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

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Showing 231–240 of 305 papers

TitleStatusHype
One-shot learning for the long term: consolidation with an artificial hippocampal algorithm—0
One-Shot Learning from a Demonstration with Hierarchical Latent Language—0
One-Shot Learning from a Demonstration with Hierarchical Latent Language—0
One-Shot-Learning Gesture Recognition using HOG-HOF Features—0
Few-Shot Knowledge Graph CompletionCode0
Multimodal One-Shot Learning of Speech and ImagesCode0
For Manifold Learning, Deep Neural Networks can be Locality Sensitive Hash FunctionsCode0
Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction ModelsCode0
Generalization in Machine Learning via Analytical Learning TheoryCode0
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