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
MetAug: Contrastive Learning via Meta Feature AugmentationCode1
What Matters For Meta-Learning Vision Regression Tasks?Code1
FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in ContextCode1
Contrastive Meta Learning with Behavior Multiplicity for RecommendationCode1
Learning to Generalize across Domains on Single Test SamplesCode1
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data SetsCode1
L2B: Learning to Bootstrap Robust Models for Combating Label NoiseCode1
MetaKG: Meta-learning on Knowledge Graph for Cold-start RecommendationCode1
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-startCode1
Auto-Lambda: Disentangling Dynamic Task RelationshipsCode1
TIML: Task-Informed Meta-Learning for AgricultureCode1
Consolidated learning -- a domain-specific model-free optimization strategy with examples for XGBoost and MIMIC-IVCode1
OmniPrint: A Configurable Printed Character SynthesizerCode1
Graph Representation Learning for Multi-Task Settings: a Meta-Learning ApproachCode1
Learning To Learn and Remember Super Long Multi-Domain Task SequenceCode1
Recursive Least-Squares Estimator-Aided Online Learning for Visual TrackingCode1
N-Omniglot, a large-scale neuromorphic dataset for spatio-temporal sparse few-shot learningCode1
Graph Few-shot Class-incremental LearningCode1
Meta Propagation Networks for Graph Few-shot Semi-supervised LearningCode1
Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional NetworksCode1
A Structured Dictionary Perspective on Implicit Neural RepresentationsCode1
AirDet: Few-Shot Detection without Fine-tuning for Autonomous ExplorationCode1
Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social MediaCode1
Hardware-adaptive Efficient Latency Prediction for NAS via Meta-LearningCode1
Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-LearningCode1
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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