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 151175 of 3569 papers

TitleStatusHype
Adapting to Distribution Shift by Visual Domain Prompt GenerationCode1
BOME! Bilevel Optimization Made Easy: A Simple First-Order ApproachCode1
Boosting Few-Shot Classification with View-Learnable Contrastive LearningCode1
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective AdaptationCode1
Can Learned Optimization Make Reinforcement Learning Less Difficult?Code1
CD-FSOD: A Benchmark for Cross-domain Few-shot Object DetectionCode1
A General Descent Aggregation Framework for Gradient-based Bi-level OptimizationCode1
BlackGoose Rimer: Harnessing RWKV-7 as a Simple yet Superior Replacement for Transformers in Large-Scale Time Series ModelingCode1
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data SetsCode1
Adv-Makeup: A New Imperceptible and Transferable Attack on Face RecognitionCode1
Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image Super-Resolution in Real WorldCode1
Contrastive Meta-Learning for Partially Observable Few-Shot LearningCode1
Control-oriented meta-learningCode1
Copolymer Informatics with Multi-Task Deep Neural NetworksCode1
Cross-Domain Few-Shot Classification via Adversarial Task AugmentationCode1
Cross-domain Few-shot Object Detection with Multi-modal Textual EnrichmentCode1
A Channel Coding Benchmark for Meta-LearningCode1
Curriculum-Meta Learning for Order-Robust Continual Relation ExtractionCode1
Adaptive-Control-Oriented Meta-Learning for Nonlinear SystemsCode1
AwesomeMeta+: A Mixed-Prototyping Meta-Learning System Supporting AI Application Design AnywhereCode1
Automating Outlier Detection via Meta-LearningCode1
Automating Continual LearningCode1
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel LearningCode1
Deep Random Projector: Accelerated Deep Image PriorCode1
Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural NetworksCode1
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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