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March 2023
T2L: Trans-transfer Learning for few-shot fine-grained visual categorization with extended adaptation
- Nan Sun,
- Po Yang
Knowledge-Based Systems (KNBS), Volume 264, Issue Chttps://doi.org/10.1016/j.knosys.2023.110329
Abstract
Fine-grained visual categorization requires the ability to distinguish categories with subtle differences, which is also a problem constantly burdened by collecting and labeling massive volume of samples. While transfer learning is ...
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research-article
March 2023
TaxonPrompt: Taxonomy-aware curriculum prompt learning for few-shot event classification
Knowledge-Based Systems (KNBS), Volume 264, Issue Chttps://doi.org/10.1016/j.knosys.2023.110290
Abstract
Event classification (EC) aims to assign the event labels to unlabeled sentences and tends to struggle in real-world applications when only a few annotated samples are available. Previous studies have mainly focused on using meta-learning to ...
Highlights

We designed a taxonomy-aware event classification framework for overcoming the classification bottleneck brought by insufficient data volume.
We apply a prompt-based method for few-shot event classification, which does not require ...
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