FAT: Training Neural Networks for Reliable Inference Under Hardware Faults

11 November 2020

Papers citing "FAT: Training Neural Networks for Reliable Inference Under Hardware Faults"

6 / 6 papers shown

Title
Mitigating multiple single-event upsets during deep neural network inference using fault-aware training Toon Vinck Naïn Jonckers Gert Dekkers Jeffrey Prinzie P. Karsmakers AAML AI4CE 112 0 0 13 Feb 2025
Enhancing Fault Resilience of QNNs by Selective Neuron Splitting Mohammad Hasan Ahmadilivani Mahdi Taheri J. Raik Masoud Daneshtalab M. Jenihhin AAML 29 9 0 16 Jun 2023
FAQ: Mitigating the Impact of Faults in the Weight Memory of DNN Accelerators through Fault-Aware Quantization Muhammad Abdullah Hanif Muhammad Shafique AAML 39 2 0 21 May 2023
A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks Mohammad Hasan Ahmadilivani Mahdi Taheri J. Raik Masoud Daneshtalab M. Jenihhin 45 27 0 09 May 2023
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 448 15,652 0 02 Nov 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,639 0 03 Jul 2012