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20212025
most citedContinual Learning for Predictive Maintenance: Overview and Challenges

67 citations · 90 across the 16 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CV2022

PIVOT: Prompting for Video Continual Learning

Andrés Villa, Juan León Alcázar, Motasem Alfarra +5

Modern machine learning pipelines are limited due to data availability, storage quotas, privacy regulations, and expensive annotation processes. These constraints make it difficult…

cs.CL2022★ 1 cited

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…

cs.LG2022

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…

cs.LG2022

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…

cs.LG2022

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…