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 121–130 of 305 papers

TitleStatusHype
Watershed of Artificial Intelligence: Human Intelligence, Machine Intelligence, and Biological Intelligence—0
Demystification of Few-shot and One-shot Learning—0
Unsupervised Hyperspectral Stimulated Raman Microscopy Image Enhancement: Denoising and Segmentation via One-Shot Deep LearningCode0
One-shot learning for solution operators of partial differential equations—0
Detecting Hate Speech with GPT-3Code1
HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing—0
For Manifold Learning, Deep Neural Networks can be Locality Sensitive Hash FunctionsCode0
Harnessing Geometric Constraints from Emotion Labels to improve Face Verification—0
One Line To Rule Them All: Generating LO-Shot Soft-Label PrototypesCode1
One-shot learning for the long term: consolidation with an artificial hippocampal algorithm—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified