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 31513175 of 3569 papers

TitleStatusHype
A Meta-Learning Framework for Generalized Zero-Shot LearningCode0
Meta-Learning with Implicit GradientsCode1
Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification0
Meta-learnt priors slow down catastrophic forgetting in neural networksCode0
Learning to Sample: an Active Learning Framework0
Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit FeedbackCode0
AutoML for Contextual Bandits0
Efficient Automatic Meta Optimization Search for Few-Shot Learning0
Meta Learning with Relational Information for Short SequencesCode0
Meta-Learning with Warped Gradient DescentCode0
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot RelationsCode1
TGG: Transferable Graph Generation for Zero-shot and Few-shot LearningCode0
Exploring Domain Shift in Extractive Text Summarization0
Deep Learning Theory Review: An Optimal Control and Dynamical Systems PerspectiveCode0
Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks0
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms0
MetaMixUp: Learning Adaptive Interpolation Policy of MixUp with Meta-Learning0
An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises0
Fairness Warnings and Fair-MAML: Learning Fairly with Minimal DataCode0
Learning to Demodulate from Few Pilots via Offline and Online Meta-LearningCode0
Time series model selection with a meta-learning approach; evidence from a pool of forecasting algorithms0
When Low Resource NLP Meets Unsupervised Language Model: Meta-pretraining Then Meta-learning for Few-shot Text ClassificationCode0
Few-shot Text Classification with Distributional SignaturesCode1
Few-Shot Learning with Global Class RepresentationsCode0
Meta Reasoning over Knowledge Graphs0
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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