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 576600 of 3569 papers

TitleStatusHype
Incremental Object Detection via Meta-LearningCode1
Learning Meta Face Recognition in Unseen DomainsCode1
DisCor: Corrective Feedback in Reinforcement Learning via Distribution CorrectionCode1
Ultra Efficient Transfer Learning with Meta Update for Cross Subject EEG ClassificationCode1
Meta-Learning Initializations for Low-Resource Drug DiscoveryCode1
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual LearningCode1
Learning Compositional Rules via Neural Program SynthesisCode1
Online Meta-Critic Learning for Off-Policy Actor-Critic MethodsCode1
Meta-learning curiosity algorithmsCode1
Fast Online Adaptation in Robotics through Meta-Learning Embeddings of Simulated PriorsCode1
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot LearningCode1
TaskNorm: Rethinking Batch Normalization for Meta-LearningCode1
Zero-Shot Cross-Lingual Transfer with Meta LearningCode1
End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-LearningCode1
Meta-Learned Confidence for Few-shot LearningCode1
Meta-Transfer Learning for Zero-Shot Super-ResolutionCode1
Learning to Continually LearnCode1
Meta-learning Extractors for Music Source SeparationCode1
Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot TasksCode1
PACOH: Bayes-Optimal Meta-Learning with PAC-GuaranteesCode1
Meta-learning framework with applications to zero-shot time-series forecastingCode1
Geometric Dataset Distances via Optimal TransportCode1
Few-Shot Scene Adaptive Crowd Counting Using Meta-LearningCode1
Fast Adaptation to Super-Resolution Networks via Meta-LearningCode1
From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication SystemsCode1
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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