Pruning Filters for Efficient ConvNets

31 August 2016

Hao Li

Papers citing "Pruning Filters for Efficient ConvNets"

50 / 1,579 papers shown

Title
Boosted Locality Sensitive Hashing: Discriminative Binary Codes for Source Separation Sunwoo Kim Haici Yang Minje Kim 12 9 0 14 Feb 2020
PCNN: Pattern-based Fine-Grained Regular Pruning towards Optimizing CNN Accelerators Zhanhong Tan Jiebo Song Xiaolong Ma S. Tan Hongyang Chen ... Yifu Wu Shaokai Ye Yanzhi Wang Dehui Li Kaisheng Ma 38 24 0 11 Feb 2020
Network Pruning via Annealing and Direct Sparsity Control Yangzi Guo Yiyuan She Adrian Barbu 16 0 0 11 Feb 2020
Splitting Convolutional Neural Network Structures for Efficient Inference Emad Malekhosseini M. Hajabdollahi N. Karimi S. Samavi S. Shirani 11 6 0 09 Feb 2020
Convolutional Neural Network Pruning Using Filter Attenuation Morteza Mousa Pasandi M. Hajabdollahi N. Karimi S. Samavi S. Shirani 3DPC 11 3 0 09 Feb 2020
Soft Threshold Weight Reparameterization for Learnable Sparsity Aditya Kusupati Vivek Ramanujan Raghav Somani Mitchell Wortsman Prateek Jain Sham Kakade Ali Farhadi 33 242 0 08 Feb 2020
Quasi-Equivalence of Width and Depth of Neural Networks Fenglei Fan Rongjie Lai Ge Wang 22 11 0 06 Feb 2020
Feature-map-level Online Adversarial Knowledge Distillation Inseop Chung Seonguk Park Jangho Kim Nojun Kwak GAN 30 128 0 05 Feb 2020
Lightweight Convolutional Representations for On-Device Natural Language Processing Shrey Desai Geoffrey Goh Arun Babu Ahmed Aly AI4TS 20 8 0 04 Feb 2020
Proving the Lottery Ticket Hypothesis: Pruning is All You Need Eran Malach Gilad Yehudai Shai Shalev-Shwartz Ohad Shamir 64 272 0 03 Feb 2020
Widening and Squeezing: Towards Accurate and Efficient QNNs Chuanjian Liu Kai Han Yunhe Wang Hanting Chen Qi Tian Chunjing Xu MQ 13 0 0 03 Feb 2020
Automatic Pruning for Quantized Neural Networks Luis Guerra Bohan Zhuang Ian Reid Tom Drummond MQ 22 21 0 03 Feb 2020
An Equivalence between Bayesian Priors and Penalties in Variational Inference Pierre Wolinski Guillaume Charpiat Yann Ollivier BDL 25 1 0 01 Feb 2020
Post-Training Piecewise Linear Quantization for Deep Neural Networks Jun Fang Ali Shafiee Hamzah Abdel-Aziz D. Thorsley Georgios Georgiadis Joseph Hassoun MQ 17 145 0 31 Jan 2020
Localizing Interpretable Multi-scale informative Patches Derived from Media Classification Task Chuanguang Yang Zhulin An Xiaolong Hu Hui Zhu Yongjun Xu 12 0 0 31 Jan 2020
Search for Better Students to Learn Distilled Knowledge Jindong Gu Volker Tresp 28 19 0 30 Jan 2020
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild Rahul Duggal Scott Freitas Cao Xiao Duen Horng Chau Jimeng Sun 28 22 0 29 Jan 2020
Progressive Local Filter Pruning for Image Retrieval Acceleration Xiaodong Wang Zhedong Zheng Yang He Fei Yan Zhi-qiang Zeng Yi Yang 38 34 0 24 Jan 2020
SS-Auto: A Single-Shot, Automatic Structured Weight Pruning Framework of DNNs with Ultra-High Efficiency Zechao Li Yifan Gong Xiaolong Ma Sijia Liu Mengshu Sun Zheng Zhan Zhenglun Kong Geng Yuan Yanzhi Wang 6 17 0 23 Jan 2020
SPACE: Structured Compression and Sharing of Representational Space for Continual Learning Gobinda Saha Isha Garg Aayush Ankit Kaushik Roy CLL 22 22 0 23 Jan 2020
Channel Pruning via Automatic Structure Search Mingbao Lin Rongrong Ji Yuxin Zhang Baochang Zhang Yongjian Wu Yonghong Tian 79 241 0 23 Jan 2020
Filter Sketch for Network Pruning Mingbao Lin Liujuan Cao Shaojie Li QiXiang Ye Yonghong Tian Jianzhuang Liu Q. Tian Rongrong Ji CLIP 3DPC 31 82 0 23 Jan 2020
Pruning CNN's with linear filter ensembles Csanád Sándor Szabolcs Pável Lehel Csató 3DPC 43 3 0 22 Jan 2020
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices Xiaolong Ma Wei Niu Tianyun Zhang Sijia Liu Sheng Lin ... Xiang Chen Jian Tang Kaisheng Ma Bin Ren Yanzhi Wang 46 27 0 20 Jan 2020
A "Network Pruning Network" Approach to Deep Model Compression Vinay Kumar Verma Pravendra Singh Vinay P. Namboodiri Piyush Rai 3DPC VLM 30 8 0 15 Jan 2020
