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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 3371–3380 of 3569 papers

Title	Date	Tasks	Status	Hype
Stacking and stability	Jan 26, 2019	Meta-Learning	—Unverified	0
Self-Supervised Generalisation with Meta Auxiliary Learning	Jan 25, 2019	Auxiliary LearningMeta-Learning	CodeCode Available	0
Sequential Skip Prediction with Few-shot in Streamed Music Contents	Jan 24, 2019	Few-Shot LearningMeta-Learning	CodeCode Available	0
Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction	Jan 24, 2019	Meta-LearningPrediction	CodeCode Available	0
Meta-Learning for Contextual Bandit Exploration	Jan 23, 2019	Imitation LearningMeta-Learning	—Unverified	0
Meta-Learning Mean Functions for Gaussian Processes	Jan 23, 2019	Gaussian ProcessesMeta-Learning	—Unverified	0
FIGR: Few-shot Image Generation with Reptile	Jan 8, 2019	Few-Shot LearningImage Generation	CodeCode Available	0
Learning to Design RNA	Dec 31, 2018	CPUDeep Reinforcement Learning	CodeCode Available	0
Meta Reinforcement Learning with Distribution of Exploration Parameters Learned by Evolution Strategies	Dec 29, 2018	Meta-LearningMeta Reinforcement Learning	—Unverified	0
An Investigation of Few-Shot Learning in Spoken Term Classification	Dec 26, 2018	Few-Shot LearningGeneral Classification	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