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 526550 of 3569 papers

TitleStatusHype
Learned Initializations for Optimizing Coordinate-Based Neural RepresentationsCode1
Continued Pretraining for Better Zero- and Few-Shot PromptabilityCode1
Contrastive Meta Learning with Behavior Multiplicity for RecommendationCode1
A Broader Study of Cross-Domain Few-Shot LearningCode1
Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the WildCode1
Contrastive Meta-Learning for Partially Observable Few-Shot LearningCode1
Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate PredictionCode1
Learning Neural Causal Models from Unknown InterventionsCode1
Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image Super-Resolution in Real WorldCode1
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot LearningCode1
ContrastNet: A Contrastive Learning Framework for Few-Shot Text ClassificationCode1
Control-oriented meta-learningCode1
Learning to Adapt to Evolving DomainsCode1
Copolymer Informatics with Multi-Task Deep Neural NetworksCode1
Cross-Domain Few-Shot Classification via Adversarial Task AugmentationCode1
Learning to Continually LearnCode1
Covariate Distribution Aware Meta-learningCode1
Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-RankingCode1
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-LearningCode1
Cross-Market Product RecommendationCode1
Learning to Generalize across Domains on Single Test SamplesCode1
Curriculum-Meta Learning for Order-Robust Continual Relation ExtractionCode1
Learning to Generalize with Object-centric Agents in the Open World Survival Game CrafterCode1
CURI: A Benchmark for Productive Concept Learning Under UncertaintyCode1
Cross-domain Few-shot Object Detection with Multi-modal Textual EnrichmentCode1
Show:102550
← PrevPage 22 of 143Next →

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