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 676700 of 3569 papers

TitleStatusHype
Learning to Propagate Labels: Transductive Propagation Network for Few-shot LearningCode0
Learning to Multi-Task by Active SamplingCode0
Learning to Propagate for Graph Meta-LearningCode0
Learning to reinforcement learn for Neural Architecture SearchCode0
Boosting Lightweight Single Image Super-resolution via Joint-distillationCode0
Learning to Learn Transferable AttackCode0
Amortised Inference in Bayesian Neural NetworksCode0
Learning to Learn Variational Semantic MemoryCode0
Learning to Learn Words from Visual ScenesCode0
Learning to Learn Single Domain GeneralizationCode0
Bayesian Active Meta-Learning for Few Pilot Demodulation and EqualizationCode0
A Bridge Between Hyperparameter Optimization and Learning-to-learnCode0
Learning to Learn Kernels with Variational Random FeaturesCode0
Learning to Modulate Random Weights: Neuromodulation-inspired Neural Networks For Efficient Continual LearningCode0
LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing PlatformsCode0
Learning to Learn Cropping Models for Different Aspect Ratio RequirementsCode0
Blinder: End-to-end Privacy Protection in Sensing Systems via Personalized Federated LearningCode0
Learning to Learn By Self-CritiqueCode0
Learning to learn ecosystems from limited data -- a meta-learning approachCode0
A MIND for Reasoning: Meta-learning for In-context DeductionCode0
Black box meta-learning intrinsic rewards for sparse-reward environmentsCode0
Learning to Generate Noise for Multi-Attack RobustnessCode0
Learning to learn by gradient descent by gradient descentCode0
BioAct-Het: A Heterogeneous Siamese Neural Network for Bioactivity Prediction Using Novel Bioactivity RepresentatioCode0
A Meta-Transfer Objective for Learning to Disentangle Causal MechanismsCode0
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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