Filter Grafting for Deep Neural Networks Fanxu Meng Hao Cheng Ke Li Zhixin Xu Rongrong Ji Xing Sun Guangming Lu 30 33 0 15 Jan 2020
Modeling of Pruning Techniques for Deep Neural Networks Simplification Morteza Mousa Pasandi M. Hajabdollahi N. Karimi S. Samavi 3DPC 22 19 0 13 Jan 2020
Pruning Convolutional Neural Networks with Self-Supervision Mathilde Caron Ari S. Morcos Piotr Bojanowski Julien Mairal Armand Joulin SSL 3DPC 25 12 0 10 Jan 2020
Backdoor Attacks against Transfer Learning with Pre-trained Deep Learning Models Shuo Wang Surya Nepal Carsten Rudolph M. Grobler Shangyu Chen Tianle Chen AAML 27 103 0 10 Jan 2020
Campfire: Compressible, Regularization-Free, Structured Sparse Training for Hardware Accelerators Noah Gamboa Kais Kudrolli Anand Dhoot A. Pedram 14 10 0 09 Jan 2020
Compression of descriptor models for mobile applications Roy Miles K. Mikolajczyk 3DV 16 2 0 09 Jan 2020
Sparse Weight Activation Training Md Aamir Raihan Tor M. Aamodt 34 73 0 07 Jan 2020
Discrimination-aware Network Pruning for Deep Model Compression Jing Liu Bohan Zhuang Zhuangwei Zhuang Yong Guo Junzhou Huang Jin-Hui Zhu Mingkui Tan CVBM 19 119 0 04 Jan 2020
Lightweight Residual Densely Connected Convolutional Neural Network Fahimeh Fooladgar S. Kasaei 24 13 0 02 Jan 2020
ZeroQ: A Novel Zero Shot Quantization Framework Yaohui Cai Z. Yao Zhen Dong A. Gholami Michael W. Mahoney Kurt Keutzer MQ 43 389 0 01 Jan 2020
Lossless Compression of Deep Neural Networks Thiago Serra Abhinav Kumar Srikumar Ramalingam 26 56 0 01 Jan 2020
PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning Wei Niu Xiaolong Ma Sheng Lin Shihao Wang Xuehai Qian Xinyu Lin Yanzhi Wang Bin Ren MQ 35 227 0 01 Jan 2020
MoEVC: A Mixture-of-experts Voice Conversion System with Sparse Gating Mechanism for Accelerating Online Computation Yu-Tao Chang Yuan-Hong Yang Yu-Huai Peng Syu-Siang Wang T. Chi Yu Tsao Hsin-Min Wang MoE 16 0 0 27 Dec 2019
Pruning Deep Convolutional Neural Networks Architectures with Evolution Strategy Francisco Erivaldo Fernandes Junior Gary G. Yen 14 1 0 24 Dec 2019
DBP: Discrimination Based Block-Level Pruning for Deep Model Acceleration Wenxiao Wang Shuai Zhao Minghao Chen Jinming Hu Deng Cai Haifeng Liu 29 35 0 21 Dec 2019
Taxonomy and Evaluation of Structured Compression of Convolutional Neural Networks Andrey Kuzmin Markus Nagel Saurabh Pitre Sandeep Pendyam Tijmen Blankevoort Max Welling 9 27 0 20 Dec 2019
Adaptive Loss-aware Quantization for Multi-bit Networks Zhongnan Qu Zimu Zhou Yun Cheng Lothar Thiele MQ 36 53 0 18 Dec 2019
Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning Seul-Ki Yeom P. Seegerer Sebastian Lapuschkin Alexander Binder Simon Wiedemann K. Müller Wojciech Samek CVBM 21 199 0 18 Dec 2019
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion Hongxu Yin Pavlo Molchanov Zhizhong Li J. Álvarez Arun Mallya Derek Hoiem N. Jha Jan Kautz 37 554 0 18 Dec 2019
TOCO: A Framework for Compressing Neural Network Models Based on Tolerance Analysis Soroosh Khoram J. Li 16 1 0 18 Dec 2019
Learning to Prevent Leakage: Privacy-Preserving Inference in the Mobile Cloud Shuang Zhang Liyao Xiang Congcong Li Yixuan Wang Quanshi Zhang Zeyu Liu Yue Liu FedML 16 1 0 18 Dec 2019
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation Tianhong Dai Kai Arulkumaran Tamara Gerbert Samyakh Tukra Feryal M. P. Behbahani Anil Anthony Bharath 17 27 0 18 Dec 2019
$$\ell_0$ Regularized Structured Sparsity Convolutional Neural Networks$ $\ell_0$ Regularized Structured Sparsity Convolutional Neural Networks Kevin Bui Fredrick Park Shuai Zhang Y. Qi Jack Xin 33 0 0 17 Dec 2019
Linear Mode Connectivity and the Lottery Ticket Hypothesis Jonathan Frankle Gintare Karolina Dziugaite Daniel M. Roy Michael Carbin MoMe 43 601 0 11 Dec 2019
An Improving Framework of regularization for Network Compression E. Zhenqian Weiguo Gao AI4CE 21 0 0 11 Dec 2019