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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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 251–260 of 305 papers

Title	Date	Tasks	Status	Hype
One-shot Detail Retouching with Patch Space Neural Transformation Blending	Oct 3, 2022	One-Shot LearningPhoto Retouching	CodeCode Available	0
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification	Nov 26, 2018	ClusteringDomain Adaptation	CodeCode Available	0
One-shot skill assessment in high-stakes domains with limited data via meta learning	Dec 16, 2022	Domain AdaptationMeta-Learning	CodeCode Available	0
Improving Siamese Networks for One Shot Learning using Kernel Based Activation functions	Oct 22, 2019	BIG-bench Machine LearningDeep Learning	CodeCode Available	0
Active Use of Latent Constituency Representation in both Humans and Large Language Models	May 28, 2024	One-Shot LearningSentence	CodeCode Available	0
SeqNet: Sequential Networks for One-Shot Traffic Sign Recognition With Transfer Learning	Sep 23, 2024	Image RetrievalMetric Learning	CodeCode Available	0
One-shot Learning with Absolute Generalization	May 28, 2021	One-Shot Learning	CodeCode Available	0
One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning	Feb 5, 2018	Meta-LearningOne-Shot Learning	CodeCode Available	0
It's DONE: Direct ONE-shot learning with quantile weight imprinting	Apr 28, 2022	One-Shot Learning	CodeCode Available	0
JARVix at SemEval-2022 Task 2: It Takes One to Know One? Idiomaticity Detection using Zero and One-Shot Learning	Feb 4, 2022	Binary ClassificationClassification	CodeCode Available	0

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Siamese Neural Network	Accuracy	97.5	—	Unverified