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 20512075 of 3569 papers

TitleStatusHype
Reconstruction guided Meta-learning for Few Shot Open Set Recognition0
Bilevel Optimization for Machine Learning: Algorithm Design and Convergence Analysis0
Adaptive Approach Phase Guidance for a Hypersonic Glider via Reinforcement Meta Learning0
A Thorough Review on Recent Deep Learning Methodologies for Image Captioning0
Dataset Distillation with Infinitely Wide Convolutional NetworksCode0
Subgraph-aware Few-Shot Inductive Link Prediction via Meta-Learning0
Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text ClassificationCode1
Enhanced Bilevel Optimization via Bregman Distance0
Meta-FDMixup: Cross-Domain Few-Shot Learning Guided by Labeled Target DataCode1
ProtoTransformer: A Meta-Learning Approach to Providing Student FeedbackCode1
A novel meta-learning initialization method for physics-informed neural networks0
Improving the Generalization of Meta-learning on Unseen Domains via Adversarial Shift0
Soft Layer Selection with Meta-Learning for Zero-Shot Cross-Lingual Transfer0
Neural Fixed-Point Acceleration for Convex OptimizationCode1
Learn2Hop: Learned Optimization on Rough Landscapes0
Algorithm Selection on a Meta LevelCode0
Boosting Few-Shot Classification with View-Learnable Contrastive LearningCode1
Adaptive Transfer Learning on Graph Neural NetworksCode1
PICASO: Permutation-Invariant Cascaded Attentional Set OperatorCode0
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction0
Stacking hybrid GARCH models for forecasting Bitcoin volatility0
Next-item Recommendations in Short Sessions0
A Channel Coding Benchmark for Meta-LearningCode1
Principal component analysis for Gaussian process posteriors0
FLEX: Unifying Evaluation for Few-Shot NLPCode1
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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