Accelerating Deep Convolutional Networks using low-precision and sparsity

2 October 2016

Papers citing "Accelerating Deep Convolutional Networks using low-precision and sparsity"

9 / 9 papers shown

Title
TinyMLOps: Operational Challenges for Widespread Edge AI Adoption Sam Leroux Pieter Simoens Meelis Lootus Kartik Thakore Akshay Sharma 19 16 0 21 Mar 2022
LazyBatching: An SLA-aware Batching System for Cloud Machine Learning Inference Yujeong Choi Yunseong Kim Minsoo Rhu 16 66 0 25 Oct 2020
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning Shauharda Khadka Estelle Aflalo Mattias Marder Avrech Ben-David Santiago Miret Shie Mannor Tamir Hazan Hanlin Tang Somdeb Majumdar GNN 19 11 0 14 Jul 2020
Unrolling Ternary Neural Networks Stephen Tridgell M. Kumm M. Hardieck David Boland Duncan J. M. Moss P. Zipf Philip H. W. Leong 11 26 0 09 Sep 2019
Evolutionary Cell Aided Design for Neural Network Architectures Philip Colangelo Oren Segal Alexander Speicher M. Margala 6 3 0 06 Mar 2019
VIBNN: Hardware Acceleration of Bayesian Neural Networks R. Cai Ao Ren Ning Liu Caiwen Ding Luhao Wang Xuehai Qian Massoud Pedram Yanzhi Wang BDL 19 87 0 02 Feb 2018
BitNet: Bit-Regularized Deep Neural Networks Aswin Raghavan Mohamed R. Amer S. Chai Graham Taylor MQ 24 10 0 16 Aug 2017
Bayesian Compression for Deep Learning Christos Louizos Karen Ullrich Max Welling UQCV BDL 15 479 0 24 May 2017
Mixed Low-precision Deep Learning Inference using Dynamic Fixed Point Naveen Mellempudi Abhisek Kundu Dipankar Das Dheevatsa Mudigere Bharat Kaul MQ 21 30 0 31 Jan 2017