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

Showing 401425 of 3569 papers

TitleStatusHype
Learning with AMIGo: Adversarially Motivated Intrinsic GoalsCode1
Automating Continual LearningCode1
Automating Outlier Detection via Meta-LearningCode1
Leveraging Table Content for Zero-shot Text-to-SQL with Meta-LearningCode1
LiST: Lite Prompted Self-training Makes Parameter-Efficient Few-shot LearnersCode1
Look-ahead Meta Learning for Continual LearningCode1
MAMO: Memory-Augmented Meta-Optimization for Cold-start RecommendationCode1
Many-Class Few-Shot Learning on Multi-Granularity Class HierarchyCode1
Massive Editing for Large Language Models via Meta LearningCode1
MC-BERT: Efficient Language Pre-Training via a Meta ControllerCode1
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel LearningCode1
A Meta-Learning Approach for Graph Representation Learning in Multi-Task SettingsCode1
Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-LearningCode1
CAMeL: Cross-modality Adaptive Meta-Learning for Text-based Person RetrievalCode1
A Broader Study of Cross-Domain Few-Shot LearningCode1
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image ClassificationCode1
A Meta-Learning Approach for Training Explainable Graph Neural NetworksCode1
MetaAudio: A Few-Shot Audio Classification BenchmarkCode1
Copolymer Informatics with Multi-Task Deep Neural NetworksCode1
Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration ErrorCode1
AwesomeMeta+: A Mixed-Prototyping Meta-Learning System Supporting AI Application Design AnywhereCode1
MetaCorrection: Domain-aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic SegmentationCode1
Covariate Distribution Aware Meta-learningCode1
Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural NetworksCode1
Cross-Market Product RecommendationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MZ+ReconMeta-train success rate97.8Unverified
2MZMeta-train success rate97.6Unverified
3MAMLMeta-test success rate36Unverified
4RL^2Meta-test success rate10Unverified
5DnCMeta-test success rate5.4Unverified
6PEARLMeta-test success rate0Unverified
#ModelMetricClaimedVerifiedStatus
1SoftModuleAverage Success Rate60Unverified
2Multi-task multi-head SACAverage Success Rate35.85Unverified
3DisCorAverage Success Rate26Unverified
4NDPAverage Success Rate11Unverified
#ModelMetricClaimedVerifiedStatus
1MZ+ReconMeta-test success rate (zero-shot)18.5Unverified
2MZMeta-test success rate (zero-shot)17.7Unverified
#ModelMetricClaimedVerifiedStatus
1Metadrop% Test Accuracy95.75Unverified