Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications

20 November 2015

Papers citing "Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications"

50 / 98 papers shown

Title
Forget the Data and Fine-Tuning! Just Fold the Network to Compress Dong Wang Haris Šikić Lothar Thiele O. Saukh 44 0 0 17 Feb 2025
Causal Deep Learning M. Alex O. Vasilescu CML 51 2 1 03 Jan 2025
Task Singular Vectors: Reducing Task Interference in Model Merging Antonio Andrea Gargiulo Donato Crisostomi Maria Sofia Bucarelli Simone Scardapane Fabrizio Silvestri Emanuele Rodolà MoMe 87 8 0 26 Nov 2024
Reweighted Solutions for Weighted Low Rank Approximation David P. Woodruff T. Yasuda 26 1 0 04 Jun 2024
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
Adaptive Compression-Aware Split Learning and Inference for Enhanced Network Efficiency Akrit Mudvari Antero Vainio Iason Ofeidis Sasu Tarkoma Leandros Tassiulas 24 3 0 09 Nov 2023
Robust Adversarial Defense by Tensor Factorization Manish Bhattarai M. C. Kaymak Ryan Barron Ben Nebgen Kim Ø. Rasmussen Boian Alexandrov AAML 11 2 0 03 Sep 2023
Deep learning-based denoising streamed from mobile phones improves speech-in-noise understanding for hearing aid users P. U. Diehl Hannes Zilly Felix Sattler Y. Singer Kevin Kepp ... Paul Meyer-Rachner A. Pudszuhn V. Hofmann M. Vormann Elias Sprengel 29 3 0 22 Aug 2023
Quantization Aware Factorization for Deep Neural Network Compression Daria Cherniuk Stanislav Abukhovich Anh-Huy Phan Ivan V. Oseledets A. Cichocki Julia Gusak MQ 15 2 0 08 Aug 2023
Forward and Inverse Approximation Theory for Linear Temporal Convolutional Networks Hao Jiang Qianxiao Li AI4TS 8 0 0 29 May 2023
COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models Jinqi Xiao Miao Yin Yu Gong Xiao Zang Jian Ren Bo Yuan VLM ViT 30 9 0 26 May 2023
Compressing neural network by tensor network with exponentially fewer variational parameters Yong Qing Ke Li P. Zhou Shi-Ju Ran 14 6 0 10 May 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
Approximately Optimal Core Shapes for Tensor Decompositions Mehrdad Ghadiri Matthew Fahrbach Gang Fu Vahab Mirrokni 13 8 0 08 Feb 2023
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives Maolin Wang Y. Pan Zenglin Xu Xiangli Yang Guangxi Li A. Cichocki Andrzej Cichocki 43 19 0 22 Jan 2023
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
GOHSP: A Unified Framework of Graph and Optimization-based Heterogeneous Structured Pruning for Vision Transformer Miao Yin Burak Uzkent Yilin Shen Hongxia Jin Bo Yuan ViT 24 13 0 13 Jan 2023
TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition Lizhi Xiang Miao Yin Chengming Zhang Aravind Sukumaran-Rajam P. Sadayappan Bo Yuan Dingwen Tao 3DV 18 8 0 07 Nov 2022
SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search Zhewen Yu C. Bouganis 10 4 0 22 Aug 2022
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey Dalin Zhang Kaixuan Chen Yan Zhao B. Yang Li-Ping Yao Christian S. Jensen 38 3 0 22 Aug 2022
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks Y. Pan Zeyong Su Ao Liu Jingquan Wang Nannan Li Zenglin Xu 19 11 0 28 May 2022
Compression-aware Training of Neural Networks using Frank-Wolfe Max Zimmer Christoph Spiegel S. Pokutta 16 9 0 24 May 2022
OMAD: On-device Mental Anomaly Detection for Substance and Non-Substance Users Emon Dey Nirmalya Roy 12 5 0 13 Apr 2022
Compressing CNN Kernels for Videos Using Tucker Decompositions: Towards Lightweight CNN Applications Tobias Engelhardt Rasmussen Line H. Clemmensen Andreas Baum 19 4 0 10 Mar 2022
Data-Efficient Structured Pruning via Submodular Optimization Marwa El Halabi Suraj Srinivas Simon Lacoste-Julien 13 18 0 09 Mar 2022
Update Compression for Deep Neural Networks on the Edge Bo Chen A. Bakhshi Gustavo E. A. P. A. Batista Brian Ng Tat-Jun Chin 19 17 0 09 Mar 2022
LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision Rui Han Qinglong Zhang C. Liu Guoren Wang Jian Tang L. Chen 8 43 0 18 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
Nonlinear Tensor Ring Network Xiao Peng Li Qi Liu Hayden Kwok-Hay So 14 0 0 12 Nov 2021
Reconstructing Pruned Filters using Cheap Spatial Transformations Roy Miles K. Mikolajczyk 19 0 0 25 Oct 2021
Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation Sumanth Chennupati Mohammad Mahdi Kamani Zhongwei Cheng Lin Chen 19 4 0 19 Oct 2021
Neural Network Pruning Through Constrained Reinforcement Learning Shehryar Malik Muhammad Umair Haider O. Iqbal M. Taj 18 0 0 16 Oct 2021
Multi-Tensor Network Representation for High-Order Tensor Completion Chang Nie Huan Wang Zhihui Lai 13 2 0 09 Sep 2021
Design and Scaffolded Training of an Efficient DNN Operator for Computer Vision on the Edge Vinod Ganesan Pratyush Kumar 34 2 0 25 Aug 2021
Tensor Yard: One-Shot Algorithm of Hardware-Friendly Tensor-Train Decomposition for Convolutional Neural Networks Anuar Taskynov Vladimir Korviakov I. Mazurenko Yepan Xiong 16 2 0 09 Aug 2021
Tensor Methods in Computer Vision and Deep Learning Yannis Panagakis Jean Kossaifi Grigorios G. Chrysos James Oldfield M. Nicolaou Anima Anandkumar S. Zafeiriou 19 119 0 07 Jul 2021
Knowledge Distillation via Instance-level Sequence Learning Haoran Zhao Xin Sun Junyu Dong Zihe Dong Qiong Li 26 23 0 21 Jun 2021
Layer Folding: Neural Network Depth Reduction using Activation Linearization Amir Ben Dror Niv Zehngut Avraham Raviv E. Artyomov Ran Vitek R. Jevnisek 18 20 0 17 Jun 2021
Marginalizable Density Models D. Gilboa Ari Pakman Thibault Vatter BDL 21 5 0 08 Jun 2021
Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting Y. Xu G. G. Calvi Danilo P. Mandic AI4TS 10 11 0 11 May 2021
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy Debesh Jha Nikhil Kumar Tomar Sharib Ali Michael A. Riegler Haavard D. Johansen Dag Johansen Thomas de Lange P. Halvorsen 11 55 0 22 Apr 2021
RingCNN: Exploiting Algebraically-Sparse Ring Tensors for Energy-Efficient CNN-Based Computational Imaging Chao-Tsung Huang 32 10 0 19 Apr 2021
Compacting Deep Neural Networks for Internet of Things: Methods and Applications Ke Zhang Hanbo Ying Hongning Dai Lin Li Yuangyuang Peng Keyi Guo Hongfang Yu 16 38 0 20 Mar 2021
Toward Compact Deep Neural Networks via Energy-Aware Pruning Seul-Ki Yeom Kyung-Hwan Shim Jee-Hyun Hwang CVBM 20 12 0 19 Mar 2021
Revisiting Dynamic Convolution via Matrix Decomposition Yunsheng Li Yinpeng Chen Xiyang Dai Mengchen Liu Dongdong Chen Ye Yu Lu Yuan Zicheng Liu Mei Chen Nuno Vasconcelos 22 67 0 15 Mar 2021
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead Maurizio Capra Beatrice Bussolino Alberto Marchisio Guido Masera Maurizio Martina Muhammad Shafique BDL 48 139 0 21 Dec 2020
Low-Complexity Models for Acoustic Scene Classification Based on Receptive Field Regularization and Frequency Damping Khaled Koutini Florian Henkel Hamid Eghbalzadeh Gerhard Widmer 14 9 0 05 Nov 2020
Impact of Thermal Throttling on Long-Term Visual Inference in a CPU-based Edge Device Théo Benoit-Cattin Delia Velasco-Montero Jorge Fernández-Berni 11 25 0 13 Oct 2020
Transform Quantization for CNN (Convolutional Neural Network) Compression Sean I. Young Wang Zhe David S. Taubman B. Girod MQ 19 69 0 02 Sep 2020
Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network Anh-Huy Phan Konstantin Sobolev Konstantin Sozykin Dmitry Ermilov Julia Gusak P. Tichavský Valeriy Glukhov Ivan V. Oseledets A. Cichocki BDL 9 128 0 12 Aug 2020