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 241–250 of 305 papers

TitleStatusHype
One-Shot Learning of Multi-Step Tasks from Observation via Activity Localization in Auxiliary VideoCode0
One-shot Learning for Question-Answering in Gaokao History ChallengeCode0
Dynamic Spectrum Matching with One-shot Learning—0
Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning—0
One-Shot Action Localization by Learning Sequence Matching Network—0
Using Paraphrasing and Memory-Augmented Models to Combat Data Sparsity in Question Interpretation with a Virtual Patient Dialogue System—0
A Generative Model For Electron Paths—0
Memory Matching Networks for One-Shot Image Recognition—0
Deep Triplet Ranking Networks for One-Shot RecognitionCode0
One-Shot Learning using Mixture of Variational Autoencoders: a Generalization Learning approach—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified