target dataset
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Feature Selection in the Contrastive Analysis Setting
As such, it is often desired to select a small number of informative features to consider in subsequent analyses.
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Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach
Fairness in machine learning has attracted increasing attention in recent years.
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MGDD: A Meta Generator for Fast Dataset Distillation
The meta generator is termed as MGDD in our approach. Once adapted, it can handle arbitrary sizes of synthetic datasets, even for those unseen during adaptation.
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8e2571d13f432b301d4c5e3cc70227a6-Paper-Conference.pdf
MolGroup achieves this by utilizing a routing mechanismoptimized through abi-level optimization framework.
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One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers
Ari Morcos, Haonan Yu, Michela Paganini, Yuandong Tian
Neural Information Processing Systems http://nips.cc/
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