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Continual Learning On Asc 19 Tasks

Métriques

F1 - macro

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	F1 - macro	Paper Title	Repository
OWM	0.7931	Continual Learning of Context-dependent Processing in Neural Networks	-
CTR	0.8362	Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning	-
CAT	0.6864	Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks	-
B-CL	0.8140	Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks	-
KAN	0.7738	Continual Learning with Knowledge Transfer for Sentiment Classification	-
A-GEM	0.7844	Efficient Lifelong Learning with A-GEM	-
L2	0.5243	Overcoming catastrophic forgetting in neural networks	-
UCL	0.7599	Uncertainty-based Continual Learning with Adaptive Regularization	-
DER++	0.7508	Dark Experience for General Continual Learning: a Strong, Simple Baseline	-
EWC	0.7452	Overcoming catastrophic forgetting in neural networks	-
HAT	0.7816	Overcoming catastrophic forgetting with hard attention to the task	-
Naive Continual Learning (NCL)	0.7664	Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning	-
LAMOL	0.8059	LAMOL: LAnguage MOdeling for Lifelong Language Learning	-
Multi-task Learning (MTL; Upper Bound)	0.8811	Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning	-
Independent Learning (ONE)	0.7807	Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning	-

0 of 15 row(s) selected.

Continual Learning On Asc 19 Tasks | SOTA | HyperAI