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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 1271–1280 of 3569 papers

Title	Date	Tasks	Status	Hype	Score
Few-Shot Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal Prediction	Oct 6, 2022	Conformal PredictionMeta-Learning	CodeCode Available	0	5
Few-shot calibration of low-cost air pollution (PM2.5) sensors using meta-learning	Aug 2, 2021	Meta-LearningTransfer Learning	CodeCode Available	0	5
MetAL: Active Semi-Supervised Learning on Graphs via Meta Learning	Jul 22, 2020	Active LearningBilevel Optimization	CodeCode Available	0	5
CLID-MU: Cross-Layer Information Divergence Based Meta Update Strategy for Learning with Noisy Labels	Jul 16, 2025	Learning with noisy labelsMeta-Learning	CodeCode Available	0	5
Active exploration in parameterized reinforcement learning	Oct 6, 2016	Meta-LearningQ-Learning	CodeCode Available	0	5
Meta-Learning a Cross-lingual Manifold for Semantic Parsing	Sep 26, 2022	Cross-Lingual TransferMachine Translation	CodeCode Available	0	5
Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives	Mar 19, 2020	Imitation LearningMeta-Learning	CodeCode Available	0	5
Incremental Few-Shot Learning with Attention Attractor Networks	Oct 16, 2018	Few-Shot LearningGeneral Classification	CodeCode Available	0	5
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models	May 20, 2019	Meta-LearningOne-Shot Learning	CodeCode Available	0	5
Few-Shot Adaptive Gaze Estimation	May 6, 2019	DecoderGaze Estimation	CodeCode Available	0	5

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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