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Found 4 papers, 1 papers with code
Fault Injectors for TensorFlow: Evaluation of the Impact of Random Hardware Faults on Deep CNNs
The results demonstrate how random bit flips in the output of particular mathematical operations and layers of NNs affect the classification accuracy.
SELD-TCN: Sound Event Localization & Detection via Temporal Convolutional Networks
The understanding of the surrounding environment plays a critical role in autonomous robotic systems, such as self-driving cars.
Automated design of error-resilient and hardware-efficient deep neural networks
It is thus desirable to exploit optimization potential for error resilience and efficiency also at the algorithmic side, e. g., by optimizing the architecture of the DNN.
Efficient Stochastic Inference of Bitwise Deep Neural Networks
Recently published methods enable training of bitwise neural networks which allow reduced representation of down to a single bit per weight.
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