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 11011125 of 3569 papers

TitleStatusHype
Leaping Through Time with Gradient-based Adaptation for RecommendationCode0
An Ensemble of Epoch-wise Empirical Bayes for Few-shot LearningCode0
Layer-compensated Pruning for Resource-constrained Convolutional Neural NetworksCode0
learn2learn: A Library for Meta-Learning ResearchCode0
Consistency of Compositional Generalization across Multiple LevelsCode0
Latent Representation Learning of Multi-scale Thermophysics: Application to Dynamics in Shocked Porous Energetic MaterialCode0
Latent-Optimized Adversarial Neural Transfer for Sarcasm DetectionCode0
Latent Task-Specific Graph Network SimulatorsCode0
Learning Fast Adaptation with Meta Strategy OptimizationCode0
LabelCraft: Empowering Short Video Recommendations with Automated Label CraftingCode0
Approximately Equivariant Neural ProcessesCode0
ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement LearningCode0
Knowledge-enhanced Relation Graph and Task Sampling for Few-shot Molecular Property PredictionCode0
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in SegmentationCode0
Learning to Self-Train for Semi-Supervised Few-Shot ClassificationCode0
Joint inference and input optimization in equilibrium networksCode0
Adversarial Monte Carlo Meta-Learning of Optimal Prediction ProceduresCode0
Knowledge Distillation with Reptile Meta-Learning for Pretrained Language Model CompressionCode0
Concurrent Meta Reinforcement LearningCode0
Concept-free Causal Disentanglement with Variational Graph Auto-EncoderCode0
It HAS to be Subjective: Human Annotator Simulation via Zero-shot Density EstimationCode0
Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably?Code0
Comprehensive Fair Meta-learned Recommender SystemCode0
Adaptation-Agnostic Meta-TrainingCode0
Investigating Large Language Models for Complex Word Identification in Multilingual and Multidomain SetupsCode0
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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