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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3476–3500 of 3569 papers

TitleStatusHype
Meta-Learning with Hessian-Free Approach in Deep Neural Nets TrainingCode0
Task-Agnostic Meta-Learning for Few-shot Learning—0
Diverse Few-Shot Text Classification with Multiple MetricsCode0
Continuous Learning in a Hierarchical Multiscale Neural Network—0
Piecewise classifier mappings: Learning fine-grained learners for novel categories with few examplesCode0
Metatrace Actor-Critic: Online Step-size Tuning by Meta-gradient Descent for Reinforcement Learning Control—0
MetaBags: Bagged Meta-Decision Trees for Regression—0
Differentiable plasticity: training plastic neural networks with backpropagationCode0
Meta-Learning Update Rules for Unsupervised Representation LearningCode0
Meta-Learning a Dynamical Language Model—0
Meta Reinforcement Learning with Latent Variable Gaussian Processes—0
Natural Language to Structured Query Generation via Meta-LearningCode0
Federated Meta-Learning with Fast Convergence and Efficient Communication—0
Machine Theory of Mind—0
Multi-resolution Tensor Learning for Large-Scale Spatial Data—0
DiCE: The Infinitely Differentiable Monte-Carlo EstimatorCode0
Deep Meta-Learning: Learning to Learn in the Concept Space—0
Practical Transfer Learning for Bayesian OptimizationCode0
One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-LearningCode0
Interpretable Deep Convolutional Neural Networks via Meta-learning—0
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes—0
Gradient-Based Meta-Learning with Learned Layerwise Metric and SubspaceCode0
Meta-Tracker: Fast and Robust Online Adaptation for Visual Object Trackers—0
Joint autoencoders: a flexible meta-learning framework—0
The Context-Aware Learner—0
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All datasetsML10MT50ML45OMNIGLOT - 1-Shot, 20-way

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MZ+ReconMeta-train success rate97.8—Unverified
2MZMeta-train success rate97.6—Unverified
3MAMLMeta-test success rate36—Unverified
4RL^2Meta-test success rate10—Unverified
5DnCMeta-test success rate5.4—Unverified
6PEARLMeta-test success rate0—Unverified
#ModelMetricClaimedVerifiedStatus
1SoftModuleAverage Success Rate60—Unverified
2Multi-task multi-head SACAverage Success Rate35.85—Unverified
3DisCorAverage Success Rate26—Unverified
4NDPAverage Success Rate11—Unverified
#ModelMetricClaimedVerifiedStatus
1MZ+ReconMeta-test success rate (zero-shot)18.5—Unverified
2MZMeta-test success rate (zero-shot)17.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Metadrop% Test Accuracy95.75—Unverified