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 2271–2280 of 3569 papers

TitleStatusHype
MMTL: The Meta Multi-Task Learning for Aspect Category Sentiment Analysis—0
How Neural Processes Improve Graph Link PredictionCode0
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation—0
Unsupervised Meta-Learning via Latent Space Energy-based Model of Symbol Vector Coupling—0
Unraveling Model-Agnostic Meta-Learning via The Adaptation Learning Rate—0
Transferring Hierarchical Structure with Dual Meta Imitation Learning—0
Information-Aware Time Series Meta-Contrastive Learning—0
Closed-form Sample Probing for Learning Generative Models in Zero-shot LearningCode0
Clustered Task-Aware Meta-Learning by Learning from Learning PathsCode0
Meta Learning Low Rank Covariance Factors for Energy Based Deterministic Uncertainty—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