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 876900 of 3569 papers

TitleStatusHype
Delving into Sample Loss Curve to Embrace Noisy and Imbalanced DataCode0
Learning to Customize Model Structures for Few-shot Dialogue Generation TasksCode0
Learning to adapt: a meta-learning approach for speaker adaptationCode0
Meta Architecture SearchCode0
Meta-Learning Acquisition Functions for Transfer Learning in Bayesian OptimizationCode0
A Closer Look at the Training Strategy for Modern Meta-LearningCode0
Bayesian Meta Sampling for Fast Uncertainty AdaptationCode0
AugFL: Augmenting Federated Learning with Pretrained ModelsCode0
Effective Structured Prompting by Meta-Learning and Representative VerbalizerCode0
Deep Transfer Learning Based Downlink Channel Prediction for FDD Massive MIMO SystemsCode0
Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learningCode0
Deep Task-Based Analog-to-Digital ConversionCode0
Adaptive Fine-Grained Sketch-Based Image RetrievalCode0
Learning One-Shot Imitation from Humans without HumansCode0
Learning Task-Aware Energy Disaggregation: a Federated ApproachCode0
Learning to Defer to a Population: A Meta-Learning ApproachCode0
Learning to learn by gradient descent by gradient descentCode0
Meta-Learning Bidirectional Update RulesCode0
Learning Invariances for Policy GeneralizationCode0
Algorithm Selection on a Meta LevelCode0
Learning Low-Dimensional Embeddings for Black-Box OptimizationCode0
Learning How to Demodulate from Few Pilots via Meta-LearningCode0
Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal PredictionCode0
Adaptive Posterior Learning: few-shot learning with a surprise-based memory moduleCode0
Learning Generalized Zero-Shot Learners for Open-Domain Image GeolocalizationCode0
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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