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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3251–3300 of 3569 papers

TitleStatusHype
Sequential Scenario-Specific Meta Learner for Online RecommendationCode0
DiCE: The Infinitely Differentiable Monte Carlo EstimatorCode0
An Investigation of Few-Shot Learning in Spoken Term ClassificationCode0
Truncated Back-propagation for Bilevel OptimizationCode0
One-shot skill assessment in high-stakes domains with limited data via meta learningCode0
One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-LearningCode0
TSEML: A task-specific embedding-based method for few-shot classification of cancer molecular subtypesCode0
Towards Cross-Lingual Audio Abuse Detection in Low-Resource Settings with Few-Shot LearningCode0
HIDRA: Head Initialization across Dynamic targets for Robust ArchitecturesCode0
One-Shot Neural Architecture Search via Compressive SensingCode0
Meta-learning For Few-Shot Time Series Crop Type Classification: A Benchmark On The EuroCropsML DatasetCode0
One-Shot Visual Imitation Learning via Meta-LearningCode0
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot LearningCode0
Targeted Data-driven Regularization for Out-of-Distribution GeneralizationCode0
Comparison of meta-learners for estimating multi-valued treatment heterogeneous effectsCode0
DiCE: The Infinitely Differentiable Monte-Carlo EstimatorCode0
Detecting Sockpuppetry on Wikipedia Using Meta-LearningCode0
Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage DatasetCode0
TART: Improved Few-shot Text Classification Using Task-Adaptive Reference TransformationCode0
Task2Vec: Task Embedding for Meta-LearningCode0
Designing Time-Series Models With Hypernetworks & Adversarial PortfoliosCode0
Delving into Sample Loss Curve to Embrace Noisy and Imbalanced DataCode0
Adaptive Meta-Learning for Identification of Rover-Terrain DynamicsCode0
Sample Weight Estimation Using Meta-Updates for Online Continual LearningCode0
Sampling Attacks on Meta Reinforcement Learning: A Minimax Formulation and Complexity AnalysisCode0
Task-Adaptive Meta-Learning Framework for Advancing Spatial GeneralizabilityCode0
Meta-learning based Alternating Minimization Algorithm for Non-convex OptimizationCode0
Artificial Inductive Bias for Synthetic Tabular Data Generation in Data-Scarce ScenariosCode0
Meta-Learning for Natural Language Understanding under Continual Learning FrameworkCode0
Deep Transfer Learning Based Downlink Channel Prediction for FDD Massive MIMO SystemsCode0
Are Structural Concepts Universal in Transformer Language Models? Towards Interpretable Cross-Lingual GeneralizationCode0
Scalable Adversarial Online Continual LearningCode0
Scalable Bayesian Meta-Learning through Generalized Implicit GradientsCode0
Meta-Learning for Online Update of Recommender SystemsCode0
Online Item Cold-Start Recommendation with Popularity-Aware Meta-LearningCode0
Online Learning of a Memory for Learning RatesCode0
Practical Transfer Learning for Bayesian OptimizationCode0
A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded SmoothnessCode0
Deep Task-Based Analog-to-Digital ConversionCode0
Amortised Inference in Bayesian Neural NetworksCode0
Meta-Learning for Resampling Recommendation SystemsCode0
Scalable Online Recurrent Learning Using Columnar Neural NetworksCode0
Scalable Semi-Modular Inference with Variational Meta-PosteriorsCode0
Hacking Task Confounder in Meta-LearningCode0
Guiding Policies with Language via Meta-LearningCode0
Meta-Learning for Simple Regret MinimizationCode0
Adaptive Meta-Learning-Based KKL Observer Design for Nonlinear Dynamical SystemsCode0
Two-stage Optimization for Machine Learning WorkflowCode0
Meta-Learning for Stochastic Gradient MCMCCode0
Meta-Learning for Symbolic Hyperparameter DefaultsCode0
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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