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07/09/2023
Class-Incremental Mixture of Gaussians for Deep Continual Learning
Continual learning models for stationary data focus on learning and reta...
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12/21/2021
Mining Drifting Data Streams on a Budget: Combining Active Learning with Self-Labeling
Mining data streams poses a number of challenges, including the continuo...
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04/24/2021
Class-Incremental Experience Replay for Continual Learning under Concept Drift
Modern machine learning systems need to be able to cope with constantly ...
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04/20/2021
Concept Drift Detection from Multi-Class Imbalanced Data Streams
Continual learning from data streams is among the most important topics ...
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10/14/2020
Adaptive Deep Forest for Online Learning from Drifting Data Streams
Learning from data streams is among the most vital fields of contemporar...
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09/20/2020
Adversarial Concept Drift Detection under Poisoning Attacks for Robust Data Stream Mining
Continuous learning from streaming data is among the most challenging to...
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09/20/2020
