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

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Showing 2251–2300 of 3569 papers

TitleStatusHype
Across-Task Neural Architecture Search via Meta Learning—0
REIN-2: Giving Birth to Prepared Reinforcement Learning Agents Using Reinforcement Learning Agents—0
Homogeneous Learning: Self-Attention Decentralized Deep LearningCode0
A Closer Look at Prototype Classifier for Few-shot Image Classification—0
Learning to Learn End-to-End Goal-Oriented Dialog From Related Dialog Tasks—0
Reinforcement Learning In Two Player Zero Sum Simultaneous Action GamesCode0
SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification—0
Meta-Learning 3D Shape Segmentation Functions—0
3D Meta-Segmentation Neural Network—0
Meta-UDA: Unsupervised Domain Adaptive Thermal Object Detection using Meta-Learning—0
Darts: User-Friendly Modern Machine Learning for Time Series—0
A Meta-learning Approach to Reservoir Computing: Time Series Prediction with Limited Data—0
Online Hyperparameter Meta-Learning with Hypergradient Distillation—0
MetaPix: Domain Transfer for Semantic Segmentation by Meta Pixel WeightingCode0
Behaviour-conditioned policies for cooperative reinforcement learning tasks—0
Meta-Reinforcement Learning via Buffering Graph Signatures for Live Video Streaming EventsCode0
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset—0
Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear Filters and Equilibrium PropagationCode0
Terminal Adaptive Guidance for Autonomous Hypersonic Strike Weapons via Reinforcement Learning—0
Home Appliance Review Research Via Adversarial Reptile—0
MMTL: The Meta Multi-Task Learning for Aspect Category Sentiment Analysis—0
How Neural Processes Improve Graph Link PredictionCode0
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation—0
Unsupervised Meta-Learning via Latent Space Energy-based Model of Symbol Vector Coupling—0
Unraveling Model-Agnostic Meta-Learning via The Adaptation Learning Rate—0
Transferring Hierarchical Structure with Dual Meta Imitation Learning—0
Information-Aware Time Series Meta-Contrastive Learning—0
Closed-form Sample Probing for Learning Generative Models in Zero-shot LearningCode0
Clustered Task-Aware Meta-Learning by Learning from Learning PathsCode0
Meta Learning Low Rank Covariance Factors for Energy Based Deterministic Uncertainty—0
MetaHistoSeg: A Python Framework for Meta Learning in Histopathology Image Segmentation—0
ConFeSS: A Framework for Single Source Cross-Domain Few-Shot Learning—0
Meta Attention For Off-Policy Actor-Critic—0
ES-Based Jacobian Enables Faster Bilevel Optimization—0
Revealing the Incentive to Cause Distributional Shift—0
MDFL: A UNIFIED FRAMEWORK WITH META-DROPOUT FOR FEW-SHOT LEARNING—0
Contrastive Learning is Just Meta-Learning—0
Fast Adaptive Anomaly Detection—0
Task Relatedness-Based Generalization Bounds for Meta Learning—0
Loss meta-learning for forecasting—0
Loss Function Learning for Domain Generalization by Implicit Gradient—0
Meta Learning with Minimax Regularization—0
Minimizing Memorization in Meta-learning: A Causal Perspective—0
Gradient-based Meta-solving and Its Applications to Iterative Methods for Solving Differential Equations—0
Meta-OLE: Meta-learned Orthogonal Low-Rank Embedding—0
PDAML: A Pseudo Domain Adaptation Paradigm for Subject-independent EEG-based Emotion Recognition—0
Early-Stopping for Meta-Learning: Estimating Generalization from the Activation Dynamics—0
Dynamic Regret Analysis for Online Meta-Learning—0
Improving Meta-Continual Learning Representations with Representation ReplayCode0
Multi-Subspace Structured Meta-Learning—0
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All datasetsML10MT50ML45OMNIGLOT - 1-Shot, 20-way

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MZ+ReconMeta-train success rate97.8—Unverified
2MZMeta-train success rate97.6—Unverified
3MAMLMeta-test success rate36—Unverified
4RL^2Meta-test success rate10—Unverified
5DnCMeta-test success rate5.4—Unverified
6PEARLMeta-test success rate0—Unverified
#ModelMetricClaimedVerifiedStatus
1SoftModuleAverage Success Rate60—Unverified
2Multi-task multi-head SACAverage Success Rate35.85—Unverified
3DisCorAverage Success Rate26—Unverified
4NDPAverage Success Rate11—Unverified
#ModelMetricClaimedVerifiedStatus
1MZ+ReconMeta-test success rate (zero-shot)18.5—Unverified
2MZMeta-test success rate (zero-shot)17.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Metadrop% Test Accuracy95.75—Unverified