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 91–100 of 305 papers

TitleStatusHype
Memory-enriched computation and learning in spiking neural networks through Hebbian plasticityCode0
Sleep Posture One-Shot Learning Framework Using Kinematic Data Augmentation: In-Silico and In-Vivo Case Studies—0
It's DONE: Direct ONE-shot learning with quantile weight imprintingCode0
Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition—0
Experimentally realized memristive memory augmented neural network—0
One-Shot Learning from a Demonstration with Hierarchical Latent Language—0
InsertionNet 2.0: Minimal Contact Multi-Step Insertion Using Multimodal Multiview Sensory Input—0
Can Humans Do Less-Than-One-Shot Learning?—0
Meta-Reinforcement Learning with Self-Modifying Networks—0
JARVix at SemEval-2022 Task 2: It Takes One to Know One? Idiomaticity Detection using Zero and One-Shot LearningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified