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

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Showing 1751–1800 of 3569 papers

TitleStatusHype
Meta-Teaching: Curriculum Generation for Lifelong Learning—0
Meta-Thompson Sampling—0
MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning—0
Metatrace Actor-Critic: Online Step-size Tuning by Meta-gradient Descent for Reinforcement Learning Control—0
Meta-Tracker: Fast and Robust Online Adaptation for Visual Object Trackers—0
Meta-trained agents implement Bayes-optimal agents—0
MetaTra: Meta-Learning for Generalized Trajectory Prediction in Unseen Domain—0
Meta-Transfer Learning Empowered Temporal Graph Networks for Cross-City Real Estate Appraisal—0
Meta Transfer of Self-Supervised Knowledge: Foundation Model in Action for Post-Traumatic Epilepsy Prediction—0
Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification—0
MetaTS: Meta Teacher-Student Network for Multilingual Sequence Labeling with Minimal Supervision—0
Meta-TTT: A Meta-learning Minimax Framework For Test-Time Training—0
MetaTune: Meta-Learning Based Cost Model for Fast and Efficient Auto-tuning Frameworks—0
Meta-tuning Loss Functions and Data Augmentation for Few-shot Object Detection—0
Meta-UDA: Unsupervised Domain Adaptive Thermal Object Detection using Meta-Learning—0
MetaVA: Curriculum Meta-learning and Pre-fine-tuning of Deep Neural Networks for Detecting Ventricular Arrhythmias based on ECGs—0
Meta Variance Transfer: Learning to Augment from the Others—0
Meta Variational Monte Carlo—0
METAVerse: Meta-Learning Traversability Cost Map for Off-Road Navigation—0
Meta-Voice: Fast few-shot style transfer for expressive voice cloning using meta learning—0
SMILE: Speech Meta In-Context Learning for Low-Resource Language Automatic Speech Recognition—0
Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction—0
MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning—0
MetaXCR: Reinforcement-Based Meta-Transfer Learning for Cross-Lingual Commonsense Reasoning—0
Meta-X_NLG: A Meta-Learning Approach Based on Language Clustering for Zero-Shot Cross-Lingual Transfer and Generation—0
Meta-ZSDETR: Zero-shot DETR with Meta-learning—0
Metric-based multimodal meta-learning for human movement identification via footstep recognition—0
MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classification—0
MICK: A Meta-Learning Framework for Few-shot Relation Classification with Small Training Data—0
Minimally Naturalistic Artificial Intelligence—0
Minimax and Neyman–Pearson Meta-Learning for Outlier Languages—0
Minimizing Memorization in Meta-learning: A Causal Perspective—0
Mining Recurrent Concepts in Data Streams using the Discrete Fourier Transform—0
Missing Modality meets Meta Sampling (M3S): An Efficient Universal Approach for Multimodal Sentiment Analysis with Missing Modality—0
Mitigating Spurious Correlations with Causal Logit Perturbation—0
RegMix: Data Mixing Augmentation for Regression—0
Mixture of Experts in Large Language Models—0
MLDGG: Meta-Learning for Domain Generalization on Graphs—0
ML-misfit: Learning a robust misfit function for full-waveform inversion using machine learning—0
MMformer with Adaptive Transferable Attention: Advancing Multivariate Time Series Forecasting for Environmental Applications—0
MM-FSOD: Meta and metric integrated few-shot object detection—0
MMTL: The Meta Multi-Task Learning for Aspect Category Sentiment Analysis—0
MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding—0
Modality-specific Distillation—0
Model-Agnostic Graph Regularization for Few-Shot Learning—0
Model-Agnostic Meta-Learning for EEG Motor Imagery Decoding in Brain-Computer-Interfacing—0
Model-Agnostic Meta-Learning for Fault Diagnosis of Induction Motors in Data-Scarce Environments with Varying Operating Conditions and Electric Drive Noise—0
Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection—0
Model-Agnostic Meta-Learning for Multimodal Task Distributions—0
Model-Agnostic Meta-Learning for Natural Language Understanding Tasks in Finance—0
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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