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 301350 of 3569 papers

TitleStatusHype
Dynamic Relevance Learning for Few-Shot Object DetectionCode1
ARCADe: A Rapid Continual Anomaly DetectorCode1
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-LearningCode1
Adapting to Distribution Shift by Visual Domain Prompt GenerationCode1
Efficient Automatic Tuning for Data-driven Model Predictive Control via Meta-LearningCode1
Efficient Domain Generalization via Common-Specific Low-Rank DecompositionCode1
Are Deep Neural Networks SMARTer than Second Graders?Code1
End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-LearningCode1
Evading Forensic Classifiers with Attribute-Conditioned Adversarial FacesCode1
AReLU: Attention-based Rectified Linear UnitCode1
Context-Aware Meta-LearningCode1
Exploiting Shared Representations for Personalized Federated LearningCode1
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot LearningCode1
Exploring Effective Factors for Improving Visual In-Context LearningCode1
A General Descent Aggregation Framework for Gradient-based Bi-level OptimizationCode1
ArtFID: Quantitative Evaluation of Neural Style TransferCode1
Fast and Efficient Local Search for Genetic Programming Based Loss Function LearningCode1
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive ProcessesCode1
Contrastive Meta Learning with Behavior Multiplicity for RecommendationCode1
Automated Machine Learning Techniques for Data StreamsCode1
Few-Shot Class-Incremental Learning by Sampling Multi-Phase TasksCode1
Few Shot Dialogue State Tracking using Meta-learningCode1
Auto-Lambda: Disentangling Dynamic Task RelationshipsCode1
Few-shot Decoding of Brain Activation MapsCode1
A Simple Approach to Case-Based Reasoning in Knowledge BasesCode1
Few-Shot Learning with a Strong TeacherCode1
Few-Shot Named Entity Recognition: A Comprehensive StudyCode1
Few-shot Network Anomaly Detection via Cross-network Meta-learningCode1
Few-shot Object Detection via Feature ReweightingCode1
Few-Shot Object Detection via Variational Feature AggregationCode1
Few-shot Relational Reasoning via Connection Subgraph PretrainingCode1
Few-shot Relation Extraction via Bayesian Meta-learning on Relation GraphsCode1
Few-Shot Scene Adaptive Crowd Counting Using Meta-LearningCode1
Few-Shot Semantic Parsing for New PredicatesCode1
A Channel Coding Benchmark for Meta-LearningCode1
Concept Learners for Few-Shot LearningCode1
First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-OffsCode1
An Accurate and Fully-Automated Ensemble Model for Weekly Time Series ForecastingCode1
A Structured Dictionary Perspective on Implicit Neural RepresentationsCode1
Adaptive-Control-Oriented Meta-Learning for Nonlinear SystemsCode1
Concrete Subspace Learning based Interference Elimination for Multi-task Model FusionCode1
From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication SystemsCode1
A Broader Study of Cross-Domain Few-Shot LearningCode1
Fuzzy Graph Neural Network for Few-Shot LearningCode1
Generalizable Black-Box Adversarial Attack with Meta LearningCode1
Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain GeneralizationCode1
AirDet: Few-Shot Detection without Fine-tuning for Autonomous ExplorationCode1
CD-FSOD: A Benchmark for Cross-domain Few-shot Object DetectionCode1
Generative Meta-Learning Robust Quality-Diversity PortfolioCode1
Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the WildCode1
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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