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 22262250 of 3569 papers

TitleStatusHype
X-METRA-ADA: Cross-lingual Meta-Transfer Learning Adaptation to Natural Language Understanding and Question AnsweringCode1
Do We Really Need Gold Samples for Sample Weighting Under Label Noise?Code2
Latent-Optimized Adversarial Neural Transfer for Sarcasm DetectionCode0
Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot LearningCode0
On the Influence of Masking Policies in Intermediate Pre-training0
MetaXL: Meta Representation Transformation for Low-resource Cross-lingual LearningCode1
Editing Factual Knowledge in Language ModelsCode1
Generalizable No-Reference Image Quality Assessment via Deep Meta-learningCode1
Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature AlignmentCode1
Learning Normal Dynamics in Videos with Meta Prototype NetworkCode1
Multilingual Transfer Learning for Code-Switched Language and Speech Neural Modeling0
Contextual HyperNetworks for Novel Feature Adaptation0
How Sensitive are Meta-Learners to Dataset Imbalance?Code1
Meta-Learning for Fast Cross-Lingual Adaptation in Dependency ParsingCode0
Meta-Learning Bidirectional Update RulesCode0
Direct Differentiable Augmentation SearchCode1
Towards Enabling Meta-Learning from Target ModelsCode0
Efficient time stepping for numerical integration using reinforcement learningCode0
Open Domain Generalization with Domain-Augmented Meta-Learning0
Few-Shot Meta-Learning on Point Cloud for Semantic Segmentation0
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark0
A Student-Teacher Architecture for Dialog Domain Adaptation under the Meta-Learning Setting0
MetaHTR: Towards Writer-Adaptive Handwritten Text RecognitionCode1
A contrastive rule for meta-learningCode1
Thalamocortical contribution to solving credit assignment in neural systems0
Show:102550
← PrevPage 90 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