Compressing Recurrent Neural Networks Using Hierarchical Tucker Tensor Decomposition

9 May 2020

Papers citing "Compressing Recurrent Neural Networks Using Hierarchical Tucker Tensor Decomposition"

4 / 4 papers shown

Title
Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition Tobias Weber Jakob Dexl David Rügamer Michael Ingrisch MedIm 32 2 0 15 Apr 2024
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks Jinqi Xiao Chengming Zhang Yu Gong Miao Yin Yang Sui Lizhi Xiang Dingwen Tao Bo Yuan 16 19 0 20 Jan 2023
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
3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low BitwidthQuantization, and Ultra-Low Latency Acceleration Yao Chen Cole Hawkins Kaiqi Zhang Zheng-Wei Zhang Cong Hao 11 8 0 11 May 2021