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 13261350 of 3569 papers

TitleStatusHype
Uncertainty-Aware Meta-Learning for Multimodal Task DistributionsCode0
Learning with Limited Samples -- Meta-Learning and Applications to Communication Systems0
Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation0
PersA-FL: Personalized Asynchronous Federated Learning0
On Stability and Generalization of Bilevel Optimization Problem0
Meta-Learning Priors for Safe Bayesian Optimization0
Recurrent Meta-Learning against Generalized Cold-start Problem in CTR PredictionCode0
Learning Intrinsic and Extrinsic Intentions for Cold-start Recommendation with Neural Stochastic Processes0
MetaSLRCL: A Self-Adaptive Learning Rate and Curriculum Learning Based Framework for Few-Shot Text Classification0
Sentence-aware Adversarial Meta-Learning for Few-Shot Text Classification0
DRK: Discriminative Rule-based Knowledge for Relieving Prediction Confusions in Few-shot Relation Extraction0
Does Meta-learning Help mBERT for Few-shot Question Generation in a Cross-lingual Transfer Setting for Indic Languages?0
Meta-CQG: A Meta-Learning Framework for Complex Question Generation over Knowledge Bases0
Unsupervised Domain Adaptation for Text Classification via Meta Self-Paced Learning0
Knowledge Distillation with Reptile Meta-Learning for Pretrained Language Model CompressionCode0
Beyond Bayes-optimality: meta-learning what you know you don't know0
The Curse of Unrolling: Rate of Differentiating Through Optimization0
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-LearningCode0
TaskMix: Data Augmentation for Meta-Learning of Spoken Intent Understanding0
Meta-Learning a Cross-lingual Manifold for Semantic ParsingCode0
Blinder: End-to-end Privacy Protection in Sensing Systems via Personalized Federated LearningCode0
Graph Neural Network Expressivity and Meta-Learning for Molecular Property Regression0
Defending against Poisoning Backdoor Attacks on Federated Meta-learning0
Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-LearningCode1
MetaPrompting: Learning to Learn Better PromptsCode1
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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