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 29262950 of 3569 papers

TitleStatusHype
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual LearningCode1
Learning Compositional Rules via Neural Program SynthesisCode1
Meta-learning curiosity algorithmsCode1
Online Meta-Critic Learning for Off-Policy Actor-Critic MethodsCode1
Fast Online Adaptation in Robotics through Meta-Learning Embeddings of Simulated PriorsCode1
Learning State-Dependent Losses for Inverse Dynamics Learning0
Incremental Few-Shot Object Detection0
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot LearningCode1
Single-View 3D Object Reconstruction from Shape Priors in Memory0
Finding online neural update rules by learning to remember0
Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in Cancer Histology Images0
TensorFlow Quantum: A Software Framework for Quantum Machine LearningCode2
TaskNorm: Rethinking Batch Normalization for Meta-LearningCode1
Zero-Shot Cross-Lingual Transfer with Meta LearningCode1
PAC-Bayes meta-learning with implicit task-specific posteriors0
Meta Cyclical Annealing Schedule: A Simple Approach to Avoiding Meta-Amortization Error0
End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-LearningCode1
Learning Context-aware Task Reasoning for Efficient Meta-reinforcement Learning0
Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning0
Meta-Transfer Learning for Zero-Shot Super-ResolutionCode1
Is the Meta-Learning Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised Learning?0
Meta-Learned Confidence for Few-shot LearningCode1
Using a thousand optimization tasks to learn hyperparameter search strategies0
Adversarial Monte Carlo Meta-Learning of Optimal Prediction ProceduresCode0
Provable Meta-Learning of Linear RepresentationsCode0
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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