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 501550 of 3569 papers

TitleStatusHype
La-MAML: Look-ahead Meta Learning for Continual LearningCode1
Improving Generalization in Meta-learning via Task AugmentationCode1
Few-Shot Object Detection and Viewpoint Estimation for Objects in the WildCode1
Fuzzy Graph Neural Network for Few-Shot LearningCode1
Probabilistic Active Meta-LearningCode1
Discovering Reinforcement Learning AlgorithmsCode1
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous GraphsCode1
Gradient-based Hyperparameter Optimization Over Long HorizonsCode1
How to trust unlabeled data? Instance Credibility Inference for Few-Shot LearningCode1
Few-shot Scene-adaptive Anomaly DetectionCode1
Concept Learners for Few-Shot LearningCode1
Meta Soft Label Generation for Noisy LabelsCode1
Semi-Supervised Learning with Meta-GradientCode1
Few-Shot One-Class Classification via Meta-LearningCode1
MAMO: Memory-Augmented Meta-Optimization for Cold-start RecommendationCode1
Adaptive Risk Minimization: Learning to Adapt to Domain ShiftCode1
Covariate Distribution Aware Meta-learningCode1
Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network EmbeddingCode1
Few-shot Relation Extraction via Bayesian Meta-learning on Relation GraphsCode1
Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen DomainsCode1
Neural Interactive Collaborative FilteringCode1
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural ProcessesCode1
On the Iteration Complexity of Hypergradient ComputationCode1
Laplacian Regularized Few-Shot LearningCode1
Few-Shot Microscopy Image Cell SegmentationCode1
Universal linguistic inductive biases via meta-learningCode1
Many-Class Few-Shot Learning on Multi-Granularity Class HierarchyCode1
Laplacian Regularized Few-Shot LearningCode1
A Simple Approach to Case-Based Reasoning in Knowledge BasesCode1
AReLU: Attention-based Rectified Linear UnitCode1
Graph Prototypical Networks for Few-shot Learning on Attributed NetworksCode1
Learning with AMIGo: Adversarially Motivated Intrinsic GoalsCode1
Self-Supervised Prototypical Transfer Learning for Few-Shot ClassificationCode1
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian ProcessesCode1
Self-supervised Knowledge Distillation for Few-shot LearningCode1
MetaSDF: Meta-learning Signed Distance FunctionsCode1
Personalized Federated Learning with Moreau EnvelopesCode1
Flexible Dataset Distillation: Learn Labels Instead of ImagesCode1
Graph Meta Learning via Local SubgraphsCode1
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and ArchitecturesCode1
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link PredictionCode1
Personalized Image Aesthetics Assessment via Meta-Learning With Bilevel Gradient OptimizationCode1
MC-BERT: Efficient Language Pre-Training via a Meta ControllerCode1
Learning to Stop While Learning to PredictCode1
Adaptive Subspaces for Few-Shot LearningCode1
Attentive Weights Generation for Few Shot Learning via Information MaximizationCode1
Training Noise-Robust Deep Neural Networks via Meta-LearningCode1
How to Retrain Recommender System? A Sequential Meta-Learning MethodCode1
Few-Shot Open-Set Recognition using Meta-LearningCode1
An Analysis of the Adaptation Speed of Causal ModelsCode1
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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