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 33263350 of 3569 papers

TitleStatusHype
Learning to Learn with Conditional Class Dependencies0
Learning Meta Model for Zero- and Few-shot Face Anti-spoofing0
META-Learning State-based Eligibility Traces for More Sample-Efficient Policy EvaluationCode0
Hierarchical Meta Learning0
Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes0
Online Adaptation through Meta-Learning for Stereo Depth Estimation0
An Ensemble of Epoch-wise Empirical Bayes for Few-shot LearningCode0
ACE: Adapting to Changing Environments for Semantic Segmentation0
TAFE-Net: Task-Aware Feature Embeddings for Low Shot LearningCode0
MxML: Mixture of Meta-Learners for Few-Shot Classification0
Few-Shot Learning with Localization in Realistic SettingsCode0
L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout0
Compare More Nuanced:Pairwise Alignment Bilinear Network For Few-shot Fine-grained LearningCode0
Actively Seeking and Learning from Live Data0
Meta-Learning Acquisition Functions for Transfer Learning in Bayesian OptimizationCode0
A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning0
Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage DatasetCode0
Guided Meta-Policy Search0
Adaptive Bayesian Linear Regression for Automated Machine Learning0
Meta-Learning surrogate models for sequential decision making0
Diversity with Cooperation: Ensemble Methods for Few-Shot ClassificationCode0
A Pseudo-Label Method for Coarse-to-Fine Multi-Label Learning with Limited Supervision0
Few-Shot Regression via Learned Basis Functions0
Enhancing Generalization of First-Order Meta-Learning0
Learning Feature Relevance Through Step Size Adaptation in Temporal-Difference Learning0
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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