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 3451–3500 of 3569 papers

TitleStatusHype
Guided evolutionary strategies: Augmenting random search with surrogate gradientsCode0
Attention-based Few-Shot Person Re-identification Using Meta Learning—0
Learning to Update for Object Tracking with Recurrent Meta-learner—0
Meta-learning: searching in the model space—0
Far-HO: A Bilevel Programming Package for Hyperparameter Optimization and Meta-LearningCode0
Bilevel Programming for Hyperparameter Optimization and Meta-Learning—0
Meta-Learning for Stochastic Gradient MCMCCode0
Unsupervised Meta-Learning for Reinforcement Learning—0
Meta-Learning Transferable Active Learning Policies by Deep Reinforcement Learning—0
Auto-Meta: Automated Gradient Based Meta Learner Search—0
Adversarial Meta-Learning—0
Probabilistic Model-Agnostic Meta-Learning—0
Meta-Learning by the Baldwin Effect—0
Deep Mixture of Experts via Shallow EmbeddingCode0
Meta-Learner with Linear Nulling—0
On the Importance of Attention in Meta-Learning for Few-Shot Text Classification—0
Text normalization using memory augmented neural networksCode0
Learning to Propagate Labels: Transductive Propagation Network for Few-shot LearningCode0
Analysing Symbolic Regression Benchmarks under a Meta-Learning Approach—0
Lifelong Domain Word Embedding via Meta-LearningCode0
Meta-Gradient Reinforcement LearningCode0
Been There, Done That: Meta-Learning with Episodic RecallCode0
Meta-Learning Probabilistic Inference For PredictionCode0
Meta-Learning for Low-Resource Neural Machine Translation—0
Multi-task Maximum Entropy Inverse Reinforcement LearningCode0
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