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 51–100 of 3569 papers

TitleStatusHype
A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning for Any Atlas and DisorderCode1
CAMeL: Cross-modality Adaptive Meta-Learning for Text-based Person RetrievalCode1
Meta-Learning and Knowledge Discovery based Physics-Informed Neural Network for Remaining Useful Life PredictionCode1
A Physics-Informed Meta-Learning Framework for the Continuous Solution of Parametric PDEs on Arbitrary GeometriesCode1
PlatMetaX: An Integrated MATLAB platform for Meta-Black-Box OptimizationCode1
Reinforcement Learning-based Self-adaptive Differential Evolution through Automated Landscape Feature LearningCode1
BlackGoose Rimer: Harnessing RWKV-7 as a Simple yet Superior Replacement for Transformers in Large-Scale Time Series ModelingCode1
FSPO: Few-Shot Preference Optimization of Synthetic Preference Data in LLMs Elicits Effective Personalization to Real UsersCode1
Cross-domain Few-shot Object Detection with Multi-modal Textual EnrichmentCode1
MedFuncta: Modality-Agnostic Representations Based on Efficient Neural FieldsCode1
LoRA Recycle: Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAsCode1
EEG-Reptile: An Automatized Reptile-Based Meta-Learning Library for BCIsCode1
Personalized Dynamic Music Emotion Recognition with Dual-Scale Attention-Based Meta-LearningCode1
Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAsCode1
Task-Aware Harmony Multi-Task Decision Transformer for Offline Reinforcement LearningCode1
Amortized Probabilistic Conditioning for Optimization, Simulation and InferenceCode1
Metalic: Meta-Learning In-Context with Protein Language ModelsCode1
PersonalLLM: Tailoring LLMs to Individual PreferencesCode1
Can Learned Optimization Make Reinforcement Learning Less Difficult?Code1
Nonrigid Reconstruction of Freehand Ultrasound without a TrackerCode1
Towards Multimodal Open-Set Domain Generalization and Adaptation through Self-supervisionCode1
Pairwise Difference Learning for ClassificationCode1
Discovering Minimal Reinforcement Learning EnvironmentsCode1
Meta-Learning Loss Functions for Deep Neural NetworksCode1
Blind Super-Resolution via Meta-learning and Markov Chain Monte Carlo SimulationCode1
What Do Language Models Learn in Context? The Structured Task HypothesisCode1
GS-Phong: Meta-Learned 3D Gaussians for Relightable Novel View SynthesisCode1
Learning to Continually Learn with the Bayesian PrincipleCode1
HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement LearningCode1
Towards Foundation Model for Chemical Reactor Modeling: Meta-Learning with Physics-Informed AdaptationCode1
Adapting to Distribution Shift by Visual Domain Prompt GenerationCode1
Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the WildCode1
SOPHON: Non-Fine-Tunable Learning to Restrain Task Transferability For Pre-trained ModelsCode1
Efficient Automatic Tuning for Data-driven Model Predictive Control via Meta-LearningCode1
NTK-Guided Few-Shot Class Incremental LearningCode1
Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated ExpertsCode1
Harnessing Meta-Learning for Improving Full-Frame Video StabilizationCode1
On Latency Predictors for Neural Architecture SearchCode1
Fast and Efficient Local Search for Genetic Programming Based Loss Function LearningCode1
Diffusion-Based Neural Network Weights GenerationCode1
Reinforced In-Context Black-Box OptimizationCode1
Discovering Temporally-Aware Reinforcement Learning AlgorithmsCode1
Is Mamba Capable of In-Context Learning?Code1
Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation LearningCode1
A Survey of Few-Shot Learning on Graphs: from Meta-Learning to Pre-Training and Prompt LearningCode1
Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image Super-Resolution in Real WorldCode1
Positive-Unlabeled Learning by Latent Group-Aware Meta DisambiguationCode1
Selective-Memory Meta-Learning with Environment Representations for Sound Event Localization and DetectionCode1
Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype EnhancementCode1
Discovering modular solutions that generalize compositionallyCode1
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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