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Meta-Learning

Meta-learning is a methodology considered with "learning to learn" machine learning algorithms.

( Image credit: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 291–300 of 3569 papers

Title	Date	Tasks	Status	Hype
Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking	Dec 28, 2021	Continual LearningFew-Shot Learning	CodeCode Available	1
N-Omniglot, a large-scale neuromorphic dataset for spatio-temporal sparse few-shot learning	Dec 25, 2021	Few-Shot LearningMeta-Learning	CodeCode Available	1
Graph Few-shot Class-incremental Learning	Dec 23, 2021	class-incremental learningClass Incremental Learning	CodeCode Available	1
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning	Dec 18, 2021	Graph LearningMeta-Learning	CodeCode Available	1
Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks	Dec 17, 2021	Few-Shot Object DetectionMeta-Learning	CodeCode Available	1
A Structured Dictionary Perspective on Implicit Neural Representations	Dec 3, 2021	Dictionary LearningInductive Bias	CodeCode Available	1
AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration	Dec 3, 2021	Few-Shot Object DetectionMeta-Learning	CodeCode Available	1
Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media	Dec 1, 2021	Knowledge DistillationMarketing	CodeCode Available	1
Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning	Dec 1, 2021	Meta-LearningNeural Architecture Search	CodeCode Available	1
Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning	Nov 30, 2021	3D Human Pose EstimationCamera Calibration	CodeCode Available	1

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All datasets ML10 MT50 ML45 OMNIGLOT - 1-Shot, 20-way

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	MZ+Recon	Meta-train success rate	97.8	—	Unverified
2	MZ	Meta-train success rate	97.6	—	Unverified
3	MAML	Meta-test success rate	36	—	Unverified
4	RL^2	Meta-test success rate	10	—	Unverified
5	DnC	Meta-test success rate	5.4	—	Unverified
6	PEARL	Meta-test success rate	0	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SoftModule	Average Success Rate	60	—	Unverified
2	Multi-task multi-head SAC	Average Success Rate	35.85	—	Unverified
3	DisCor	Average Success Rate	26	—	Unverified
4	NDP	Average Success Rate	11	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MZ+Recon	Meta-test success rate (zero-shot)	18.5	—	Unverified
2	MZ	Meta-test success rate (zero-shot)	17.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Metadrop	% Test Accuracy	95.75	—	Unverified