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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 1–10 of 305 papers

Title	Date	Tasks	Status	Hype	Score
Ludwig: a type-based declarative deep learning toolbox	Sep 17, 2019	DecoderDeep Learning	CodeCode Available	3	5
PsyDT: Using LLMs to Construct the Digital Twin of Psychological Counselor with Personalized Counseling Style for Psychological Counseling	Dec 18, 2024	One-Shot Learning	CodeCode Available	3	5
Prototypical Networks for Few-shot Learning	Mar 15, 2017	Category-Agnostic Pose EstimationFew-Shot Image Classification	CodeCode Available	2	5
Differentiable Wavetable Synthesis	Nov 19, 2021	Audio SynthesisOne-Shot Learning	CodeCode Available	1	5
CrossFi: A Cross Domain Wi-Fi Sensing Framework Based on Siamese Network	Aug 20, 2024	Action ClassificationAction Classification (1-shot)	CodeCode Available	1	5
Detecting Hate Speech with GPT-3	Mar 23, 2021	Few-Shot LearningHate Speech Detection	CodeCode Available	1	5
Adjoined Networks: A Training Paradigm with Applications to Network Compression	Jun 10, 2020	Knowledge DistillationNeural Architecture Search	CodeCode Available	1	5
An Overview of Deep Learning Architectures in Few-Shot Learning Domain	Aug 12, 2020	Deep LearningFew-Shot Learning	CodeCode Available	1	5
BaseTransformers: Attention over base data-points for One Shot Learning	Oct 5, 2022	Few-Shot Image ClassificationOne-Shot Learning	CodeCode Available	1	5
Anatomical Data Augmentation via Fluid-based Image Registration	Jul 5, 2020	Data AugmentationImage Augmentation	CodeCode Available	1	5

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Benchmark Results

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