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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 601–610 of 3569 papers

Title	Date	Tasks	Status	Hype
Automated Relational Meta-learning	Jan 3, 2020	Few-Shot Image Classificationimage-classification	CodeCode Available	1
A Broader Study of Cross-Domain Few-Shot Learning	Dec 16, 2019	Cross-Domain Few-Shotcross-domain few-shot learning	CodeCode Available	1
Meta-Learning of Neural Architectures for Few-Shot Learning	Nov 25, 2019	Few-Shot LearningMeta-Learning	CodeCode Available	1
SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning	Nov 12, 2019	Few-Shot Image ClassificationFew-Shot Learning	CodeCode Available	1
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation	Oct 30, 2019	Few-Shot Image ClassificationFew-Shot Learning	CodeCode Available	1
Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels	Oct 22, 2019	DecoderMeta-Learning	CodeCode Available	1
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning	Oct 18, 2019	Meta-LearningMuJoCo	CodeCode Available	1
Solving Rubik's Cube with a Robot Hand	Oct 16, 2019	Meta-LearningRubik's Cube	CodeCode Available	1
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels	Oct 11, 2019	Bayesian InferenceDomain Adaptation	CodeCode Available	1
Meta-Transfer Learning through Hard Tasks	Oct 7, 2019	Few-Shot LearningMeta-Learning	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