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 171–180 of 305 papers

TitleStatusHype
SparseDFF: Sparse-View Feature Distillation for One-Shot Dexterous Manipulation—0
Tackling Early Sparse Gradients in Softmax Activation Using Leaky Squared Euclidean Distance—0
Task Adaptive Feature Transformation for One-Shot Learning—0
Task Specific Adversarial Cost Function—0
Temporal credit assignment for one-shot learning utilizing a phase transition material—0
TET-GAN: Text Effects Transfer via Stylization and Destylization—0
That's Mine! Learning Ownership Relations and Norms for Robots—0
The Complex Negotiation Dialogue Game—0
The use of large language models to enhance cancer clinical trial educational materials—0
Toward Optimal Run Racing: Application to Deep Learning Calibration—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified