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 32263250 of 3569 papers

TitleStatusHype
Sequential Scenario-Specific Meta Learner for Online RecommendationCode0
Team Fernando-Pessa at SemEval-2019 Task 4: Back to Basics in Hyperpartisan News Detection0
Learning to Transfer: Unsupervised Meta Domain TranslationCode0
Task Agnostic Meta-Learning for Few-Shot Learning0
Generalizable Person Re-Identification by Domain-Invariant Mapping Network0
Regression Networks for Meta-Learning Few-Shot ClassificationCode0
Meta Dropout: Learning to Perturb Features for GeneralizationCode1
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution TasksCode0
Meta-Learning Representations for Continual LearningCode0
Beyond Exponentially Discounted Sum: Automatic Learning of Return Function0
Discrete Infomax Codes for Supervised Representation Learning0
Learning Efficient and Effective Exploration Policies with Counterfactual Meta Policy0
Image Deformation Meta-Networks for One-Shot LearningCode0
Dataset2Vec: Learning Dataset Meta-FeaturesCode0
Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement LearningCode0
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence0
Unsupervised Intuitive Physics from Past Experiences0
ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol DetectionCode1
Personalizing Dialogue Agents via Meta-LearningCode0
Zero-shot task adaptation by homoiconic meta-mappingCode0
Meta-GNN: On Few-shot Node Classification in Graph Meta-learningCode0
A Neural-Symbolic Architecture for Inverse Graphics Improved by Lifelong Meta-LearningCode0
Evaluating recommender systems for AI-driven biomedical informaticsCode0
Recurring Concept Meta-learning for Evolving Data Streams0
Few-Shot Adversarial Learning of Realistic Neural Talking Head ModelsCode0
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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