Optimization of Layer Skipping and Frequency Scaling for Convolutional Neural Networks under Latency Constraint

31 March 2025

Papers citing "Optimization of Layer Skipping and Frequency Scaling for Convolutional Neural Networks under Latency Constraint"

9 / 9 papers shown

Title
Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiences Fred Hohman Mary Beth Kery Donghao Ren Dominik Moritz 60 17 0 06 Oct 2023
Online V2X Scheduling for Raw-Level Cooperative Perception Yukuan Jia Ruiqing Mao Yuxuan Sun Sheng Zhou Z. Niu 41 8 0 12 Feb 2022
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges Yoshitomo Matsubara Marco Levorato Francesco Restuccia 56 205 0 08 Mar 2021
Dynamic Neural Networks: A Survey Yizeng Han Gao Huang Shiji Song Le Yang Honghui Wang Yulin Wang 3DH AI4TS AI4CE 75 645 0 09 Feb 2021
SkipNet: Learning Dynamic Routing in Convolutional Networks Xin Wang Feng Yu Zi-Yi Dou Trevor Darrell Joseph E. Gonzalez 66 633 0 26 Nov 2017
Training Quantized Nets: A Deeper Understanding Hao Li Soham De Zheng Xu Christoph Studer H. Samet Tom Goldstein MQ 50 210 0 07 Jun 2017
Pruning Filters for Efficient ConvNets Hao Li Asim Kadav Igor Durdanovic H. Samet H. Graf 3DPC 186 3,692 0 31 Aug 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.8K 193,426 0 10 Dec 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 227 8,821 0 01 Oct 2015