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 101125 of 3569 papers

TitleStatusHype
A picture of the space of typical learnable tasksCode1
CURI: A Benchmark for Productive Concept Learning Under UncertaintyCode1
CD-FSOD: A Benchmark for Cross-domain Few-shot Object DetectionCode1
ArtFID: Quantitative Evaluation of Neural Style TransferCode1
Adaptive-Control-Oriented Meta-Learning for Nonlinear SystemsCode1
Data-Efficient Brain Connectome Analysis via Multi-Task Meta-LearningCode1
Adaptive Multi-Teacher Knowledge Distillation with Meta-LearningCode1
Are Deep Neural Networks SMARTer than Second Graders?Code1
A Channel Coding Benchmark for Meta-LearningCode1
AReLU: Attention-based Rectified Linear UnitCode1
CAMeL: Cross-modality Adaptive Meta-Learning for Text-based Person RetrievalCode1
A Simple Approach to Case-Based Reasoning in Knowledge BasesCode1
Diffusion-Based Neural Network Weights GenerationCode1
DIMES: A Differentiable Meta Solver for Combinatorial Optimization ProblemsCode1
Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the WildCode1
A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning for Any Atlas and DisorderCode1
BOML: A Modularized Bilevel Optimization Library in Python for Meta LearningCode1
DisCor: Corrective Feedback in Reinforcement Learning via Distribution CorrectionCode1
Attention Guided Cosine Margin For Overcoming Class-Imbalance in Few-Shot Road Object DetectionCode1
Discovering modular solutions that generalize compositionallyCode1
Attentional-Biased Stochastic Gradient DescentCode1
Adaptive Subspaces for Few-Shot LearningCode1
A contrastive rule for meta-learningCode1
Adaptive Transfer Learning on Graph Neural NetworksCode1
BOME! Bilevel Optimization Made Easy: A Simple First-Order ApproachCode1
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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