v1v2 (latest)

Rethinking the Value of Network Pruning

11 October 2018

Gao Huang

Papers citing "Rethinking the Value of Network Pruning"

50 / 757 papers shown

Title
A survey on deep learning approaches for breast cancer diagnosis Timothy C. H. Kwong S. Mazaheri MedIm 56 4 0 18 Sep 2021
AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance Xiangcheng Liu Jian Cao Hongyi Yao Wenyu Sun Yuan Zhang 61 2 0 14 Sep 2021
Rethinking Lightweight Convolutional Neural Networks for Efficient and High-quality Pavement Crack Detection Kai Li Jie Yang Siwei Ma Bo Wang Shanshe Wang Ying-fang Tian Zhiquan Qi 78 12 0 13 Sep 2021
Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights Jang-Hyun Kim Jayeon Yoo Yeji Song Kiyoon Yoo Nojun Kwak 69 6 0 10 Sep 2021
SensiX++: Bringing MLOPs and Multi-tenant Model Serving to Sensory Edge Devices Chulhong Min Akhil Mathur Utku Günay Acer A. Montanari F. Kawsar 67 12 0 08 Sep 2021
Multistage Pruning of CNN Based ECG Classifiers for Edge Devices Xiaoling Li R. Panicker B. Cardiff Deepu John 47 20 0 31 Aug 2021
Pruning with Compensation: Efficient Channel Pruning for Deep Convolutional Neural Networks Zhouyang Xie Yan Fu Sheng-Zhao Tian Junlin Zhou Duanbing Chen 3DV 48 0 0 31 Aug 2021
AIP: Adversarial Iterative Pruning Based on Knowledge Transfer for Convolutional Neural Networks Jingfei Chang Yang Lu Ping Xue Yiqun Xu Zhen Wei 58 0 0 31 Aug 2021
Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions Yang Wu Dingheng Wang Xiaotong Lu Fan Yang Guoqi Li W. Dong Jianbo Shi 104 18 0 30 Aug 2021
Layer-wise Model Pruning based on Mutual Information Chun Fan Jiwei Li Xiang Ao Leilei Gan Yuxian Meng Xiaofei Sun 84 19 0 28 Aug 2021
GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices based on Fine-Grained Structured Weight Sparsity Wei Niu Zhengang Xiaolong Ma Zhaoyang Han Gang Zhou Xuehai Qian Xue Lin Yanzhi Wang Bin Ren 43 19 0 25 Aug 2021
Pruning in the Face of Adversaries F. Merkle Maximilian Samsinger Pascal Schöttle AAML CVBM 63 3 0 19 Aug 2021
An Information Theory-inspired Strategy for Automatic Network Pruning Xiawu Zheng Yuexiao Ma Teng Xi Gang Zhang Errui Ding Yuchao Li Jie Chen Yonghong Tian Rongrong Ji 207 13 0 19 Aug 2021
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search Zheng Zhan Yifan Gong Pu Zhao Geng Yuan Wei Niu ... Malith Jayaweera David Kaeli Bin Ren Xue Lin Yanzhi Wang SupR 69 42 0 18 Aug 2021
On the Effect of Pruning on Adversarial Robustness Artur Jordão Hélio Pedrini AAML 111 23 0 10 Aug 2021
A Generalizable Model-and-Data Driven Approach for Open-Set RFF Authentication Renjie Xie Wei Xu Yanzhi Chen Jiabao Yu A. Hu Derrick Wing Kwan Ng A. L. Swindlehurst 57 74 0 10 Aug 2021
$Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000$\times$ Compression and 3.1$\times$ Faster Inference$ Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000 $\times$ Compression and 3.1 $\times$ Faster Inference Aditya Desai Li Chou Anshumali Shrivastava AI4CE 59 6 0 04 Aug 2021
Learning Compatible Embeddings Qiang Meng Chixiang Zhang Xiaoqiang Xu F. Zhou VLM 68 38 0 04 Aug 2021
Rapid Elastic Architecture Search under Specialized Classes and Resource Constraints Jing Liu Bohan Zhuang Mingkui Tan Xu Liu Dinh Q. Phung Yuanqing Li Jianfei Cai 61 0 0 03 Aug 2021
How much pre-training is enough to discover a good subnetwork? Cameron R. Wolfe Fangshuo Liao Qihan Wang Junhyung Lyle Kim Anastasios Kyrillidis 90 3 0 31 Jul 2021
Model Preserving Compression for Neural Networks Jerry Chee Megan Flynn Anil Damle Chris De Sa 35 10 0 30 Jul 2021
Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN Xiaohan Ding Tianxiang Hao Jungong Han Yuchen Guo Guiguang Ding 74 14 0 30 Jul 2021
Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition Lucas Liebenwein Alaa Maalouf O. Gal Dan Feldman Daniela Rus 75 47 0 23 Jul 2021
Estimation of a regression function on a manifold by fully connected deep neural networks Michael Kohler S. Langer U. Reif 70 5 0 20 Jul 2021
Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided Compression Souvik Kundu Gourav Datta Massoud Pedram Peter A. Beerel 66 14 0 16 Jul 2021
