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 276300 of 3569 papers

TitleStatusHype
Evading Forensic Classifiers with Attribute-Conditioned Adversarial FacesCode1
A Structured Dictionary Perspective on Implicit Neural RepresentationsCode1
AutoDebias: Learning to Debias for RecommendationCode1
Automated Machine Learning Techniques for Data StreamsCode1
Automated Relational Meta-learningCode1
Editing Factual Knowledge in Language ModelsCode1
Exploration in Approximate Hyper-State Space for Meta Reinforcement LearningCode1
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot LearningCode1
Exploring Task Difficulty for Few-Shot Relation ExtractionCode1
Adversarial Feature Augmentation for Cross-domain Few-shot ClassificationCode1
Automating Continual LearningCode1
Bayesian Model-Agnostic Meta-LearningCode1
EEG-Reptile: An Automatized Reptile-Based Meta-Learning Library for BCIsCode1
A Physics-Informed Meta-Learning Framework for the Continuous Solution of Parametric PDEs on Arbitrary GeometriesCode1
A picture of the space of typical learnable tasksCode1
Efficient Automatic Tuning for Data-driven Model Predictive Control via Meta-LearningCode1
Federated Reconstruction: Partially Local Federated LearningCode1
Adv-Makeup: A New Imperceptible and Transferable Attack on Face RecognitionCode1
Few-shot Action Recognition with Prototype-centered Attentive LearningCode1
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled DataCode1
AwesomeMeta+: A Mixed-Prototyping Meta-Learning System Supporting AI Application Design AnywhereCode1
Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural NetworksCode1
Few-Shot Graph Learning for Molecular Property PredictionCode1
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot RelationsCode1
A Simple Approach to Case-Based Reasoning in Knowledge BasesCode1
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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