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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 3341–3350 of 3569 papers

Title	Date	Tasks	Status	Hype
Bayesian Meta Sampling for Fast Uncertainty Adaptation	May 1, 2020	Meta-Learning	CodeCode Available	0
Meta Architecture Search	Dec 22, 2018	Bayesian InferenceFew-Shot Learning	CodeCode Available	0
Bayesian Meta-Learning Through Variational Gaussian Processes	Oct 21, 2021	Gaussian ProcessesMeta-Learning	CodeCode Available	0
Uncertainty-Aware Meta-Learning for Multimodal Task Distributions	Oct 4, 2022	Bayesian InferenceFew-Shot Learning	CodeCode Available	0
A meta-learning recommender system for hyperparameter tuning: predicting when tuning improves SVM classifiers	Jun 4, 2019	Decision MakingMeta-Learning	CodeCode Available	0
Deceptive Fairness Attacks on Graphs via Meta Learning	Oct 24, 2023	Adversarial RobustnessFairness	CodeCode Available	0
A Closer Look at the Training Strategy for Modern Meta-Learning	Dec 1, 2020	Few-Shot LearningMeta-Learning	CodeCode Available	0
Self-Supervised Generalisation with Meta Auxiliary Learning	Jan 25, 2019	Auxiliary LearningMeta-Learning	CodeCode Available	0
Meta-Learning of Structured Task Distributions in Humans and Machines	Oct 5, 2020	Meta-LearningMeta Reinforcement Learning	CodeCode Available	0
Task-Embedded Control Networks for Few-Shot Imitation Learning	Oct 8, 2018	Few-Shot Imitation LearningFew-Shot Learning	CodeCode Available	0

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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