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 2951–3000 of 3569 papers

TitleStatusHype
A Sample Complexity Separation between Non-Convex and Convex Meta-Learning—0
Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning—0
KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification—0
The Sample Complexity of Meta Sparse Regression—0
Learning to Continually LearnCode1
Few-shot acoustic event detection via meta-learning—0
Structured Prediction for Conditional Meta-LearningCode0
Meta-learning for mixed linear regression—0
Curriculum in Gradient-Based Meta-Reinforcement Learning—0
Meta Segmentation Network for Ultra-Resolution Medical Images—0
Personalized Federated Learning: A Meta-Learning Approach—0
Theoretical Convergence of Multi-Step Model-Agnostic Meta-LearningCode0
Few-Shot Few-Shot Learning and the role of Spatial Attention—0
Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot TasksCode1
Meta-learning Extractors for Music Source SeparationCode1
Differentiable Bandit Exploration—0
Learning Adaptive Loss for Robust Learning with Noisy Labels—0
PACOH: Bayes-Optimal Meta-Learning with PAC-GuaranteesCode1
Task-Robust Model-Agnostic Meta-Learning—0
On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement LearningCode0
On Parameter Tuning in Meta-learning for Computer Vision—0
Towards Intelligent Pick and Place Assembly of Individualized Products Using Reinforcement Learning—0
Incremental Meta-Learning via Indirect Discriminant Alignment—0
HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem—0
Meta-Learning across Meta-Tasks for Few-Shot Learning—0
Towards explainable meta-learning—0
Machine Learning Approaches For Motor Learning: A Short Review—0
Compositional ADAM: An Adaptive Compositional Solver—0
GradMix: Multi-source Transfer across Domains and Tasks—0
Local Nonparametric Meta-LearningCode0
Analyzing Policy Distillation on Multi-Task Learning and Meta-Reinforcement Learning in Meta-World—0
Task Augmentation by Rotating for Meta-LearningCode0
ML-misfit: Learning a robust misfit function for full-waveform inversion using machine learning—0
Meta-learning framework with applications to zero-shot time-series forecastingCode1
Geometric Dataset Distances via Optimal TransportCode1
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis—0
Revisiting Meta-Learning as Supervised Learning—0
Few-Shot Scene Adaptive Crowd Counting Using Meta-LearningCode1
Extreme Algorithm Selection With Dyadic Feature RepresentationCode0
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection—0
Optimized Generic Feature Learning for Few-shot Classification across Domains—0
Deep learning generates custom-made logistic regression models for explaining how breast cancer subtypes are classified—0
A meta-algorithm for classification using random recursive tree ensembles: A high energy physics application—0
Extracting more from boosted decision trees: A high energy physics case study—0
IoT Network Behavioral Fingerprint Inference with Limited Network Trace for Cyber Investigation: A Meta Learning Approach—0
Real-Time Edge Intelligence in the Making: A Collaborative Learning Framework via Federated Meta-Learning—0
Fast Adaptation to Super-Resolution Networks via Meta-LearningCode1
Self-Supervised Fast Adaptation for Denoising via Meta-Learning—0
Frosting Weights for Better Continual TrainingCode0
Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems—0
Show:102550
← PrevPage 60 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