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 1001–1050 of 3569 papers

TitleStatusHype
Convergence-aware Clustered Federated Graph Learning Framework for Collaborative Inter-company Labor Market Forecasting—0
Meta-RTL: Reinforcement-Based Meta-Transfer Learning for Low-Resource Commonsense Reasoning—0
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification—0
Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain SchedulerCode0
EvoFA: Evolvable Fast Adaptation for EEG Emotion Recognition—0
Hierarchical end-to-end autonomous navigation through few-shot waypoint detection—0
From Text to Treatment Effects: A Meta-Learning Approach to Handling Text-Based Confounding—0
ReFine: Boosting Time Series Prediction of Extreme Events by Reweighting and Fine-tuningCode0
Learning to Generalize Unseen Domains via Multi-Source Meta Learning for Text Classification—0
Geometry Aware Meta-Learning Neural Network for Joint Phase and Precoder Optimization in RIS—0
Learning a Terrain- and Robot-Aware Dynamics Model for Autonomous Mobile Robot Navigation—0
SMILE: Speech Meta In-Context Learning for Low-Resource Language Automatic Speech Recognition—0
Online Nonconvex Bilevel Optimization with Bregman Divergences—0
AALF: Almost Always Linear ForecastingCode0
Context-Conditioned Spatio-Temporal Predictive Learning for Reliable V2V Channel Prediction—0
ADIOS: Antibody Development via Opponent ShapingCode0
Rethinking Meta-Learning from a Learning Lens—0
A Hybrid Meta-Learning and Multi-Armed Bandit Approach for Context-Specific Multi-Objective Recommendation Optimization—0
E-QUARTIC: Energy Efficient Edge Ensemble of Convolutional Neural Networks for Resource-Optimized LearningCode0
Virtual Node Generation for Node Classification in Sparsely-Labeled Graphs—0
Fast Medical Shape Reconstruction via Meta-learned Implicit Neural Representations—0
Few-Shot Learning: Expanding ID Cards Presentation Attack Detection to Unknown ID Countries—0
Spoofing-Aware Speaker Verification Robust Against Domain and Channel Mismatches—0
Adaptive Meta-Domain Transfer Learning (AMDTL): A Novel Approach for Knowledge Transfer in AICode0
Modified Meta-Thompson Sampling for Linear Bandits and Its Bayes Regret Analysis—0
Boosting CLIP Adaptation for Image Quality Assessment via Meta-Prompt Learning and Gradient Regularization—0
Complex Emotion Recognition System using basic emotions via Facial Expression, EEG, and ECG Signals: a review—0
Learning to Learn Transferable Generative Attack for Person Re-Identification—0
Learning vs Retrieval: The Role of In-Context Examples in Regression with LLMsCode0
WarpAdam: A new Adam optimizer based on Meta-Learning approach—0
A New First-Order Meta-Learning Algorithm with Convergence Guarantees—0
Transfer-based Adversarial Poisoning Attacks for Online (MIMO-)Deep Receviers—0
Boosting Generalizability towards Zero-Shot Cross-Dataset Single-Image Indoor Depth by Meta-Initialization—0
Few-shot Multi-Task Learning of Linear Invariant Features with Meta Subspace Pursuit—0
Real-Time Machine Learning Strategies for a New Kind of Neuroscience Experiments—0
Meta-Learning Empowered Graph Neural Networks for Radio Resource Management—0
LeMON: Learning to Learn Multi-Operator NetworksCode0
HyperSBINN: A Hypernetwork-Enhanced Systems Biology-Informed Neural Network for Efficient Drug Cardiosafety Assessment—0
Few-Shot Histopathology Image Classification: Evaluating State-of-the-Art Methods and Unveiling Performance Insights—0
Toward Improving Synthetic Audio Spoofing Detection Robustness via Meta-Learning and Disentangled Training With Adversarial Examples—0
Learning Unknowns from Unknowns: Diversified Negative Prototypes Generator for Few-Shot Open-Set RecognitionCode0
Dynamics of Meta-learning Representation in the Teacher-student Scenario—0
Stochastic Compositional Minimax Optimization with Provable Convergence Guarantees—0
Making Large Vision Language Models to be Good Few-shot Learners—0
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey—0
Meta-Learning in Audio and Speech Processing: An End to End Comprehensive Review—0
Meta-Learning on Augmented Gene Expression Profiles for Enhanced Lung Cancer DetectionCode0
Meta-Learning Empowered Meta-Face: Personalized Speaking Style Adaptation for Audio-Driven 3D Talking Face Animation—0
Learning to Explore for Stochastic Gradient MCMCCode0
Meta-Learning for Federated Face Recognition in Imbalanced Data Regimes—0
Show:102550
← PrevPage 21 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