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 26012625 of 3569 papers

TitleStatusHype
Dif-MAML: Decentralized Multi-Agent Meta-Learning0
CURI: A Benchmark for Productive Concept Learning Under UncertaintyCode1
Meta-Learning of Structured Task Distributions in Humans and MachinesCode0
MetaPhys: Few-Shot Adaptation for Non-Contact Physiological MeasurementCode1
Improving Few-Shot Learning through Multi-task Representation Learning TheoryCode0
Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning0
Exploration in Approximate Hyper-State Space for Meta Reinforcement LearningCode1
Fast Few-Shot Classification by Few-Iteration Meta-LearningCode0
Bayesian Meta-reinforcement Learning for Traffic Signal Control0
MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization0
Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations0
Bayesian Online Meta-Learning0
Provably Faster Algorithms for Bilevel Optimization and Applications to Meta-Learning0
Non-greedy Gradient-based Hyperparameter Optimization Over Long Horizons0
Improving Few-Shot Visual Classification with Unlabelled Examples0
Putting Theory to Work: From Learning Bounds to Meta-Learning Algorithms0
Adaptive Risk Minimization: A Meta-Learning Approach for Tackling Group Shift0
Interventional Few-Shot LearningCode1
Learning to Adapt Multi-View Stereo by Self-Supervision0
BOML: A Modularized Bilevel Optimization Library in Python for Meta LearningCode1
A Primal-Dual Subgradient Approachfor Fair Meta LearningCode0
Domain Generalization via Semi-supervised Meta LearningCode0
Complementary Meta-Reinforcement Learning for Fault-Adaptive Control0
A Meta-learning based Distribution System Load Forecasting Model Selection Framework0
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey0
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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