SOTAVerified

One-Shot Learning

One-shot learning is the task of learning information about object categories from a single training example.

( Image credit: Siamese Neural Networks for One-shot Image Recognition )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 291–300 of 305 papers

TitleStatusHype
Towards Generalizable Sentence Embeddings—0
Learning feed-forward one-shot learners—0
Covariance of Motion and Appearance Featuresfor Spatio Temporal Recognition Tasks—0
One-Shot Learning of Scene Locations via Feature Trajectory Transfer—0
One-shot Learning with Memory-Augmented Neural NetworksCode0
Modeling Time Series Similarity with Siamese Recurrent Networks—0
One Shot Learning via Compositions of Meaningful Patches—0
One-Shot Learning of Manipulation Skills with Online Dynamics Adaptation and Neural Network Priors—0
A Model of Zero-Shot Learning of Spoken Language Understanding—0
Siamese neural networks for one-shot image recognitionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified