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 81–90 of 3569 papers

TitleStatusHype
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review—0
REMEDI: Relative Feature Enhanced Meta-Learning with Distillation for Imbalanced Prediction—0
Deep Unrolled Meta-Learning for Multi-Coil and Multi-Modality MRI with Adaptive Optimization—0
Prompted Meta-Learning for Few-shot Knowledge Graph Completion—0
Phase Shift Information Compression in IRS-aided Wireless Systems: Challenges and Opportunities—0
Meta-Learning Driven Lightweight Phase Shift Compression for IRS-Assisted Wireless Systems—0
Machine Learning: a Lecture Note—0
Efficient Curvature-Aware Hypergradient Approximation for Bilevel Optimization—0
Heterosynaptic Circuits Are Universal Gradient Machines—0
MISE: Meta-knowledge Inheritance for Social Media-Based Stressor EstimationCode0
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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