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 181–190 of 305 papers

TitleStatusHype
Compositional Embeddings for Multi-Label One-Shot Learning—0
Uncertainty-based Modulation for Lifelong Learning—0
A One-Shot Learning Framework for Assessment of Fibrillar Collagen from Second Harmonic Generation Images of an Infarcted Myocardium—0
User-in-the-loop Adaptive Intent Detection for Instructable Digital AssistantCode0
Learning similarity measures from data—0
RC-DARTS: Resource Constrained Differentiable Architecture Search—0
Few-Shot Knowledge Graph CompletionCode0
Verbal Programming of Robot Behavior—0
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual RecognitionCode0
One-shot learning and behavioral eligibility traces in sequential decision making—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified