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ResearchFormerly WizWand

Online Class-Incremental Learning on Synth-10

100Final Mean AccuracyRutkowski
18.77639.86360.9582.037May 12, 2026
Updated 5mo ago

Evaluation results

MethodLinks
RutkowskiProtocol=No-reset CIL-adapted2026.05100
ARFTrees=10, Drift detection=Disabled2026.05100
SLDAType=Non-tree baseline2026.05100
SQDAType=Non-tree baseline2026.05100
NCMType=Non-tree baseline2026.05100
PECType=Exemplar-free baseline2026.05100
SLDAProtocol=Online CIL (single-pass)2026.05100
SQDAProtocol=Online CIL (single-pass)2026.05100
NCMProtocol=Online CIL (single-pass)2026.05100
PECProtocol=Online CIL (single-pass)2026.05100
RutkowskiProtocol=Online CIL, Reset Variant=No-reset, Data Retention=None, Number of passes=Single-pass2026.05100
ARF-NRProtocol=Online CIL, Reset Variant=No-reset, Data Retention=None, Number of passes=Single-pass, Ensemble Size=10 trees, Drift Detection=Disabled2026.05100
RLSType=Non-tree baseline2026.0599.9
RLSProtocol=Online CIL (single-pass)2026.0599.9
VFDTProtocol=No-reset CIL-adapted2026.0599.8
VFDTProtocol=Online CIL, Reset Variant=No-reset, Data Retention=None, Number of passes=Single-pass2026.0599.8
MIST-KProtocol=Online CIL, Variant=Single-pass2026.0599.6
MIST-KProtocol=Online CIL (single-pass)2026.0599.6
MIST-KProtocol=Online CIL, Reset Variant=No-reset, Data Retention=None, Number of passes=Single-pass2026.0599.6
MIST-GProtocol=Online CIL, Variant=Single-pass2026.0599.4
MIST-GProtocol=Online CIL (single-pass)2026.0599.4
MIST-GProtocol=Online CIL, Reset Variant=No-reset, Data Retention=None, Number of passes=Single-pass2026.0599.4
HATVariant=No-reset (NR)2026.0542.3
HAT (NR)Protocol=Online CIL, Reset Variant=No-reset, Data Retention=None, Number of passes=Single-pass2026.0542.3
EFDTVariant=No-reset (NR)2026.0521.9
EFDT (NR)Protocol=Online CIL, Reset Variant=No-reset, Data Retention=None, Number of passes=Single-pass2026.0521.9