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 101125 of 3569 papers

TitleStatusHype
Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image Super-Resolution in Real WorldCode1
Contrastive Meta-Learning for Partially Observable Few-Shot LearningCode1
Automating Outlier Detection via Meta-LearningCode1
Covariate Distribution Aware Meta-learningCode1
Cross-domain Few-shot Object Detection with Multi-modal Textual EnrichmentCode1
Cross-Domain Few-Shot Semantic SegmentationCode1
Adaptive-Control-Oriented Meta-Learning for Nonlinear SystemsCode1
Curriculum-Meta Learning for Order-Robust Continual Relation ExtractionCode1
A Channel Coding Benchmark for Meta-LearningCode1
Data Augmentation for Meta-LearningCode1
Automating Continual LearningCode1
A General Descent Aggregation Framework for Gradient-based Bi-level OptimizationCode1
AwesomeMeta+: A Mixed-Prototyping Meta-Learning System Supporting AI Application Design AnywhereCode1
Delving Deep Into Many-to-Many Attention for Few-Shot Video Object SegmentationCode1
Adaptive Risk Minimization: Learning to Adapt to Domain ShiftCode1
A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning for Any Atlas and DisorderCode1
Diffusion-Based Neural Network Weights GenerationCode1
DIMES: A Differentiable Meta Solver for Combinatorial Optimization ProblemsCode1
Auto-Lambda: Disentangling Dynamic Task RelationshipsCode1
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural NetworksCode1
Discovering modular solutions that generalize compositionallyCode1
Adaptive Subspaces for Few-Shot LearningCode1
A contrastive rule for meta-learningCode1
Adaptive Transfer Learning on Graph Neural NetworksCode1
Automated Machine Learning Techniques for Data StreamsCode1
Show:102550
← PrevPage 5 of 143Next →

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