Accelerator-Aware Pruning for Convolutional Neural Networks

26 April 2018

Papers citing "Accelerator-Aware Pruning for Convolutional Neural Networks"

5 / 5 papers shown

Title
Effective Interplay between Sparsity and Quantization: From Theory to Practice Simla Burcu Harma Ayan Chakraborty Elizaveta Kostenok Danila Mishin Dongho Ha ... Martin Jaggi Ming Liu Yunho Oh Suvinay Subramanian Amir Yazdanbakhsh MQ 44 5 0 31 May 2024
Accelerator-Aware Training for Transducer-Based Speech Recognition Suhaila M. Shakiah R. Swaminathan Hieu Duy Nguyen Raviteja Chinta Tariq Afzal Nathan Susanj Athanasios Mouchtaris Grant P. Strimel Ariya Rastrow 19 1 0 12 May 2023
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning Mohammad Hossein Samavatian Saikat Majumdar Kristin Barber R. Teodorescu AAML 14 2 0 31 Jul 2022
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights Shail Dave Riyadh Baghdadi Tony Nowatzki Sasikanth Avancha Aviral Shrivastava Baoxin Li 46 81 0 02 Jul 2020
SASL: Saliency-Adaptive Sparsity Learning for Neural Network Acceleration Jun Shi Jianfeng Xu K. Tasaka Zhibo Chen 4 25 0 12 Mar 2020