Tag: meta learning
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Automatic Sample Selection for Improved Few-Shot Learning
Discover how automatic combination of sample selection strategies boosts few-shot learning performance across diverse datasets and models.
MAML-KT: Solving Cold Start in Knowledge Tracing
MAML-KT uses few-shot meta-learning to improve early accuracy in knowledge tracing for new students facing the cold start problem.
GeM-EA: Advanced Evolutionary Algorithm for Streaming Optimization
Discover GeM-EA, a generative and meta-learning enhanced evolutionary algorithm that adapts rapidly to streaming data-driven optimization challenges.
Meta Learning for Black-Box Optimization with Small Data
Discover how meta learning with synthetic tasks improves black-box optimization from small offline datasets, boosting accuracy and performance.