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
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
JARVix at SemEval-2022 Task 2: It Takes One to Know One? Idiomaticity Detection using Zero and One-Shot LearningCode0
Meta-Reinforcement Learning with Self-Modifying Networks—0
One-Shot Learning on Attributed Sequences—0
Learning Spatially-Adaptive Squeeze-Excitation Networks for Image Synthesis and Image RecognitionCode0
One-Shot Learning from a Demonstration with Hierarchical Latent Language—0
Brain-inspired Cognition in Next Generation Racetrack Memories—0
Simultaneous Perturbation Method for Multi-Task Weight Optimization in One-Shot Meta-LearningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified