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 26262650 of 3569 papers

TitleStatusHype
Attribute Propagation Network for Graph Zero-shot Learning0
Unfairness Discovery and Prevention For Few-Shot Regression0
Fair Meta-Learning For Few-Shot Classification0
Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time0
Automating Outlier Detection via Meta-LearningCode1
Adaptive Meta-Learning for Identification of Rover-Terrain DynamicsCode0
Feed-Forward On-Edge Fine-tuning Using Static Synthetic Gradient Modules0
Learning Soft Labels via Meta Learning0
Hidden Incentives for Auto-Induced Distributional Shift0
Few-Shot Unsupervised Continual Learning through Meta-ExamplesCode1
Self-Supervised Meta-Learning for Few-Shot Natural Language Classification TasksCode1
GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning0
Using Sensory Time-cue to enable Unsupervised Multimodal Meta-learning0
An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version)0
Efficient Quantum State Sample Tomography with Basis-dependent Neural-networks0
SML: Semantic Meta-learning for Few-shot Semantic Segmentation0
Teaching to Learn: Sequential Teaching of Agents with Inner States0
Few-shot Learning with LSSVM Base Learner and Transductive ModulesCode1
Meta Learning for Few-Shot One-class ClassificationCode1
Transfer Graph Neural Networks for Pandemic ForecastingCode1
A Markov Decision Process Approach to Active Meta Learning0
Meta-Learning with Sparse Experience Replay for Lifelong Language LearningCode1
Prototype Completion with Primitive Knowledge for Few-Shot LearningCode1
Meta-learning based Alternating Minimization Algorithm for Non-convex OptimizationCode0
Proxy Network for Few Shot LearningCode0
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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