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 901925 of 3569 papers

TitleStatusHype
Hybrid Control Policy for Artificial Pancreas via Ensemble Deep Reinforcement Learning0
TinyMetaFed: Efficient Federated Meta-Learning for TinyML0
Generalizing Supervised Deep Learning MRI Reconstruction to Multiple and Unseen Contrasts using Meta-Learning HypernetworksCode0
Writer adaptation for offline text recognition: An exploration of neural network-based methodsCode0
OntoChatGPT Information System: Ontology-Driven Structured Prompts for ChatGPT Meta-LearningCode1
Advances and Challenges in Meta-Learning: A Technical Review0
CognitiveNet: Enriching Foundation Models with Emotions and Awareness0
Semi Supervised Meta Learning for Spatiotemporal Learning0
MALIBO: Meta-learning for Likelihood-free Bayesian OptimizationCode0
Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms0
LogitMat : Zeroshot Learning Algorithm for Recommender Systems without Transfer Learning or Pretrained Models0
Meta Federated Reinforcement Learning for Distributed Resource Allocation0
Personalized Federated Learning via Amortized Bayesian Meta-Learning0
Meta-Learning Adversarial Bandit Algorithms0
First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-OffsCode1
All in One: Multi-task Prompting for Graph Neural Networks0
Improving Language Plasticity via Pretraining with Active ForgettingCode1
Model-Assisted Probabilistic Safe Adaptive Control With Meta-Bayesian Learning0
OpenClinicalAI: An Open and Dynamic Model for Alzheimer's Disease Diagnosis0
Graph Sampling-based Meta-Learning for Molecular Property PredictionCode1
Elastically-Constrained Meta-Learner for Federated Learning0
AutoML in Heavily Constrained ApplicationsCode0
A Meta-Learning Method for Estimation of Causal Excursion Effects to Assess Time-Varying ModerationCode0
Unsupervised Episode Generation for Graph Meta-learningCode1
Contrastive Meta-Learning for Few-shot Node ClassificationCode0
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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