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Found 3 papers, 1 papers with code
GABO: Graph Augmentations with Bi-level Optimization
Data augmentation refers to a wide range of techniques for improving model generalization by augmenting training examples.
Continuous Weight Balancing
We propose a simple method by which to choose sample weights for problems with highly imbalanced or skewed traits.
Binarized Neural Networks for Resource-Constrained On-Device Gait Identification
User authentication through gait analysis is a promising application of discriminative neural networks -- particularly due to the ubiquity of the primary sources of gait accelerometry, in-pocket cellphones.
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