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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2851–2900 of 3569 papers

TitleStatusHype
Information-Theoretic Generalization Bounds for Meta-Learning and Applications—0
Predicting Scores of Medical Imaging Segmentation Methods with Meta-Learning—0
Safe Reinforcement Learning through Meta-learned Instincts—0
Generalized Reinforcement Meta Learning for Few-Shot Optimization—0
Bayesian Meta Sampling for Fast Uncertainty AdaptationCode0
Towards Fast Adaptation of Neural Architectures with Meta LearningCode1
Meta Dropout: Learning to Perturb Latent Features for GeneralizationCode1
Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards—0
Physarum Powered Differentiable Linear Programming Layers and ApplicationsCode1
Addressing Catastrophic Forgetting in Few-Shot ProblemsCode0
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense DisambiguationCode1
Meta-Learning for Few-Shot Land Cover Classification—0
Learning to Learn Morphological Inflection for Resource-Poor Languages—0
Empirical Bayes Transductive Meta-Learning with Synthetic GradientsCode1
MICK: A Meta-Learning Framework for Few-shot Relation Classification with Small Training Data—0
Challenge Closed-book Science Exam: A Meta-learning Based Question Answering System—0
Automatic low-bit hybrid quantization of neural networks through meta learning—0
ST^2: Small-data Text Style Transfer via Multi-task Meta-Learning—0
Model-Based Meta-Reinforcement Learning for Flight with Suspended PayloadsCode1
Learning a Formula of Interpretability to Learn Interpretable FormulasCode1
Learning to Classify Intents and Slot Labels Given a Handful of Examples—0
Dynamic Knowledge Graph-based Dialogue Generation with Improved Adversarial Meta-Learning—0
Knowledge-graph based Proactive Dialogue Generation with Improved Meta-Learning—0
Reinforcement Meta-Learning for Interception of Maneuvering Exoatmospheric Targets with Parasitic Attitude LoopCode1
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning—0
Meta-Meta Classification for One-Shot LearningCode0
Divergent Search for Few-Shot Image Classification—0
Regularizing Meta-Learning via Gradient DropoutCode1
Pre-training Text Representations as Meta Learning—0
Self-Supervised Tuning for Few-Shot Segmentation—0
Meta-Learning in Neural Networks: A SurveyCode1
MetaIQA: Deep Meta-learning for No-Reference Image Quality AssessmentCode1
Training few-shot classification via the perspective of minibatch and pretraining—0
Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation—0
MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-LearningCode1
Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning—0
QuantNet: Transferring Learning Across Systematic Trading StrategiesCode1
Meta-Learning for Few-Shot NMT Adaptation—0
There and Back Again: Revisiting Backpropagation Saliency MethodsCode1
Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length PairsCode1
Arbitrary Scale Super-Resolution for Brain MRI ImagesCode0
Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News—0
Sequential Learning for Domain Generalization—0
Guided Variational Autoencoder for Disentanglement Learning—0
Scene-Adaptive Video Frame Interpolation via Meta-LearningCode1
Tracking by Instance Detection: A Meta-Learning Approach—0
MetaPoison: Practical General-purpose Clean-label Data PoisoningCode1
DPGN: Distribution Propagation Graph Network for Few-shot LearningCode1
MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation—0
Learning to Learn Single Domain GeneralizationCode0
Show:102550
← PrevPage 58 of 72Next →
All datasetsML10MT50ML45OMNIGLOT - 1-Shot, 20-way

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MZ+ReconMeta-train success rate97.8—Unverified
2MZMeta-train success rate97.6—Unverified
3MAMLMeta-test success rate36—Unverified
4RL^2Meta-test success rate10—Unverified
5DnCMeta-test success rate5.4—Unverified
6PEARLMeta-test success rate0—Unverified
#ModelMetricClaimedVerifiedStatus
1SoftModuleAverage Success Rate60—Unverified
2Multi-task multi-head SACAverage Success Rate35.85—Unverified
3DisCorAverage Success Rate26—Unverified
4NDPAverage Success Rate11—Unverified
#ModelMetricClaimedVerifiedStatus
1MZ+ReconMeta-test success rate (zero-shot)18.5—Unverified
2MZMeta-test success rate (zero-shot)17.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Metadrop% Test Accuracy95.75—Unverified