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Found 3 papers, 1 papers with code
Proxy-Normalizing Activations to Match Batch Normalization while Removing Batch Dependence
We investigate the reasons for the performance degradation incurred with batch-independent normalization.
Making EfficientNet More Efficient: Exploring Batch-Independent Normalization, Group Convolutions and Reduced Resolution Training
Much recent research has been dedicated to improving the efficiency of training and inference for image classification.
Characterizing Well-Behaved vs. Pathological Deep Neural Networks
We introduce a novel approach, requiring only mild assumptions, for the characterization of deep neural networks at initialization.
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