What is recorded here?
Mapped labeled support examples and a query through learned representations and attention to predict unseen-class labels, training on episodes that mimic the one-shot test setting.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Metric learning, attention and external memories are inherited. No-finetuning refers to adaptation by support conditioning, not a network trained without data or universal one-shot learning.
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People and systems
Oriol Vinyals; Charles Blundell; Timothy Lillicrap; Koray Kavukcuoglu; Daan Wierstra
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
Vinyals et al.: support-conditioned matching networks
Mapped labeled support examples and a query through learned representations and attention to predict unseen-class labels, training on episodes that mimic the one-shot test setting.
Scientific scope
Metric learning, attention and external memories are inherited. No-finetuning refers to adaptation by support conditioning, not a network trained without data or universal one-shot learning.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Oriol Vinyals; Charles Blundell; Timothy Lillicrap; Koray Kavukcuoglu; Daan Wierstra
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.