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 27012725 of 3569 papers

TitleStatusHype
Meta-Learning with Context-Agnostic InitialisationsCode0
La-MAML: Look-ahead Meta Learning for Continual LearningCode1
Universality of Gradient Descent Neural Network Training0
Improving Generalization in Meta-learning via Task AugmentationCode1
Few-Shot Bearing Fault Diagnosis Based on Model-Agnostic Meta-Learning0
Few-Shot Object Detection and Viewpoint Estimation for Objects in the WildCode1
MetAL: Active Semi-Supervised Learning on Graphs via Meta LearningCode0
Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning ApproachCode0
Navigating the Trade-Off between Multi-Task Learning and Learning to Multitask in Deep Neural Networks0
Fuzzy Graph Neural Network for Few-Shot LearningCode1
Meta-learning for Few-shot Natural Language Processing: A Survey0
CATCH: Context-based Meta Reinforcement Learning for Transferrable Architecture Search0
Contextualizing Enhances Gradient Based Meta LearningCode0
A Review of Meta-level Learning in the Context of Multi-component, Multi-level Evolving Prediction Systems0
Probabilistic Active Meta-LearningCode1
Adaptive Task Sampling for Meta-Learning0
Discovering Reinforcement Learning AlgorithmsCode1
Collision Avoidance Robotics Via Meta-Learning (CARML)Code0
Layer-Wise Adaptive Updating for Few-Shot Image Classification0
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous GraphsCode1
Learning to Learn with Variational Information Bottleneck for Domain Generalization0
How to trust unlabeled data? Instance Credibility Inference for Few-Shot LearningCode1
Few-shot Scene-adaptive Anomaly DetectionCode1
Gradient-based Hyperparameter Optimization Over Long HorizonsCode1
Concept Learners for 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