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 15511575 of 3569 papers

TitleStatusHype
Set-based Meta-Interpolation for Few-Task Meta-Learning0
Persian Natural Language Inference: A Meta-learning approachCode0
Cross-subject Action Unit Detection with Meta Learning and Transformer-based Relation Modeling0
Meta-Learning Sparse Compression Networks0
Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks0
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities0
Neural-Fly Enables Rapid Learning for Agile Flight in Strong WindsCode2
Meta Balanced Network for Fair Face Recognition0
Warm-starting DARTS using meta-learning0
Multi-Environment Meta-Learning in Stochastic Linear Bandits0
Feature Extractor Stacking for Cross-domain Few-shot LearningCode0
Improved Meta Learning for Low Resource Speech Recognition0
Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated SettingCode1
Unsupervised Meta Learning With Multiview Constraints for Hyperspectral Image Small Sample set ClassificationCode1
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property PredictionCode1
Side-aware Meta-Learning for Cross-Dataset Listener Diagnosis with Subjective Tinnitus0
Meta Learning for Natural Language Processing: A Survey0
On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification0
Leveraging Task Transferability to Meta-learning for Clinical Section Classification with Limited Data0
Learn to Adapt for Generalized Zero-Shot Text ClassificationCode1
Meta-X_NLG: A Meta-Learning Approach Based on Language Clustering for Zero-Shot Cross-Lingual Transfer and Generation0
CML: A Contrastive Meta Learning Method to Estimate Human Label Confidence Scores and Reduce Data Collection Cost0
Self-Programming Artificial Intelligence Using Code-Generating Language Models0
Fast and Scalable Human Pose Estimation using mmWave Point Cloud0
Meta-Learning Based Early Fault Detection for Rolling Bearings via Few-Shot Anomaly Detection0
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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