Alain Raymond-Saez, Vladimir Araujo +3
Catastrophic forgetting, the phenomenon of forgetting previously learned tasks when learning a new one, is a major hurdle in developing continual learning algorithms. A popular met…
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…
Optimizing Reusable Knowledge for Continual Learning via Metalearning
Julio Hurtado, Alain Raymond-Saez, Alvaro Soto
When learning tasks over time, artificial neural networks suffer from a problem known as Catastrophic Forgetting (CF). This happens when the weights of a network are overwritten du…
Translating Natural Language Instructions for Behavioral Robot Navigation with a Multi-Head Attention Mechanism
Patricio Cerda-Mardini, Vladimir Araujo, Alvaro Soto
We propose a multi-head attention mechanism as a blending layer in a neural network model that translates natural language to a high level behavioral language for indoor robot navi…