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cs.LG2022
Towards Hardware-Specific Automatic Compression of Neural Networks
Torben Krieger, Bernhard Klein, Holger Fröning
Compressing neural network architectures is important to allow the deployment of models to embedded or mobile devices, and pruning and quantization are the major approaches to comp…
cs.LG2022
Walking Noise: On Layer-Specific Robustness of Neural Architectures against Noisy Computations and Associated Characteristic Learning Dynamics
Hendrik Borras, Bernhard Klein, Holger Fröning
Deep neural networks are extremely successful in various applications, however they exhibit high computational demands and energy consumption. This is exacerbated by stuttering tec…