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 / 145 papers shown

Title
Forget the Data and Fine-Tuning! Just Fold the Network to Compress Dong Wang Haris Šikić Lothar Thiele O. Saukh 68 0 0 17 Feb 2025
Causal Deep Learning M. Alex O. Vasilescu CML 67 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 95 9 0 26 Nov 2024
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement Gaurav Patel Christopher Sandino Behrooz Mahasseni Ellen L. Zippi Erdrin Azemi Ali Moin Juri Minxha TTA AI4TS 55 3 0 03 Oct 2024
Reweighted Solutions for Weighted Low Rank Approximation David P. Woodruff T. Yasuda 42 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 40 2 0 15 Apr 2024
Convolutional Neural Network Compression via Dynamic Parameter Rank Pruning Manish Sharma Jamison Heard Eli Saber Panos P. Markopoulos 31 1 0 15 Jan 2024
Adaptive Compression-Aware Split Learning and Inference for Enhanced Network Efficiency Akrit Mudvari Antero Vainio Iason Ofeidis Sasu Tarkoma Leandros Tassiulas 32 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 27 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 37 3 0 22 Aug 2023
Quantization Aware Factorization for Deep Neural Network Compression Daria Cherniuk Stanislav Abukhovich Anh-Huy Phan Ivan Oseledets A. Cichocki Julia Gusak MQ 28 2 0 08 Aug 2023
Forward and Inverse Approximation Theory for Linear Temporal Convolutional Networks Hao Jiang Qianxiao Li AI4TS 24 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 45 9 0 26 May 2023
Compressing Neural Networks Using Tensor Networks with Exponentially Fewer Variational Parameters Yong Qing Ke Li P. Zhou Shi-Ju Ran 29 6 0 10 May 2023
Low Rank Optimization for Efficient Deep Learning: Making A Balance between Compact Architecture and Fast Training Xinwei Ou Zhangxin Chen Ce Zhu Yipeng Liu 36 4 0 22 Mar 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 26 8 0 08 Feb 2023
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives Maolin Wang Yu Pan Zenglin Xu Xiangli Yang Guangxi Li A. Cichocki Andrzej Cichocki 61 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 29 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 32 13 0 13 Jan 2023
CSTAR: Towards Compact and STructured Deep Neural Networks with Adversarial Robustness Huy Phan Miao Yin Yang Sui Bo Yuan S. Zonouz AAML GNN 32 8 0 04 Dec 2022
Towards Practical Control of Singular Values of Convolutional Layers Alexandra Senderovich Ekaterina Bulatova Anton Obukhov M. Rakhuba AAML 19 9 0 24 Nov 2022
Pruning Very Deep Neural Network Channels for Efficient Inference Yihui He 35 1 0 14 Nov 2022
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 27 8 0 07 Nov 2022
Edge-Cloud Cooperation for DNN Inference via Reinforcement Learning and Supervised Learning Tinghao Zhang Zhijun Li Yongrui Chen Kwok-Yan Lam Jun Zhao 13 4 0 11 Oct 2022
SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search Zhewen Yu C. Bouganis 37 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 48 3 0 22 Aug 2022
Gator: Customizable Channel Pruning of Neural Networks with Gating E. Passov E. David N. Netanyahu AAML 45 0 0 30 May 2022
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks Yu Pan Zeyong Su Ao Liu Jingquan Wang Nannan Li Zenglin Xu 40 11 0 28 May 2022
Compression-aware Training of Neural Networks using Frank-Wolfe Max Zimmer Christoph Spiegel Sebastian Pokutta 31 9 0 24 May 2022
OMAD: On-device Mental Anomaly Detection for Substance and Non-Substance Users Emon Dey Nirmalya Roy 15 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 35 4 0 10 Mar 2022
Data-Efficient Structured Pruning via Submodular Optimization Marwa El Halabi Suraj Srinivas Simon Lacoste-Julien 22 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 31 17 0 09 Mar 2022
Energy awareness in low precision neural networks Nurit Spingarn-Eliezer Ron Banner Elad Hoffer Hilla Ben-Yaacov T. Michaeli 41 0 0 06 Feb 2022
LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision Rui Han Qinglong Zhang C. Liu Guoren Wang Jian Tang L. Chen 21 44 0 18 Dec 2021
A New Measure of Model Redundancy for Compressed Convolutional Neural Networks Feiqing Huang Yuefeng Si Yao Zheng Guodong Li 39 1 0 09 Dec 2021
Low-rank Tensor Decomposition for Compression of Convolutional Neural Networks Using Funnel Regularization Bo-Shiuan Chu Che-Rung Lee 26 11 0 07 Dec 2021
Nonlinear Tensor Ring Network Xiao Peng Li Qi Liu Hayden Kwok-Hay So 19 0 0 12 Nov 2021
Reconstructing Pruned Filters using Cheap Spatial Transformations Roy Miles K. Mikolajczyk 29 0 0 25 Oct 2021
Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation Sumanth Chennupati Mohammad Mahdi Kamani Zhongwei Cheng Lin Chen 32 4 0 19 Oct 2021
Neural Network Pruning Through Constrained Reinforcement Learning Shehryar Malik Muhammad Umair Haider O. Iqbal M. Taj 35 0 0 16 Oct 2021
Semi-tensor Product-based TensorDecomposition for Neural Network Compression Hengling Zhao Yipeng Liu Xiaolin Huang Ce Zhu 47 6 0 30 Sep 2021
Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition Marawan Gamal Abdel Hameed Marzieh S. Tahaei A. Mosleh V. Nia 47 25 0 29 Sep 2021
Multi-Tensor Network Representation for High-Order Tensor Completion Chang Nie Huan Wang Zhihui Lai 17 2 0 09 Sep 2021
Design and Scaffolded Training of an Efficient DNN Operator for Computer Vision on the Edge Vinod Ganesan Pratyush Kumar 42 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 32 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 34 119 0 07 Jul 2021
Knowledge Distillation via Instance-level Sequence Learning Haoran Zhao Xin Sun Junyu Dong Zihe Dong Qiong Li 34 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 29 20 0 17 Jun 2021