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Pruning Filters for Efficient ConvNets

31 August 2016

Hao Li

Papers citing "Pruning Filters for Efficient ConvNets"

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Title
MetaV: A Meta-Verifier Approach to Task-Agnostic Model Fingerprinting Xudong Pan Yifan Yan Mi Zhang Min Yang 92 24 0 19 Jan 2022
Pruning-aware Sparse Regularization for Network Pruning Nanfei Jiang Xu Zhao Chaoyang Zhao Yongqi An Ming Tang Jinqiao Wang 3DPC 72 13 0 18 Jan 2022
UWC: Unit-wise Calibration Towards Rapid Network Compression Chen Lin Zheyang Li Bo Peng Haoji Hu Wenming Tan Ye Ren Shiliang Pu MQ 38 1 0 17 Jan 2022
Explainability Tools Enabling Deep Learning in Future In-Situ Real-Time Planetary Explorations Daniel Lundström Alexander Huyen Arya Mevada Kyongsik Yun Thomas Lu 16 1 0 15 Jan 2022
Automatic Sparse Connectivity Learning for Neural Networks Zhimin Tang Linkai Luo Bike Xie Yiyu Zhu Rujie Zhao Lvqing Bi Chao Lu 90 42 0 13 Jan 2022
Recursive Least Squares for Training and Pruning Convolutional Neural Networks Tianzong Yu Chunyuan Zhang Yuan Wang Meng-tao Ma Qingwei Song 69 1 0 13 Jan 2022
Towards Lightweight Neural Animation : Exploration of Neural Network Pruning in Mixture of Experts-based Animation Models Antoine Maiorca Nathan Hubens S. Laraba Thierry Dutoit 112 3 0 11 Jan 2022
GhostNets on Heterogeneous Devices via Cheap Operations Kai Han Yunhe Wang Chang Xu Jianyuan Guo Chunjing Xu Enhua Wu Qi Tian 78 108 0 10 Jan 2022
Glance and Focus Networks for Dynamic Visual Recognition Gao Huang Yulin Wang Kangchen Lv Haojun Jiang Wenhui Huang Pengfei Qi S. Song 3DH 150 50 0 09 Jan 2022
Compressing Models with Few Samples: Mimicking then Replacing Huanyu Wang Junjie Liu Xin Ma Yang Yong Z. Chai Jianxin Wu VLM OffRL 64 14 0 07 Jan 2022
Problem-dependent attention and effort in neural networks with applications to image resolution and model selection Chris Rohlfs 81 4 0 05 Jan 2022
Single-Shot Pruning for Offline Reinforcement Learning Samin Yeasar Arnob Riyasat Ohib Sergey Plis Doina Precup OffRL 67 25 0 31 Dec 2021
Data-Free Knowledge Transfer: A Survey Yuang Liu Wei Zhang Jun Wang Jianyong Wang 119 48 0 31 Dec 2021
Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques JunKyu Lee L. Mukhanov A. S. Molahosseini U. Minhas Yang Hua Jesus Martinez del Rincon K. Dichev Cheol-Ho Hong Hans Vandierendonck 86 31 0 30 Dec 2021
Speedup deep learning models on GPU by taking advantage of efficient unstructured pruning and bit-width reduction Marcin Pietroñ Dominik Zurek 52 13 0 28 Dec 2021
RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality Xiaohan Ding Honghao Chen Xinming Zhang Jungong Han Guiguang Ding 84 74 0 21 Dec 2021
LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision Rui Han Qinglong Zhang C. Liu Guoren Wang Jian Tang L. Chen 75 45 0 18 Dec 2021
An Experimental Study of the Impact of Pre-training on the Pruning of a Convolutional Neural Network Nathan Hubens M. Mancas B. Gosselin Marius Preda T. Zaharia VLM CVBM 56 8 0 15 Dec 2021
