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 31013125 of 3569 papers

TitleStatusHype
Meta-Learning to Detect Rare Objects0
Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video0
Meta-learning algorithms for Few-Shot Computer VisionCode0
MGHRL: Meta Goal-generation for Hierarchical Reinforcement Learning0
Chameleon: Learning Model Initializations Across Tasks With Different SchemasCode0
Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation0
Learning Fast Adaptation with Meta Strategy OptimizationCode0
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning0
Improving Federated Learning Personalization via Model Agnostic Meta LearningCode0
Overcoming Data Limitation in Medical Visual Question AnsweringCode1
Fast and Effective Adaptation of Facial Action Unit Detection Deep Model0
Localized Meta-Learning: A PAC-Bayes Analysis for Meta-Leanring Beyond Global Prior0
Learning Effective Exploration Strategies For Contextual Bandits0
Meta-Learning by Hallucinating Useful Examples0
Localized Generations with Deep Neural Networks for Multi-Scale Structured Datasets0
Discrete InfoMax Codes for Meta-Learning0
Semi-Supervised Few-Shot Learning with a Controlled Degree of Task-Adaptive Conditioning0
Meta-RCNN: Meta Learning for Few-Shot Object Detection0
Meta-Learning for Variational Inference0
NORML: Nodal Optimization for Recurrent Meta-Learning0
Efficient meta reinforcement learning via meta goal generation0
Meta Learning via Learned Loss0
Few-Shot Regression via Learning Sparsifying Basis Functions0
A Data-Efficient Mutual Information Neural Estimator for Statistical Dependency Testing0
Meta-Learning with Network Pruning for Overfitting Reduction0
Show:102550
← PrevPage 125 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