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 15261550 of 3569 papers

TitleStatusHype
Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networksCode0
HyperMAML: Few-Shot Adaptation of Deep Models with HypernetworksCode1
Online Meta-Learning in Adversarial Multi-Armed Bandits0
Automatic Short Math Answer Grading via In-context Meta-learningCode0
MetaSSD: Meta-Learned Self-Supervised DetectionCode1
Meta Representation Learning with Contextual Linear Bandits0
GraMeR: Graph Meta Reinforcement Learning for Multi-Objective Influence Maximization0
Comparison of meta-learners for estimating multi-valued treatment heterogeneous effectsCode0
Deep Learning with Label Noise: A Hierarchical Approach0
Meta-Learning Adversarial Bandits0
Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge TransferCode1
Towards Learning Universal Hyperparameter Optimizers with TransformersCode2
DevFormer: A Symmetric Transformer for Context-Aware Device PlacementCode2
Learning a Better Initialization for Soft Prompts via Meta-Learning0
Know Where You're Going: Meta-Learning for Parameter-Efficient Fine-Tuning0
Low Resource Style Transfer via Domain Adaptive Meta Learning0
Convolutional Neural Processes for Inpainting Satellite Images0
Semi-Parametric Inducing Point Networks and Neural ProcessesCode0
Formulating Few-shot Fine-tuning Towards Language Model Pre-training: A Pilot Study on Named Entity RecognitionCode0
Using Natural Language and Program Abstractions to Instill Human Inductive Biases in MachinesCode0
Meta-Learning Regrasping Strategies for Physical-Agnostic Objects0
Should Models Be Accurate?0
Adaptive Fairness-Aware Online Meta-Learning for Changing Environments0
FIND:Explainable Framework for Meta-learning0
Set-based Meta-Interpolation for Few-Task Meta-Learning0
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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