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 326350 of 3569 papers

TitleStatusHype
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural NetworksCode1
Gradient Imitation Reinforcement Learning for Low Resource Relation ExtractionCode1
Cross-Market Product RecommendationCode1
Leveraging Table Content for Zero-shot Text-to-SQL with Meta-LearningCode1
Exploring Task Difficulty for Few-Shot Relation ExtractionCode1
Knowledge-Aware Meta-learning for Low-Resource Text ClassificationCode1
Evolving Decomposed Plasticity Rules for Information-Bottlenecked Meta-LearningCode1
Few-shot Visual Relationship Co-localizationCode1
Meta Self-Learning for Multi-Source Domain Adaptation: A BenchmarkCode1
Relational Embedding for Few-Shot ClassificationCode1
Prototype Completion for Few-Shot LearningCode1
Meta Gradient Adversarial AttackCode1
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight TransformerCode1
Dynamic Relevance Learning for Few-Shot Object DetectionCode1
ProtAugment: Intent Detection Meta-Learning through Unsupervised Diverse ParaphrasingCode1
Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text ClassificationCode1
Meta-FDMixup: Cross-Domain Few-Shot Learning Guided by Labeled Target DataCode1
ProtoTransformer: A Meta-Learning Approach to Providing Student FeedbackCode1
Neural Fixed-Point Acceleration for Convex OptimizationCode1
Boosting Few-Shot Classification with View-Learnable Contrastive LearningCode1
Adaptive Transfer Learning on Graph Neural NetworksCode1
A Channel Coding Benchmark for Meta-LearningCode1
FLEX: Unifying Evaluation for Few-Shot NLPCode1
Sequential Recommendation for Cold-start Users with Meta Transitional LearningCode1
Memory Efficient Meta-Learning with Large ImagesCode1
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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