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 301325 of 3569 papers

TitleStatusHype
Evolving Decomposed Plasticity Rules for Information-Bottlenecked Meta-LearningCode1
ARCADe: A Rapid Continual Anomaly DetectorCode1
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-LearningCode1
Adapting to Distribution Shift by Visual Domain Prompt GenerationCode1
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective AdaptationCode1
EEG-Reptile: An Automatized Reptile-Based Meta-Learning Library for BCIsCode1
Are Deep Neural Networks SMARTer than Second Graders?Code1
Efficient Domain Generalization via Common-Specific Low-Rank DecompositionCode1
Empirical Bayes Transductive Meta-Learning with Synthetic GradientsCode1
AReLU: Attention-based Rectified Linear UnitCode1
EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter OptimizationCode1
Evolving Reinforcement Learning AlgorithmsCode1
Exploiting Domain-Specific Features to Enhance Domain GeneralizationCode1
Exploiting Shared Representations for Personalized Federated LearningCode1
A General Descent Aggregation Framework for Gradient-based Bi-level OptimizationCode1
ArtFID: Quantitative Evaluation of Neural Style TransferCode1
Exploring Task Difficulty for Few-Shot Relation ExtractionCode1
Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-LearningCode1
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data SetsCode1
Attentive Weights Generation for Few Shot Learning via Information MaximizationCode1
FewSAR: A Few-shot SAR Image Classification BenchmarkCode1
Few-shot Action Recognition with Prototype-centered Attentive LearningCode1
Few Shot Dialogue State Tracking using Meta-learningCode1
Few-Shot Graph Learning for Molecular Property PredictionCode1
A Broader Study of Cross-Domain Few-Shot LearningCode1
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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