A generic combination of BERT fine-tuning and meta-learning is reported to improve few-shot text classification accuracy on 20 Newsgroups, but the method and experiments are not reproducible from the text.
Advancing Air Mobility: Few -Shot Learning in Airspace Research and Development
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A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning
A generic combination of BERT fine-tuning and meta-learning is reported to improve few-shot text classification accuracy on 20 Newsgroups, but the method and experiments are not reproducible from the text.