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Rethinking the Value of Network Pruning

11 October 2018

Gao Huang

Papers citing "Rethinking the Value of Network Pruning"

50 / 757 papers shown

Title
Winning Lottery Tickets in Deep Generative Models Neha Kalibhat Yogesh Balaji Soheil Feizi WIGM 101 42 0 05 Oct 2020
UCP: Uniform Channel Pruning for Deep Convolutional Neural Networks Compression and Acceleration Jingfei Chang Yang Lu Ping Xue Xing Wei Zhen Wei 31 2 0 03 Oct 2020
Pruning Filter in Filter Fanxu Meng Hao Cheng Ke Li Huixiang Luo Xiao-Wei Guo Guangming Lu Xing Sun VLM 87 109 0 30 Sep 2020
A Gradient Flow Framework For Analyzing Network Pruning Ekdeep Singh Lubana Robert P. Dick 127 52 0 24 Sep 2020
Pruning Convolutional Filters using Batch Bridgeout Najeeb Khan Ian Stavness 42 3 0 23 Sep 2020
Schizophrenia-mimicking layers outperform conventional neural network layers R. Mizutani Senta Noguchi R. Saiga Yuichi Yamashita M. Miyashita Makoto Arai M. Itokawa 22 4 0 23 Sep 2020
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot Jingtong Su Yihang Chen Tianle Cai Tianhao Wu Ruiqi Gao Liwei Wang Jason D. Lee 73 86 0 22 Sep 2020
MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework Sung-En Chang Yanyu Li Mengshu Sun Weiwen Jiang Runbin Shi Xue Lin Yanzhi Wang MQ 53 7 0 16 Sep 2020
Achieving Adversarial Robustness via Sparsity Shu-Fan Wang Ningyi Liao Liyao Xiang Nanyang Ye Quanshi Zhang AAML 58 16 0 11 Sep 2020
Adversarially Robust Neural Architectures Minjing Dong Yanxi Li Yunhe Wang Chang Xu AAML OOD 100 49 0 02 Sep 2020
Efficient and Sparse Neural Networks by Pruning Weights in a Multiobjective Learning Approach Malena Reiners K. Klamroth Michael Stiglmayr 56 18 0 31 Aug 2020
HALO: Learning to Prune Neural Networks with Shrinkage Skyler Seto M. Wells Wenyu Zhang 67 0 0 24 Aug 2020
Training Sparse Neural Networks using Compressed Sensing Jonathan W. Siegel Jianhong Chen Pengchuan Zhang Jinchao Xu 82 5 0 21 Aug 2020
Data-Independent Structured Pruning of Neural Networks via Coresets Ben Mussay Dan Feldman Samson Zhou Vladimir Braverman Margarita Osadchy 80 26 0 19 Aug 2020
Heterogeneous Federated Learning Fuxun Yu Weishan Zhang Zhuwei Qin Zirui Xu Di Wang Chenchen Liu Zhi Tian Xiang Chen FedML 70 22 0 15 Aug 2020
Estimating the Magnitude and Phase of Automotive Radar Signals under Multiple Interference Sources with Fully Convolutional Networks Nicolae-Cuatualin Ristea Andrei Anghel Radu Tudor Ionescu 52 17 0 11 Aug 2020
RARTS: An Efficient First-Order Relaxed Architecture Search Method Fanghui Xue Y. Qi Jack Xin 31 3 0 10 Aug 2020
Structured Convolutions for Efficient Neural Network Design Yash Bhalgat Yizhe Zhang J. Lin Fatih Porikli 86 8 0 06 Aug 2020
Ultra-light deep MIR by trimming lottery tickets P. Esling Théis Bazin Adrien Bitton Tristan Carsault Ninon Devis 27 2 0 31 Jul 2020
Diet deep generative audio models with structured lottery P. Esling Ninon Devis Adrien Bitton Antoine Caillon Axel Chemla-Romeu-Santos Constance Douwes 105 6 0 31 Jul 2020
Hierarchical Action Classification with Network Pruning Mahdi Davoodikakhki KangKang Yin 78 20 0 30 Jul 2020
RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices Wei Niu Mengshu Sun Zechao Li Jou-An Chen Jiexiong Guan Xipeng Shen Yanzhi Wang Sijia Liu Xue Lin Bin Ren MQ 64 12 0 20 Jul 2020
Channel-Level Variable Quantization Network for Deep Image Compression Zhisheng Zhong Hiroaki Akutsu Kiyoharu Aizawa 35 20 0 15 Jul 2020
T-Basis: a Compact Representation for Neural Networks Anton Obukhov M. Rakhuba Stamatios Georgoulis Menelaos Kanakis Dengxin Dai Luc Van Gool 121 27 0 13 Jul 2020
Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer Xinghao Chen Yiman Zhang Yunhe Wang Han Shu Chunjing Xu Chang Xu VGen 80 54 0 10 Jul 2020
ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting Xiaohan Ding Tianxiang Hao Jianchao Tan Ji Liu Jungong Han Yuchen Guo Guiguang Ding 91 166 0 07 Jul 2020
Bespoke vs. Prêt-à-Porter Lottery Tickets: Exploiting Mask Similarity for Trainable Sub-Network Finding Michela Paganini Jessica Zosa Forde UQCV 51 6 0 06 Jul 2020
DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths Yanwei Fu Chen Liu Donghao Li Xinwei Sun Jinshan Zeng Yuan Yao 39 9 0 04 Jul 2020
Learning to Prune in Training via Dynamic Channel Propagation S. Shen Rongpeng Li Zhifeng Zhao Honggang Zhang Yugeng Zhou 28 4 0 03 Jul 2020
Go Wide, Then Narrow: Efficient Training of Deep Thin Networks Denny Zhou Mao Ye Chen Chen Tianjian Meng Mingxing Tan Xiaodan Song Quoc V. Le Qiang Liu Dale Schuurmans 63 20 0 01 Jul 2020
Single Shot Structured Pruning Before Training Joost R. van Amersfoort Milad Alizadeh Sebastian Farquhar Nicholas D. Lane Y. Gal 70 22 0 01 Jul 2020
Asymmetric metric learning for knowledge transfer Mateusz Budnik Yannis Avrithis 69 35 0 29 Jun 2020
ESPN: Extremely Sparse Pruned Networks Minsu Cho Ameya Joshi Chinmay Hegde 54 9 0 28 Jun 2020
Topological Insights into Sparse Neural Networks Shiwei Liu T. Lee Anil Yaman Zahra Atashgahi David L. Ferraro Ghada Sokar Mykola Pechenizkiy Decebal Constantin Mocanu 61 30 0 24 Jun 2020
Ramanujan Bipartite Graph Products for Efficient Block Sparse Neural Networks Dharma Teja Vooturi G. Varma Kishore Kothapalli 47 6 0 24 Jun 2020
PFGDF: Pruning Filter via Gaussian Distribution Feature for Deep Neural Networks Acceleration Jianrong Xu Boyu Diao Bifeng Cui Kang Yang Chao Li H. Hong 39 4 0 23 Jun 2020
NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks Eugene Lee Chen-Yi Lee 47 14 0 23 Jun 2020
Slimming Neural Networks using Adaptive Connectivity Scores Madan Ravi Ganesh Dawsin Blanchard Jason J. Corso Salimeh Yasaei Sekeh 61 11 0 22 Jun 2020
Neural networks adapting to datasets: learning network size and topology R. Janik A. Nowak AI4CE 26 0 0 22 Jun 2020
Paying more attention to snapshots of Iterative Pruning: Improving Model Compression via Ensemble Distillation Duong H. Le Vo Trung Nhan N. Thoai VLM 54 7 0 20 Jun 2020
Directional Pruning of Deep Neural Networks Shih-Kang Chao Zhanyu Wang Yue Xing Guang Cheng ODL 76 33 0 16 Jun 2020
Progressive Skeletonization: Trimming more fat from a network at initialization Pau de Jorge Amartya Sanyal Harkirat Singh Behl Philip Torr Grégory Rogez P. Dokania 116 95 0 16 Jun 2020
Finding trainable sparse networks through Neural Tangent Transfer Tianlin Liu Friedemann Zenke 70 35 0 15 Jun 2020
Dynamic Model Pruning with Feedback Tao R. Lin Sebastian U. Stich Luis Barba Daniil Dmitriev Martin Jaggi 167 204 0 12 Jun 2020
How many winning tickets are there in one DNN? Kathrin Grosse Michael Backes UQCV 36 2 0 12 Jun 2020
Pruning neural networks without any data by iteratively conserving synaptic flow Hidenori Tanaka D. Kunin Daniel L. K. Yamins Surya Ganguli 216 652 0 09 Jun 2020
A Framework for Neural Network Pruning Using Gibbs Distributions Alex Labach S. Valaee 33 5 0 08 Jun 2020
Differentiable Neural Input Search for Recommender Systems Weiyu Cheng Yanyan Shen Linpeng Huang 75 36 0 08 Jun 2020
Novel Adaptive Binary Search Strategy-First Hybrid Pyramid- and Clustering-Based CNN Filter Pruning Method without Parameters Setting K. Chung Yu-Lun Chang Bo-Wei Tsai 27 0 0 08 Jun 2020
Neural Sparse Representation for Image Restoration Yuchen Fan Jiahui Yu Yiqun Mei Yulun Zhang Y. Fu Ding Liu Thomas S. Huang 44 32 0 08 Jun 2020