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 13011325 of 3569 papers

TitleStatusHype
Meta-learning Based Short-Term Passenger Flow Prediction for Newly-Operated Urban Rail Transit Stations0
Improving the Reliability for Confidence Estimation0
Multi-Task Meta Learning: learn how to adapt to unseen tasksCode0
Few-Shot Visual Question Generation: A Novel Task and Benchmark Datasets0
Few-shot Relational Reasoning via Connection Subgraph PretrainingCode1
Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness0
The Devil is in the Details: On Models and Training Regimes for Few-Shot Intent Classification0
A Unified Framework with Meta-dropout for Few-shot Learning0
Stock Trading Volume Prediction with Dual-Process Meta-LearningCode1
Discovered Policy OptimisationCode3
TGDM: Target Guided Dynamic Mixup for Cross-Domain Few-Shot LearningCode0
Meta-Learning with Self-Improving Momentum TargetCode1
CD-FSOD: A Benchmark for Cross-domain Few-shot Object DetectionCode1
Multi-Modal Fusion by Meta-InitializationCode0
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-ExpertsCode1
DIMES: A Differentiable Meta Solver for Combinatorial Optimization ProblemsCode1
Missing Modality meets Meta Sampling (M3S): An Efficient Universal Approach for Multimodal Sentiment Analysis with Missing Modality0
Learning to Learn and Sample BRDFsCode1
Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components0
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps0
Digital Twin-Empowered Network Planning for Multi-Tier Computing0
Hypernetwork approach to Bayesian MAMLCode1
Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-LearningCode0
Few-Shot Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal PredictionCode0
Meta-Ensemble Parameter Learning0
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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