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12/10/2021
Layer-Parallel Training of Residual Networks with Auxiliary-Variable Networks
Gradient-based methods for the distributed training of residual networks...
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08/20/2021
Towards Understanding the Generative Capability of Adversarially Robust Classifiers
Recently, some works found an interesting phenomenon that adversarially ...
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09/03/2020
Penalty and Augmented Lagrangian Methods for Layer-parallel Training of Residual Networks
Algorithms for training residual networks (ResNets) typically require fo...
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07/01/2020
DPCP-p: A Distributed Locking Protocol for Parallel Real-Time Tasks
Real-time scheduling and locking protocols are fundamental facilities to...
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06/16/2020
New Interpretations of Normalization Methods in Deep Learning
In recent years, a variety of normalization methods have been proposed t...
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01/23/2020
Multi-objective Neural Architecture Search via Non-stationary Policy Gradient
Multi-objective Neural Architecture Search (NAS) aims to discover novel ...
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09/03/2019