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 31763200 of 3569 papers

TitleStatusHype
Fast Adaptation with Meta-Reinforcement Learning for Trust Modelling in Human-Robot Interaction0
Optimizing quantum heuristics with meta-learning0
MetaAdvDet: Towards Robust Detection of Evolving Adversarial AttacksCode0
Learning to Generalize to Unseen Tasks with Bilevel Optimization0
Meta-Learning Improves Lifelong Relation Extraction0
Few-Shot Meta-Denoising0
MeLU: Meta-Learned User Preference Estimator for Cold-Start RecommendationCode0
Meta Learning for Task-Driven Video Summarization0
ROAM: Recurrently Optimizing Tracking Model0
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference0
Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta LearningCode0
Towards meta-learning for multi-target regression problems0
Domain-Specific Priors and Meta Learning for Few-Shot First-Person Action Recognition0
TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot Action Recognition0
Meta-Learning for Black-box Optimization0
Towards Understanding Generalization in Gradient-Based Meta-Learning0
Adaptive Prior Selection for Repertoire-based Online Adaptation in RoboticsCode0
Evolvability ES: Scalable and Direct Optimization of EvolvabilityCode0
Seeker based Adaptive Guidance via Reinforcement Meta-Learning Applied to Asteroid Close Proximity Operations0
A Model-based Approach for Sample-efficient Multi-task Reinforcement Learning0
Learning to learn with quantum neural networks via classical neural networksCode1
Model-Agnostic Meta-Learning for Relation Classification with Limited Supervision0
Few-Shot Representation Learning for Out-Of-Vocabulary WordsCode0
Two-stage Optimization for Machine Learning WorkflowCode0
Difficulty-aware Meta-learning for Rare Disease Diagnosis0
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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