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A practical guide to streaming continual learning

delete2026-02-03
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PRE
AI
A
Andrea Cossu
F
Federico Giannini
G
Giacomo Ziffer
A
Alessio Bernardo
A
Alexander Gepperth
E
Emanuele Della Valle
B
Barbara Hammer
D
Davide Bacciu
DOI:10.1016/j.neucom.2026.132951delete
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Abstract

Abstract

En 中文
• We provide a short background on Streaming Machine Learning (SML) and Continual Learning (CL), highlighting their similarities and differences. • We define the Streaming Continual Learning (SCL) scenario, which offers the opportunity to merge ideas from CL and SML into a unified paradigm. • We conduct an empirical evaluation showcasing the need for Streaming Continual Learning (SCL).

Journal

Neurocomputing cover
Neurocomputing
IF:
6.5
Papers:
2.5W
Citations:
6.5W

Organization

B
Bielefeld University
Scholars:
462
Papers: 228
Citations: 6.7K
D
deib, politecnico di milano
Scholars:
6
Papers: 4
Citations: 0
F
Fulda University of Applied Sciences
Scholars:
9
Papers: 8
Citations: 227
M
motus ml
Scholars:
1
Papers: 1
Citations: 0
U
University of Pisa
Scholars:
3.1W
Papers: 2.4W
Citations: 2.4W
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