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cs.LG2023
DNA-TEQ: An Adaptive Exponential Quantization of Tensors for DNN Inference
Bahareh Khabbazan, Marc Riera, Antonio González
Quantization is commonly used in Deep Neural Networks (DNNs) to reduce the storage and computational complexity by decreasing the arithmetical precision of activations and weights,…
cs.LG2019
(Pen-) Ultimate DNN Pruning
Marc Riera, Jose-Maria Arnau, Antonio Gonzalez
DNN pruning reduces memory footprint and computational work of DNN-based solutions to improve performance and energy-efficiency. An effective pruning scheme should be able to syste…