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SOTA
持续学习
Continual Learning On Asc 19 Tasks
Continual Learning On Asc 19 Tasks
评估指标
F1 - macro
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
F1 - macro
Paper Title
Repository
Multi-task Learning (MTL; Upper Bound)
0.8811
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning
CTR
0.8362
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning
B-CL
0.8140
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks
LAMOL
0.8059
LAMOL: LAnguage MOdeling for Lifelong Language Learning
OWM
0.7931
Continual Learning of Context-dependent Processing in Neural Networks
A-GEM
0.7844
Efficient Lifelong Learning with A-GEM
HAT
0.7816
Overcoming catastrophic forgetting with hard attention to the task
Independent Learning (ONE)
0.7807
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning
KAN
0.7738
Continual Learning with Knowledge Transfer for Sentiment Classification
Naive Continual Learning (NCL)
0.7664
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning
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
CAT
0.6864
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks
L2
0.5243
Overcoming catastrophic forgetting in neural networks
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