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

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Showing 231–240 of 305 papers

TitleStatusHype
Deep Reinforcement One-Shot Learning for Artificially Intelligent Classification SystemsCode0
An Exploration of Three Lightly-supervised Representation Learning Approaches for Named Entity Classification—0
KIT Lecture Translator: Multilingual Speech Translation with One-Shot Learning—0
Object Relation Detection Based on One-shot Learning—0
Metalearning with Hebbian Fast Weights—0
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
One-Shot Action Localization by Learning Sequence Matching Network—0
Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified