SOTAVerified

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 AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2521–2530 of 3569 papers

TitleStatusHype
One to Many: Adaptive Instrument Segmentation via Meta Learning and Dynamic Online Adaptation in Robotic Surgical Video—0
Meta-Adversarial Inverse Reinforcement Learning for Decision-making Tasks—0
Using Meta-learning to Recommend Process Discovery MethodsCode0
Hyperspectral Image Super-Resolution in Arbitrary Input-Output Band Settings—0
Meta-learning of Pooling Layers for Character RecognitionCode0
Set-to-Sequence Methods in Machine Learning: a Review—0
Augmenting Supervised Learning by Meta-learning Unsupervised Local Rules—0
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks—0
Repurposing Pretrained Models for Robust Out-of-domain Few-Shot LearningCode0
Accelerating Online Reinforcement Learning via Model-Based Meta-Learning—0
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All datasetsML10MT50ML45OMNIGLOT - 1-Shot, 20-way

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MZ+ReconMeta-train success rate97.8—Unverified
2MZMeta-train success rate97.6—Unverified
3MAMLMeta-test success rate36—Unverified
4RL^2Meta-test success rate10—Unverified
5DnCMeta-test success rate5.4—Unverified
6PEARLMeta-test success rate0—Unverified
#ModelMetricClaimedVerifiedStatus
1SoftModuleAverage Success Rate60—Unverified
2Multi-task multi-head SACAverage Success Rate35.85—Unverified
3DisCorAverage Success Rate26—Unverified
4NDPAverage Success Rate11—Unverified
#ModelMetricClaimedVerifiedStatus
1MZ+ReconMeta-test success rate (zero-shot)18.5—Unverified
2MZMeta-test success rate (zero-shot)17.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Metadrop% Test Accuracy95.75—Unverified