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 951975 of 3569 papers

TitleStatusHype
Deep Compressed SensingCode0
Learning Invariances for Policy GeneralizationCode0
Learning New Tasks from a Few Examples with Soft-Label PrototypesCode0
Learning Fast Adaptation with Meta Strategy OptimizationCode0
Learning Deep Morphological Networks with Neural Architecture SearchCode0
Capability-Aware Shared Hypernetworks for Flexible Heterogeneous Multi-Robot CoordinationCode0
Decomposed Meta-Learning for Few-Shot Sequence LabelingCode0
Evaluating recommender systems for AI-driven biomedical informaticsCode0
Decoder Choice Network for Meta-LearningCode0
Deciphering Trajectory-Aided LLM Reasoning: An Optimization PerspectiveCode0
A Bridge Between Hyperparameter Optimization and Learning-to-learnCode0
Meta-Regularization by Enforcing Mutual-ExclusivenessCode0
Asynchronous Distributed Bilevel OptimizationCode0
Meta-Reinforcement Learning for Reliable Communication in THz/VLC Wireless VR NetworksCode0
Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal PredictionCode0
Evolvability ES: Scalable and Direct Optimization of EvolvabilityCode0
Learning to reinforcement learn for Neural Architecture SearchCode0
Deceptive Fairness Attacks on Graphs via Meta LearningCode0
learn2learn: A Library for Meta-Learning ResearchCode0
Adaptive Domain-Specific Normalization for Generalizable Person Re-IdentificationCode0
Leaping Through Time with Gradient-based Adaptation for RecommendationCode0
Latent Task-Specific Graph Network SimulatorsCode0
Data Valuation using Reinforcement LearningCode0
Exploiting Adapters for Cross-lingual Low-resource Speech RecognitionCode0
Layer-compensated Pruning for Resource-constrained Convolutional Neural NetworksCode0
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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