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 34763500 of 3569 papers

TitleStatusHype
FewSOL: A Dataset for Few-Shot Object Learning in Robotic EnvironmentsCode0
Approximately Equivariant Neural ProcessesCode0
Cross-domain Multi-modal Few-shot Object Detection via Rich TextCode0
Should We Be Pre-training? An Argument for End-task Aware Training as an AlternativeCode0
PICASO: Permutation-Invariant Cascaded Attentional Set OperatorCode0
MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical ImagingCode0
Piecewise classifier mappings: Learning fine-grained learners for novel categories with few examplesCode0
Few-Shot Representation Learning for Out-Of-Vocabulary WordsCode0
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ SegmentationCode0
Meta-Meta Classification for One-Shot LearningCode0
PIED: Physics-Informed Experimental Design for Inverse ProblemsCode0
Feature Extractor Stacking for Cross-domain Few-shot LearningCode0
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual InformationCode0
Cross-Domain Few-Shot Graph ClassificationCode0
Test-Time Domain Adaptation by Learning Domain-Aware Batch NormalizationCode0
PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its applications on real-world medical recordsCode0
Few-shot Quality-Diversity OptimizationCode0
PointFix: Learning to Fix Domain Bias for Robust Online Stereo AdaptationCode0
Window Stacking Meta-Models for Clinical EEG ClassificationCode0
Meta-NeighborhoodsCode0
Text normalization using memory augmented neural networksCode0
Meta NetworksCode0
TGDM: Target Guided Dynamic Mixup for Cross-Domain Few-Shot LearningCode0
Cross-Domain Continual Learning via CLAMPCode0
Few-shot Node Classification with Extremely Weak SupervisionCode0
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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