Antoine Labatie

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 5

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Standard Deviation

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Publications

Dominic Masters, Antoine Labatie, Zach Eaton-Rosen, Carlo Luschi
Making EfficientNet More Efficient: Exploring Batch-Independent Normalization, Group Convolutions and Reduced Resolution Training. CoRR (2021)
Antoine Labatie, Dominic Masters, Zach Eaton-Rosen, Carlo Luschi
Proxy-Normalizing Activations to Match Batch Normalization while Removing Batch Dependence. CoRR (2021)
Antoine Labatie, Dominic Masters, Zach Eaton-Rosen, Carlo Luschi
Proxy-Normalizing Activations to Match Batch Normalization while Removing Batch Dependence. NeurIPS (2021)
Antoine Labatie
Characterizing Well-Behaved vs. Pathological Deep Neural Networks. ICML (2019)
Antoine Labatie
Characterizing Well-behaved vs. Pathological Deep Neural Network Architectures. CoRR (2018)