Boosting the Convergence of Reinforcement Learning-based Auto-pruning Using Historical Data Jiandong Mu Mengdi Wang Feiwen Zhu Jun Yang Weiran Lin Wei Zhang OnRL 44 2 0 16 Jul 2021
Compact and Optimal Deep Learning with Recurrent Parameter Generators Jiayun Wang Yubei Chen Stella X. Yu Brian Cheung Yann LeCun BDL 84 4 0 15 Jul 2021
Data-Driven Low-Rank Neural Network Compression D. Papadimitriou Swayambhoo Jain BDL 56 4 0 13 Jul 2021
LANA: Latency Aware Network Acceleration Pavlo Molchanov Jimmy Hall Hongxu Yin Jan Kautz Nicolò Fusi Arash Vahdat 139 10 0 12 Jul 2021
Structured Directional Pruning via Perturbation Orthogonal Projection YinchuanLi XiaofengLiu YunfengShao QingWang YanhuiGeng 48 2 0 12 Jul 2021
Model compression as constrained optimization, with application to neural nets. Part V: combining compressions Miguel Á. Carreira-Perpiñán Yerlan Idelbayev 119 6 0 09 Jul 2021
Connectivity Matters: Neural Network Pruning Through the Lens of Effective Sparsity Artem Vysogorets Julia Kempe 107 22 0 05 Jul 2021
A Generalized Lottery Ticket Hypothesis Ibrahim Alabdulmohsin L. Markeeva Daniel Keysers Ilya O. Tolstikhin 69 6 0 03 Jul 2021
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? Xiaolong Ma Geng Yuan Xuan Shen Tianlong Chen Xuxi Chen ... Ning Liu Minghai Qin Sijia Liu Zhangyang Wang Yanzhi Wang 159 65 0 01 Jul 2021
ViTAS: Vision Transformer Architecture Search Xiu Su Shan You Jiyang Xie Mingkai Zheng Fei Wang Chao Qian Changshui Zhang Xiaogang Wang Chang Xu ViT 100 55 0 25 Jun 2021
CD-SGD: Distributed Stochastic Gradient Descent with Compression and Delay Compensation Enda Yu Dezun Dong Yemao Xu Shuo Ouyang Xiangke Liao 49 5 0 21 Jun 2021
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration Shiwei Liu Tianlong Chen Xiaohan Chen Zahra Atashgahi Lu Yin Huanyu Kou Li Shen Mykola Pechenizkiy Zhangyang Wang Decebal Constantin Mocanu 128 116 0 19 Jun 2021
Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better Gaurav Menghani VLM MedIm 110 391 0 16 Jun 2021
Towards Understanding Iterative Magnitude Pruning: Why Lottery Tickets Win Jaron Maene Mingxiao Li Marie-Francine Moens 66 15 0 13 Jun 2021
DECORE: Deep Compression with Reinforcement Learning Manoj Alwani Yang Wang Vashisht Madhavan AI4CE 75 44 0 11 Jun 2021
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition Cheng-I Jeff Lai Yang Zhang Alexander H. Liu Shiyu Chang Yi-Lun Liao Yung-Sung Chuang Kaizhi Qian Sameer Khurana David D. Cox James R. Glass VLM 162 78 0 10 Jun 2021
Ex uno plures: Splitting One Model into an Ensemble of Subnetworks Zhilu Zhang Vianne R. Gao M. Sabuncu UQCV 101 6 0 09 Jun 2021
Can Subnetwork Structure be the Key to Out-of-Distribution Generalization? Dinghuai Zhang Kartik Ahuja Yilun Xu Yisen Wang Aaron Courville OOD 99 96 0 05 Jun 2021
GANs Can Play Lottery Tickets Too Xuxi Chen Zhenyu Zhang Yongduo Sui Tianlong Chen GAN 82 58 0 31 May 2021
RED : Looking for Redundancies for Data-Free Structured Compression of Deep Neural Networks Edouard Yvinec Arnaud Dapogny Matthieu Cord Kévin Bailly CVBM 73 24 0 31 May 2021
1xN Pattern for Pruning Convolutional Neural Networks Mingbao Lin Yu-xin Zhang Yuchao Li Bohong Chen Yong Li Mengdi Wang Shen Li Yonghong Tian Rongrong Ji 3DPC 134 44 0 31 May 2021
$Neural Network Training Using $\ell_1$-Regularization and Bi-fidelity Data$ Neural Network Training Using $\ell_1$ -Regularization and Bi-fidelity Data Subhayan De Alireza Doostan 71 25 0 27 May 2021
Dynamic Probabilistic Pruning: A general framework for hardware-constrained pruning at different granularities L. Gonzalez-Carabarin Iris A. M. Huijben Bastian Veeling A. Schmid Ruud J. G. van Sloun 59 11 0 26 May 2021
Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization Chen Liang Simiao Zuo Minshuo Chen Haoming Jiang Xiaodong Liu Pengcheng He T. Zhao Weizhu Chen 69 69 0 25 May 2021
Towards Compact CNNs via Collaborative Compression Yuchao Li Shaohui Lin Jianzhuang Liu QiXiang Ye Mengdi Wang Yong Li Fan Yang Jincheng Ma Qi Tian Rongrong Ji 3DV 68 88 0 24 May 2021