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 581–590 of 3569 papers

TitleStatusHype
Concrete Subspace Learning based Interference Elimination for Multi-task Model FusionCode1
A picture of the space of typical learnable tasksCode1
Graph Representation Learning for Multi-Task Settings: a Meta-Learning ApproachCode1
Graph Sampling-based Meta-Learning for Molecular Property PredictionCode1
Group Preference Optimization: Few-Shot Alignment of Large Language ModelsCode1
GS-Phong: Meta-Learned 3D Gaussians for Relightable Novel View SynthesisCode1
Adv-Makeup: A New Imperceptible and Transferable Attack on Face RecognitionCode1
Harnessing Meta-Learning for Improving Full-Frame Video StabilizationCode1
Hierarchical Attention Network for Few-Shot Object Detection via Meta-Contrastive LearningCode1
Data Augmentation for Meta-LearningCode1
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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