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 3176–3200 of 3569 papers

TitleStatusHype
Discrete InfoMax Codes for Meta-Learning—0
Meta-Learning with Network Pruning for Overfitting Reduction—0
Meta-Learning by Hallucinating Useful Examples—0
Meta-NeighborhoodsCode0
MetalGAN: a Cluster-based Adaptive Training for Few-Shot Adversarial Colorization—0
Meta Reinforcement Learning for Sim-to-real Domain Adaptation—0
Learning to Tune XGBoost with XGBoost—0
Torchmeta: A Meta-Learning library for PyTorchCode0
Meta-Learning for Few-Shot Time Series Classification—0
Modular Meta-Learning with Shrinkage—0
Differentially Private Meta-Learning—0
Nonstationary Nonparametric Online Learning: Balancing Dynamic Regret and Model Parsimony—0
Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning—0
Recognizing Variables from their Data via Deep Embeddings of Distributions—0
Learning to Propagate for Graph Meta-LearningCode0
Domain-Agnostic Few-Shot Classification by Learning Disparate Modulators—0
Cellular neuromodulation in artificial networks—0
A Meta-Learning Framework for Generalized Zero-Shot LearningCode0
Meta-learnt priors slow down catastrophic forgetting in neural networksCode0
Learning to Sample: an Active Learning Framework—0
Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification—0
Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit FeedbackCode0
AutoML for Contextual Bandits—0
Efficient Automatic Meta Optimization Search for Few-Shot Learning—0
Meta Learning with Relational Information for Short SequencesCode0
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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