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 3151–3175 of 3569 papers

TitleStatusHype
Effective Few-Shot Named Entity Linking by Meta-LearningCode0
Adaptive Prior Selection for Repertoire-based Online Adaptation in RoboticsCode0
Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot TasksCode0
Natural Language to Structured Query Generation via Meta-LearningCode0
Revisit Multimodal Meta-Learning through the Lens of Multi-Task LearningCode0
Imitation Learning from Suboptimal Demonstrations via Meta-Learning An Action RankerCode0
Reward Design for Reinforcement Learning AgentsCode0
Meta-Learners for Few-Shot Weakly-Supervised Medical Image SegmentationCode0
Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video RecommendationCode0
Rewarded meta-pruning: Meta Learning with Rewards for Channel PruningCode0
Towards Enabling Meta-Learning from Target ModelsCode0
Meta-Learning Acquisition Functions for Transfer Learning in Bayesian OptimizationCode0
Meta-Learning a Cross-lingual Manifold for Semantic ParsingCode0
Bootstrapped Meta-LearningCode0
An Efficient Memory Module for Graph Few-Shot Class-Incremental LearningCode0
Adaptive Posterior Learning: few-shot learning with a surprise-based memory moduleCode0
Neural Complexity MeasuresCode0
Imbalanced Regression Pipeline RecommendationCode0
Neural Context Flows for Meta-Learning of Dynamical SystemsCode0
Meta-learning algorithms for Few-Shot Computer VisionCode0
Meta-learning Amidst Heterogeneity and AmbiguityCode0
Meta-learning and Data Augmentation for Stress Testing Forecasting ModelsCode0
Dynamic Loss For Robust LearningCode0
Iceberg: Enhancing HLS Modeling with Synthetic DataCode0
Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learningCode0
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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