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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 1261–1270 of 3569 papers

Title	Date	Tasks	Status	Hype	Score
It HAS to be Subjective: Human Annotator Simulation via Zero-shot Density Estimation	Sep 30, 2023	Density EstimationMeta-Learning	CodeCode Available	0	5
Few-Shot Classification of Skin Lesions from Dermoscopic Images by Meta-Learning Representative Embeddings	Oct 30, 2022	Few-Shot LearningMeta-Learning	CodeCode Available	0	5
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition	Nov 9, 2021	Continual LearningKnowledge Distillation	CodeCode Available	0	5
Clustered Task-Aware Meta-Learning by Learning from Learning Paths	Sep 29, 2021	ClusteringFew-Shot Image Classification	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 classification in Named Entity Recognition Task	Dec 14, 2018	ClassificationGeneral Classification	CodeCode Available	0	5
Fast Few-Shot Classification by Few-Iteration Meta-Learning	Oct 1, 2020	ClassificationGeneral Classification	CodeCode Available	0	5
Closed-form Sample Probing for Learning Generative Models in Zero-shot Learning	Sep 29, 2021	FormGeneralized Zero-Shot Learning	CodeCode Available	0	5
Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind	Nov 9, 2022	Meta-LearningMetric Learning	CodeCode Available	0	5
In-Context Learning for MIMO Equalization Using Transformer-Based Sequence Models	Nov 10, 2023	In-Context LearningMeta-Learning	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