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 141–150 of 305 papers

TitleStatusHype
Low Data Drug Discovery with One-shot Learning—0
Metalearning with Hebbian Fast Weights—0
Distilled One-Shot Federated Learning—0
DeepWriteSYN: On-Line Handwriting Synthesis via Deep Short-Term Representations—0
Mathematics of Digital Twins and Transfer Learning for PDE Models—0
MAVOT: Memory-Augmented Video Object Tracking—0
Learning similarity measures from data—0
Max-Margin Invariant Features from Transformed Unlabelled Data—0
Measuring Immediate Adaptation Performance for Neural Machine Translation—0
Adaptive Local-Component-aware Graph Convolutional Network for One-shot Skeleton-based Action Recognition—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified