Constructing Fast Network through Deconstruction of Convolution

28 May 2018

Papers citing "Constructing Fast Network through Deconstruction of Convolution"

37 / 37 papers shown

Title
TS-SNN: Temporal Shift Module for Spiking Neural Networks Kairong Yu Tianqing Zhang Qi Xu Gang Pan Hongwei Wang 639 2 0 07 May 2025
BMRS: Bayesian Model Reduction for Structured Pruning Dustin Wright Christian Igel Raghavendra Selvan BDL MQ 162 2 0 03 Jun 2024
Lightweight Deep Learning for Resource-Constrained Environments: A Survey Hou-I Liu Marco Galindo Hongxia Xie Lai-Kuan Wong Hong-Han Shuai Yung-Hui Li Wen-Huang Cheng 170 94 0 08 Apr 2024
Learn to Code Sustainably: An Empirical Study on LLM-based Green Code Generation Tina Vartziotis Ippolyti Dellatolas George Dasoulas Maximilian Schmidt Florian Schneider Tim Hoffmann S. Kotsopoulos Michael Keckeisen 149 13 0 05 Mar 2024
Mixer is more than just a model Qingfeng Ji Yuxin Wang Letong Sun 96 0 0 28 Feb 2024
Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI Dustin Wright Christian Igel Gabrielle Samuel Raghavendra Selvan 175 20 0 05 Sep 2023
$Fully $1\times1$ Convolutional Network for Lightweight Image Super-Resolution$ Fully $1\times1$ Convolutional Network for Lightweight Image Super-Resolution Gang Wu Junjun Jiang Kui Jiang Xianming Liu SupR 83 18 0 30 Jul 2023
Efficient Online Processing with Deep Neural Networks Lukas Hedegaard 95 0 0 23 Jun 2023
Cheaply Evaluating Inference Efficiency Metrics for Autoregressive Transformer APIs Deepak Narayanan Keshav Santhanam Peter Henderson Rishi Bommasani Tony Lee Percy Liang 213 3 0 03 May 2023
Evaluation of Convolution Primitives for Embedded Neural Networks on 32-bit Microcontrollers Baptiste Nguyen Pierre-Alain Moëllic Sylvain Blayac 47 2 0 19 Mar 2023
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities Brian Bartoldson B. Kailkhura Davis W. Blalock 168 55 0 13 Oct 2022
EC-NAS: Energy Consumption Aware Tabular Benchmarks for Neural Architecture Search Pedram Bakhtiarifard Christian Igel Raghavendra Selvan 189 11 0 12 Oct 2022
A Simple Baseline for Video Restoration with Grouped Spatial-temporal Shift Dasong Li Xiaoyu Shi Yuanhang Zhang Ka Chun Cheung Simon See Xiaogang Wang Hongwei Qin Hongsheng Li VGen 105 75 0 22 Jun 2022
Compact Neural Networks via Stacking Designed Basic Units Weichao Lan Yiu-ming Cheung Juyong Jiang 78 0 0 03 May 2022
HAA4D: Few-Shot Human Atomic Action Recognition via 3D Spatio-Temporal Skeletal Alignment Mu-Ruei Tseng Abhishek Gupta Chi-Keung Tang Yu-Wing Tai 3DH 88 7 0 15 Feb 2022
When Shift Operation Meets Vision Transformer: An Extremely Simple Alternative to Attention Mechanism Guangting Wang Yucheng Zhao Chuanxin Tang Chong Luo Wenjun Zeng 116 77 0 26 Jan 2022
GhostNets on Heterogeneous Devices via Cheap Operations Kai Han Yunhe Wang Chang Xu Jianyuan Guo Chunjing Xu Enhua Wu Qi Tian 104 116 0 10 Jan 2022
Learning Versatile Convolution Filters for Efficient Visual Recognition Kai Han Yunhe Wang Chang Xu Chunjing Xu Enhua Wu Dacheng Tao 76 8 0 20 Sep 2021
Improving Generalization of Batch Whitening by Convolutional Unit Optimization Yooshin Cho Hanbyel Cho Youngsoo Kim Junmo Kim 79 3 0 24 Aug 2021
Dissecting FLOPs along input dimensions for GreenAI cost estimations Andrea Asperti David Evangelista M. Marzolla 56 15 0 26 Jul 2021
A survey on Variational Autoencoders from a GreenAI perspective Andrea Asperti David Evangelista E. Loli Piccolomini DRL 113 55 0 01 Mar 2021
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution Ying Nie Kai Han Zhenhua Liu Chunjing Xu Yunhe Wang OOD 161 24 0 21 Jan 2021
Self-grouping Convolutional Neural Networks Qingbei Guo Xiaojun Wu J. Kittler Zhiquan Feng 72 24 0 29 Sep 2020
Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning Peter Henderson Jie Hu Joshua Romoff Emma Brunskill Dan Jurafsky Joelle Pineau 173 489 0 31 Jan 2020
GhostNet: More Features from Cheap Operations Kai Han Yunhe Wang Qi Tian Jianyuan Guo Chunjing Xu Chang Xu 200 2,890 0 27 Nov 2019
Efficient Hardware Implementation of Incremental Learning and Inference on Chip G. B. Hacene Vincent Gripon Nicolas Farrugia M. Arzel M. Jézéquel BDL 36 4 0 18 Nov 2019
Neural Similarity Learning Weiyang Liu Zhen Liu James M. Rehg Le Song 123 30 0 28 Oct 2019
4-Connected Shift Residual Networks Andrew Brown Pascal Mettes Marcel Worring 3DPC 60 9 0 22 Oct 2019
Training convolutional neural networks with cheap convolutions and online distillation Jiao Xie Shaohui Lin Yichen Zhang Linkai Luo 72 13 0 28 Sep 2019
Full-Stack Filters to Build Minimum Viable CNNs Kai Han Yunhe Wang Yixing Xu Chunjing Xu Dacheng Tao Chang Xu MQ 53 3 0 06 Aug 2019
New pointwise convolution in Deep Neural Networks through Extremely Fast and Non Parametric Transforms Joonhyun Jeong Sung-Ho Bae 83 1 0 25 Jun 2019
Attention Based Pruning for Shift Networks G. B. Hacene Carlos Lassance Vincent Gripon Matthieu Courbariaux Yoshua Bengio 118 25 0 29 May 2019
Training CNNs with Selective Allocation of Channels Jongheon Jeong Jinwoo Shin CVBM 120 15 0 11 May 2019
An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection Youngwan Lee Joong-won Hwang Sangrok Lee Yuseok Bae Jongyoul Park PINN ObjD 104 390 0 22 Apr 2019
Spatial Shortcut Network for Human Pose Estimation Te Qi Bayram Bayramli Usman Ali Qinchuan Zhang Hongtao Lu 3DH 47 3 0 05 Apr 2019
Convolution with even-sized kernels and symmetric padding Shuang Wu Guanrui Wang Pei Tang F. Chen Luping Shi 101 74 0 20 Mar 2019
All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification Weijie Chen Di Xie Yuan Zhang Shiliang Pu 90 81 0 13 Mar 2019