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 28012850 of 3569 papers

TitleStatusHype
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and ArchitecturesCode1
Meta-Learning GNN Initializations for Low-Resource Molecular Property Prediction0
Taming the Herd: Multi-Modal Meta-Learning with a Population of Agents0
Meta-Learning for Recalibration of EMG-Based Upper Limb Prostheses0
Attentive Feature Reuse for Multi Task Meta learning0
BI-MAML: Balanced Incremental Approach for Meta Learning0
Learning-to-Learn Personalised Human Activity Recognition Models0
Backdoor Attacks on Federated Meta-Learning0
Task-similarity Aware Meta-learning through Nonparametric Kernel Regression0
Personalized Image Aesthetics Assessment via Meta-Learning With Bilevel Gradient OptimizationCode1
Learning to Learn Kernels with Variational Random FeaturesCode0
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link PredictionCode1
MC-BERT: Efficient Language Pre-Training via a Meta ControllerCode1
Learning to Stop While Learning to PredictCode1
Meta-Learning Bandit Policies by Gradient Ascent0
Multi-step Estimation for Gradient-based Meta-learning0
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton0
UFO-BLO: Unbiased First-Order Bilevel Optimization0
Brain-inspired global-local learning incorporated with neuromorphic computing0
Meta-Model-Based Meta-Policy Optimization0
Meta Dialogue Policy Learning0
Meta Learning as Bayes Risk Minimization0
Interpretable Meta-Measure for Model PerformanceCode0
Attentive Weights Generation for Few Shot Learning via Information MaximizationCode1
Training Noise-Robust Deep Neural Networks via Meta-LearningCode1
Online Depth Learning Against Forgetting in Monocular Videos0
Learning to Optimize on SPD Manifolds0
Deep Metric Learning via Adaptive Learnable Assessment0
Learning to Learn Cropping Models for Different Aspect Ratio RequirementsCode0
Adaptive Subspaces for Few-Shot LearningCode1
When Does MAML Objective Have Benign Landscape?0
MetaInv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction0
High-order structure preserving graph neural network for few-shot learningCode0
Boosting Few-Shot Learning With Adaptive Margin Loss0
Algorithm Selection Framework for Cyber Attack Detection0
Looking back to lower-level information in few-shot learning0
Few-Shot Open-Set Recognition using Meta-LearningCode1
How to Retrain Recommender System? A Sequential Meta-Learning MethodCode1
Towards intervention-centric causal reasoning in learning agents0
Meta-Reinforcement Learning for Trajectory Design in Wireless UAV Networks0
When does MAML Work the Best? An Empirical Study on Model-Agnostic Meta-Learning in NLP Applications0
Adaptive Reinforcement Learning through Evolving Self-Modifying Neural Networks0
A Concise Review of Recent Few-shot Meta-learning Methods0
Cross-Domain Few-Shot Learning with Meta Fine-Tuning0
Multitask Learning with Single Gradient Step Update for Task Balancing0
A Novel Meta Learning Framework for Feature Selection using Data Synthesis and Fuzzy Similarity0
An Analysis of the Adaptation Speed of Causal ModelsCode1
Meta-learning with Stochastic Linear Bandits0
Self-Supervised Deep Visual Odometry with Online Adaptation0
Dynamic Memory Induction Networks for Few-Shot Text Classification0
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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