Deep Neural Network Compression with Single and Multiple Level
Quantization

Deep Neural Network Compression with Single and Multiple Level Quantization

6 March 2018

Yongzhuang Wang

Papers citing "Deep Neural Network Compression with Single and Multiple Level Quantization"

10 / 10 papers shown

Title
On GNN explanability with activation rules Luca Veyrin-Forrer Ataollah Kamal Stefan Duffner Marc Plantevit C. Robardet AI4CE 21 2 0 17 Jun 2024
Automated Heterogeneous Low-Bit Quantization of Multi-Model Deep Learning Inference Pipeline Jayeeta Mondal Swarnava Dey Arijit Mukherjee MQ 13 1 0 10 Nov 2023
On Model Compression for Neural Networks: Framework, Algorithm, and Convergence Guarantee Chenyang Li Jihoon Chung Mengnan Du Haimin Wang Xianlian Zhou Bohao Shen 33 1 0 13 Mar 2023
LAB: Learnable Activation Binarizer for Binary Neural Networks Sieger Falkena Hadi Jamali Rad J. C. V. Gemert MQ 24 3 0 25 Oct 2022
Croesus: Multi-Stage Processing and Transactions for Video-Analytics in Edge-Cloud Systems Samaa Gazzaz Vishal Chakraborty Faisal Nawab 20 10 0 31 Dec 2021
Low-rank Tensor Decomposition for Compression of Convolutional Neural Networks Using Funnel Regularization Bo-Shiuan Chu Che-Rung Lee 13 11 0 07 Dec 2021
CHIP: CHannel Independence-based Pruning for Compact Neural Networks Yang Sui Miao Yin Yi Xie Huy Phan S. Zonouz Bo Yuan VLM 14 127 0 26 Oct 2021
Learnable Companding Quantization for Accurate Low-bit Neural Networks Kohei Yamamoto MQ 20 63 0 12 Mar 2021
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks Ruihao Gong Xianglong Liu Shenghu Jiang Tian-Hao Li Peng Hu Jiazhen Lin F. Yu Junjie Yan MQ 19 445 0 14 Aug 2019
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 311 1,047 0 10 Feb 2017