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 27712780 of 3569 papers

TitleStatusHype
EMPL: A novel Efficient Meta Prompt Learning Framework for Few-shot Unsupervised Domain Adaptation0
Enabling Continual Learning in Neural Networks with Meta Learning0
Enabling Deep Learning-based Physical-layer Secret Key Generation for FDD-OFDM Systems in Multi-Environments0
Enabling Reproducibility and Meta-learning Through a Lifelong Database of Experiments (LDE)0
EndTimes at SemEval-2021 Task 7: Detecting and Rating Humor and Offense with BERT and Ensembles0
End to End Generative Meta Curriculum Learning For Medical Data Augmentation0
End-to-End Learning of Deep Kernel Acquisition Functions for Bayesian Optimization0
End-to-End Offline Speech Translation System for IWSLT 2020 using Modality Agnostic Meta-Learning0
End-to-End Simultaneous Translation System for IWSLT2020 Using Modality Agnostic Meta-Learning0
Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent0
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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