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 14261450 of 3569 papers

TitleStatusHype
Meta-Interpolation: Time-Arbitrary Frame Interpolation via Dual Meta-Learning0
INTERACT: Achieving Low Sample and Communication Complexities in Decentralized Bilevel Learning over Networks0
PointFix: Learning to Fix Domain Bias for Robust Online Stereo AdaptationCode0
Adaptive Asynchronous Control Using Meta-learned Neural Ordinary Differential Equations0
Localization of Coordinated Cyber-Physical Attacks in Power Grids Using Moving Target Defense and Deep Learning0
ArtFID: Quantitative Evaluation of Neural Style TransferCode1
Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification0
Can we achieve robustness from data alone?0
Meta Spatio-Temporal Debiasing for Video Scene Graph Generation0
Meta-Registration: Learning Test-Time Optimization for Single-Pair Image Registration0
MetaComp: Learning to Adapt for Online Depth Completion0
Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning ApproachCode1
Tackling Long-Tailed Category Distribution Under Domain ShiftsCode1
Adaptive Mixture of Experts Learning for Generalizable Face Anti-Spoofing0
Test-Time Adaptation via Conjugate Pseudo-labelsCode1
Riemannian Stochastic Gradient Method for Nested Composition Optimization0
On the cross-lingual transferability of multilingual prototypical models across NLU tasks0
Learning Knowledge Representation with Meta Knowledge Distillation for Single Image Super-Resolution0
Multi-Task and Transfer Learning for Federated Learning Applications0
Meta-Referential Games to Learn Compositional Learning BehavioursCode0
A Meta-learning Formulation of the Autoencoder Problem for Non-linear Dimensionality Reduction0
problexity -- an open-source Python library for binary classification problem complexity assessment0
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot LearningCode0
Learning Deep Time-index Models for Time Series ForecastingCode2
MetaAge: Meta-Learning Personalized Age EstimatorsCode0
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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