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cs.LG2018
Noisy Computations during Inference: Harmful or Helpful?
Minghai Qin, Dejan Vucinic
We study two aspects of noisy computations during inference. The first aspect is how to mitigate their side effects for naturally trained deep learning systems. One of the motivati…
cs.LG2018
Training Recurrent Neural Networks against Noisy Computations during Inference
Minghai Qin, Dejan Vucinic
We explore the robustness of recurrent neural networks when the computations within the network are noisy. One of the motivations for looking into this problem is to reduce the hig…