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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 2023Show all

5 papers · 1 filter

cs.LG2023★ 1 cited

A Comprehensive Empirical Evaluation on Online Continual Learning

Albin Soutif--Cormerais, Antonio Carta, Andrea Cossu +4

Online continual learning aims to get closer to a live learning experience by learning directly on a stream of data with temporally shifting distribution and by storing a minimum a…

cs.AI2023★ 1 cited

In-context Interference in Chat-based Large Language Models

Eric Nuertey Coleman, Julio Hurtado, Vincenzo Lomonaco

Large language models (LLMs) have had a huge impact on society due to their impressive capabilities and vast knowledge of the world. Various applications and tools have been create…

cs.LG2023★ 2 cited

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…

cs.LG2023★ 67 cited

Continual Learning for Predictive Maintenance: Overview and Challenges

Julio Hurtado, Dario Salvati, Rudy Semola +2

Deep learning techniques have become one of the main propellers for solving engineering problems effectively and efficiently. For instance, Predictive Maintenance methods have been…

cs.LG2023★ 3 cited

Class-Incremental Learning with Repetition

Hamed Hemati, Andrea Cossu, Antonio Carta +5

Real-world data streams naturally include the repetition of previous concepts. From a Continual Learning (CL) perspective, repetition is a property of the environment and, unlike r…