5 citations · 11 across the 10 of their papers we have counts for
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cs.LG2021★ 5 cited
Adaptive Precision Training (AdaPT): A dynamic fixed point quantized training approach for DNNs
Lorenz Kummer, Kevin Sidak, Tabea Reichmann +1
Quantization is a technique for reducing deep neural networks (DNNs) training and inference times, which is crucial for training in resource constrained environments or application…
cs.LG2021
Dynamic Neural Network Architectural and Topological Adaptation and Related Methods -- A Survey
Lorenz Kummer
Training and inference in deep neural networks (DNNs) has, due to a steady increase in architectural complexity and data set size, lead to the development of strategies for reducin…