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Adaptive Task Sampling and Variance Reduction for Gradient-Based Meta-Learning.
Zhuoqun Liu
Yuankun Jiang
Chenglin Li
Wenrui Dai
Junni Zou
Hongkai Xiong
Published in:
BMVC (2022)
Keyphrases
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meta learning
variance reduction
sample size
model selection
monte carlo
learning tasks
inductive learning
importance sampling
machine learning algorithms
decision trees
confidence intervals
feature selection
machine learning
data mining
markov chain
data sets
base classifiers