Unsupervised Few-Shot Feature Learning via Self-Supervised Training
Learning from limited exemplars (few-shot learning) is a fundamental, unsolved problem that has been laboriously explored in the machine learning community. However, current few-shot learners are mostly supervised and rely heavily on a large amount of labeled examples. Unsupervised learning is a mor...
I tiakina i:
| Ngā kaituhi matua: | , , , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Frontiers Media S.A.
2020-10-01
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| Rangatū: | Frontiers in Computational Neuroscience |
| Ngā marau: | |
| Urunga tuihono: | https://www.frontiersin.org/article/10.3389/fncom.2020.00083/full |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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