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 18761900 of 3569 papers

TitleStatusHype
On sensitivity of meta-learning to support dataCode1
Meta-learning with an Adaptive Task SchedulerCode1
Task-Aware Meta Learning-based Siamese Neural Network for Classifying Obfuscated Malware0
Meta-Learning for Multi-Label Few-Shot Classification0
Simultaneous Perturbation Method for Multi-Task Weight Optimization in One-Shot Meta-LearningCode0
A Closer Look at Few-Shot Video Classification: A New Baseline and BenchmarkCode1
MaskSplit: Self-supervised Meta-learning for Few-shot Semantic SegmentationCode1
MIGS: Meta Image Generation from Scene GraphsCode0
On Hard Episodes in Meta-Learning0
Bayesian Meta-Learning Through Variational Gaussian ProcessesCode0
Contextual Gradient Scaling for Few-Shot LearningCode0
On Label-Efficient Computer Vision: Building Fast and Effective Few-Shot Image Classifiers0
Forecasting Market Prices using DL with Data Augmentation and Meta-learning: ARIMA still wins!0
Bayesian Active Meta-Learning for Black-Box Optimization0
Learning Prototype-oriented Set Representations for Meta-Learning0
Learning to Learn a Cold-start Sequential Recommender0
Provable Hierarchy-Based Meta-Reinforcement Learning0
Exploiting Domain-Specific Features to Enhance Domain GeneralizationCode1
Boosting Lightweight Single Image Super-resolution via Joint-distillationCode0
Meta-Learning with Adjoint Methods0
HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model CompressionCode0
Multilingual Speech Recognition using Knowledge Transfer across Learning Processes0
Meta-learning via Language Model In-context TuningCode1
On the Convergence Theory for Hessian-Free Bilevel AlgorithmsCode1
Adapting to Dynamic LEO-B5G Systems: Meta-Critic Learning Based Efficient Resource Scheduling0
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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