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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 21–30 of 305 papers

Title	Date	Tasks	Status	Hype
EfficientWord-Net: An Open Source Hotword Detection Engine based on One-shot Learning	Oct 31, 2021	One-Shot Learning	CodeCode Available	1
FETA: Towards Specializing Foundation Models for Expert Task Applications	Sep 8, 2022	Domain GeneralizationFew-Shot Learning	CodeCode Available	1
Detecting Hate Speech with GPT-3	Mar 23, 2021	Few-Shot LearningHate Speech Detection	CodeCode Available	1
An Overview of Deep Learning Architectures in Few-Shot Learning Domain	Aug 12, 2020	Deep LearningFew-Shot Learning	CodeCode Available	1
BaseTransformers: Attention over base data-points for One Shot Learning	Oct 5, 2022	Few-Shot Image ClassificationOne-Shot Learning	CodeCode Available	1
Matching Networks for One Shot Learning	Jun 13, 2016	Few-Shot Image ClassificationFew-Shot Learning	CodeCode Available	1
One-Shot Instance Segmentation	Nov 28, 2018	Few-Shot LearningFew-Shot Object Detection	CodeCode Available	1
One-Shot Learning as Instruction Data Prospector for Large Language Models	Dec 16, 2023	One-Shot Learning	CodeCode Available	1
One-Shot Learning for Pose-Guided Person Image Synthesis in the Wild	Sep 15, 2024	GPUImage Generation	CodeCode Available	1
Dynamic Few-Shot Visual Learning without Forgetting	Apr 25, 2018	Few-Shot Image ClassificationFew-Shot Learning	CodeCode Available	1

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Benchmark Results

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