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

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Showing 3501–3550 of 3569 papers

TitleStatusHype
TGG: Transferable Graph Generation for Zero-shot and Few-shot LearningCode0
Sign-MAML: Efficient Model-Agnostic Meta-Learning by SignSGDCode0
Predicting Configuration Performance in Multiple Environments with Sequential Meta-learningCode0
Few-Shot Learning with Global Class RepresentationsCode0
Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear Filters and Equilibrium PropagationCode0
Cost Adaptation for Robust Decentralized Swarm BehaviourCode0
Adaptive Gradient-Based Meta-Learning MethodsCode0
Few-Shot Learning for Image Classification of Common FloraCode0
Cooperative Meta-Learning with Gradient AugmentationCode0
Adaptive Fine-Grained Sketch-Based Image RetrievalCode0
Similarity of Classification TasksCode0
Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-LearningCode0
Few-Shot Fine-Grained Action Recognition via Bidirectional Attention and Contrastive Meta-LearningCode0
Automated Privacy-Preserving Techniques via Meta-LearningCode0
Simple Domain Generalization Methods are Strong Baselines for Open Domain GeneralizationCode0
Few-shot Conformal Prediction with Auxiliary TasksCode0
AutoLoss: Learning Discrete Schedules for Alternate OptimizationCode0
Few-Shot Classification of Skin Lesions from Dermoscopic Images by Meta-Learning Representative EmbeddingsCode0
MetaPix: Domain Transfer for Semantic Segmentation by Meta Pixel WeightingCode0
MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-LearningCode0
Few-shot classification in Named Entity Recognition TaskCode0
Fast Few-Shot Classification by Few-Iteration Meta-LearningCode0
Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-MindCode0
MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health RecordsCode0
Contrastive Meta-Learning for Few-shot Node ClassificationCode0
The Advantage of Conditional Meta-Learning for Biased Regularization and Fine TuningCode0
Few-Shot Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal PredictionCode0
Few-shot calibration of low-cost air pollution (PM2.5) sensors using meta-learningCode0
Few-Shot Adversarial Learning of Realistic Neural Talking Head ModelsCode0
Few-Shot Adaptive Gaze EstimationCode0
Wasserstein Task Embedding for Measuring Task SimilaritiesCode0
Zero-shot causal learningCode0
Continuous Meta-Learning without TasksCode0
Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual LearningCode0
Meta R-CNN: Towards General Solver for Instance-Level Low-Shot LearningCode0
ALPaCA vs. GP-based Prior Learning: A Comparison between two Bayesian Meta-Learning AlgorithmsCode0
Meta-Referential Games to Learn Compositional Learning BehavioursCode0
Meta-RegGNN: Predicting Verbal and Full-Scale Intelligence Scores using Graph Neural Networks and Meta-LearningCode0
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive EnvironmentsCode0
Probabilistic Matrix Factorization for Automated Machine LearningCode0
Meta-Regularization by Enforcing Mutual-ExclusivenessCode0
Trace norm regularization for multi-task learning with scarce dataCode0
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual RecognitionCode0
Skin Lesion Diagnosis using Ensembles, Unscaled Multi-Crop Evaluation and Loss WeightingCode0
Meta reinforcement learning as task inferenceCode0
Probabilistic task modelling for meta-learningCode0
A Unified Meta-Learning Framework for Dynamic Transfer LearningCode0
Tracking Brand-Associated Polarity-Bearing Topics in User ReviewsCode0
Social Processes: Probabilistic Meta-learning for Adaptive Multiparty Interaction ForecastingCode0
Adaptive Domain-Specific Normalization for Generalizable Person Re-IdentificationCode0
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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