CascadeCNN: Pushing the performance limits of quantisation

22 May 2018

Papers citing "CascadeCNN: Pushing the performance limits of quantisation"

7 / 7 papers shown

Title
Cascaded Classifier for Pareto-Optimal Accuracy-Cost Trade-Off Using off-the-Shelf ANNs Cecilia Latotzke Johnson Loh T. Gemmeke 19 0 0 27 Oct 2021
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device Mario Almeida Stefanos Laskaridis Stylianos I. Venieris Ilias Leontiadis Nicholas D. Lane 17 36 0 20 Apr 2021
SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud Stefanos Laskaridis Stylianos I. Venieris Mario Almeida Ilias Leontiadis Nicholas D. Lane 28 265 0 14 Aug 2020
HAPI: Hardware-Aware Progressive Inference Stefanos Laskaridis Stylianos I. Venieris Hyeji Kim Nicholas D. Lane 14 45 0 10 Aug 2020
Multi-Precision Policy Enforced Training (MuPPET): A precision-switching strategy for quantised fixed-point training of CNNs A. Rajagopal D. A. Vink Stylianos I. Venieris C. Bouganis MQ 16 14 0 16 Jun 2020
Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars Alexandros Kouris Stylianos I. Venieris Michail Rizakis C. Bouganis AI4TS 14 12 0 02 May 2019
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 319 1,049 0 10 Feb 2017