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 476500 of 3569 papers

TitleStatusHype
MetaPhys: Few-Shot Adaptation for Non-Contact Physiological MeasurementCode1
Exploration in Approximate Hyper-State Space for Meta Reinforcement LearningCode1
BOML: A Modularized Bilevel Optimization Library in Python for Meta LearningCode1
Interventional Few-Shot LearningCode1
Automating Outlier Detection via Meta-LearningCode1
Self-Supervised Meta-Learning for Few-Shot Natural Language Classification TasksCode1
Few-Shot Unsupervised Continual Learning through Meta-ExamplesCode1
Few-shot Learning with LSSVM Base Learner and Transductive ModulesCode1
Meta Learning for Few-Shot One-class ClassificationCode1
Transfer Graph Neural Networks for Pandemic ForecastingCode1
Prototype Completion with Primitive Knowledge for Few-Shot LearningCode1
Meta-Learning with Sparse Experience Replay for Lifelong Language LearningCode1
Grounded Language Learning Fast and SlowCode1
Simulating Unknown Target Models for Query-Efficient Black-box AttacksCode1
Transductive Information Maximization For Few-Shot LearningCode1
BOIL: Towards Representation Change for Few-shot LearningCode1
Domain Generalizer: A Few-shot Meta Learning Framework for Domain Generalization in Medical ImagingCode1
Offline Meta-Reinforcement Learning with Advantage WeightingCode1
Learning to Reason in Round-based Games: Multi-task Sequence Generation for Purchasing Decision Making in First-person ShootersCode1
ARCADe: A Rapid Continual Anomaly DetectorCode1
Offline Meta Learning of ExplorationCode1
Few-shot Classification via Adaptive AttentionCode1
One Model, Many Languages: Meta-learning for Multilingual Text-to-SpeechCode1
Learning to Purify Noisy Labels via Meta Soft Label CorrectorCode1
On Modulating the Gradient for Meta-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