8 citations · 19 across the 9 of their papers we have counts for
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cs.LG2021★ 8 cited
Amazon SageMaker Model Parallelism: A General and Flexible Framework for Large Model Training
Can Karakus, Rahul Huilgol, Fei Wu +7
With deep learning models rapidly growing in size, systems-level solutions for large-model training are required. We present Amazon SageMaker model parallelism, a software library…
cs.LG2021
Robustness against Adversarial Attacks in Neural Networks using Incremental Dissipativity
Bernardo Aquino, Arash Rahnama, Peter Seiler +2
Adversarial examples can easily degrade the classification performance in neural networks. Empirical methods for promoting robustness to such examples have been proposed, but often…