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20182021
most citedConvergence of a Relaxed Variable Splitting Method for Learning Sparse Neural Networks via , and transformed- Penalties

5 citations · 10 across the 6 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

cs.CV2020

Subtensor Quantization for Mobilenets

Thu Dinh, Andrey Melnikov, Vasilios Daskalopoulos +1

Quantization for deep neural networks (DNN) have enabled developers to deploy models with less memory and more efficient low-power inference. However, not all DNN designs are frien…

cs.LG2020

Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets

Thu Dinh, Bao Wang, Andrea L. Bertozzi +1

Deep neural nets (DNNs) compression is crucial for adaptation to mobile devices. Though many successful algorithms exist to compress naturally trained DNNs, developing efficient an…