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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 11–20 of 305 papers

Title	Date	Tasks	Status	Hype
BaseTransformers: Attention over base data-points for One Shot Learning	Oct 5, 2022	Few-Shot Image ClassificationOne-Shot Learning	CodeCode Available	1
FETA: Towards Specializing Foundation Models for Expert Task Applications	Sep 8, 2022	Domain GeneralizationFew-Shot Learning	CodeCode Available	1
Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking	Dec 28, 2021	Continual LearningFew-Shot Learning	CodeCode Available	1
Differentiable Wavetable Synthesis	Nov 19, 2021	Audio SynthesisOne-Shot Learning	CodeCode Available	1
EfficientWord-Net: An Open Source Hotword Detection Engine based on One-shot Learning	Oct 31, 2021	One-Shot Learning	CodeCode Available	1
Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation	Oct 5, 2021	Data AugmentationImage Segmentation	CodeCode Available	1
Detecting Hate Speech with GPT-3	Mar 23, 2021	Few-Shot LearningHate Speech Detection	CodeCode Available	1
One Line To Rule Them All: Generating LO-Shot Soft-Label Prototypes	Feb 15, 2021	AllOne-Shot Learning	CodeCode Available	1
Echo-SyncNet: Self-supervised Cardiac View Synchronization in Echocardiography	Feb 3, 2021	One-Shot LearningSelf-Supervised Learning	CodeCode Available	1
'Less Than One'-Shot Learning: Learning N Classes From M<N Samples	Sep 17, 2020	Few-Shot LearningOne-Shot Learning	CodeCode Available	1

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Benchmark Results

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