Decomposing the Deep: Finding Class Specific Filters in Deep CNNs Akshay Badola Cherian Roy V. Padmanabhan R. Lal FAtt 55 2 0 14 Dec 2021
SNF: Filter Pruning via Searching the Proper Number of Filters Pengkun Liu Yaru Yue Yanjun Guo Xingxiang Tao Xiaoguang Zhou 3DPC 49 0 0 14 Dec 2021
DGL-GAN: Discriminator Guided Learning for GAN Compression Yuesong Tian Li Shen Xiang Tian Dacheng Tao Zhifeng Li Wei Liu Yao-wu Chen 118 0 0 13 Dec 2021
Network Compression via Central Filter Y. Duan Xiaofang Hu Yue Zhou Qiang Liu Shukai Duan 3DPC 74 1 0 10 Dec 2021
i-SpaSP: Structured Neural Pruning via Sparse Signal Recovery Cameron R. Wolfe Anastasios Kyrillidis 55 1 0 07 Dec 2021
Finding Deviated Behaviors of the Compressed DNN Models for Image Classifications Yongqiang Tian Wuqi Zhang Ming Wen Shing-Chi Cheung Chengnian Sun Shiqing Ma Yu Jiang 86 7 0 06 Dec 2021
Challenges and Opportunities in Approximate Bayesian Deep Learning for Intelligent IoT Systems Meet P. Vadera Benjamin M. Marlin UQCV BDL 35 5 0 03 Dec 2021
Putting 3D Spatially Sparse Networks on a Diet Junha Lee Chris Choy Jaesik Park 3DV 82 3 0 02 Dec 2021
Batch Normalization Tells You Which Filter is Important Junghun Oh Heewon Kim Sungyong Baik Chee Hong Kyoung Mu Lee CVBM 81 8 0 02 Dec 2021
Temporally Resolution Decrement: Utilizing the Shape Consistency for Higher Computational Efficiency Tianshu Xie Xuan Cheng Minghui Liu Jiali Deng Xiaomin Wang Meilin Liu SupR 42 1 0 02 Dec 2021
Event Neural Networks Matthew Dutson Yin Li M. Gupta 110 8 0 02 Dec 2021
Information Theoretic Representation Distillation Roy Miles Adrian Lopez-Rodriguez K. Mikolajczyk MQ 103 22 0 01 Dec 2021
Optimizing for In-memory Deep Learning with Emerging Memory Technology Zhehui Wang Yaoyu Zhang Rick Siow Mong Goh Wei Zhang Weng-Fai Wong 48 1 0 01 Dec 2021
Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models Tri Dao Beidi Chen Kaizhao Liang Jiaming Yang Zhao Song Atri Rudra Christopher Ré 133 79 0 30 Nov 2021
A Unified Pruning Framework for Vision Transformers Hao Yu Jianxin Wu ViT 61 63 0 30 Nov 2021
MAPLE: Microprocessor A Priori for Latency Estimation Saad Abbasi Alexander Wong M. Shafiee 73 12 0 30 Nov 2021
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration Yifan Gong Geng Yuan Zheng Zhan Wei Niu Zhengang Li ... Sijia Liu Bin Ren Xue Lin Xulong Tang Yanzhi Wang 66 10 0 22 Nov 2021
Plant ñ' Seek: Can You Find the Winning Ticket? Jonas Fischer R. Burkholz 81 21 0 22 Nov 2021
Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression Yuezhou Sun Wenlong Zhao Lijun Zhang Xiao Liu Hui Guan Matei A. Zaharia 77 0 0 19 Nov 2021
DICE: Leveraging Sparsification for Out-of-Distribution Detection Yiyou Sun Yixuan Li OODD 162 163 0 18 Nov 2021
Automatic Neural Network Pruning that Efficiently Preserves the Model Accuracy Thibault Castells Seul-Ki Yeom 3DV 70 3 0 18 Nov 2021
Neuron-based Pruning of Deep Neural Networks with Better Generalization using Kronecker Factored Curvature Approximation Abdolghani Ebrahimi Diego Klabjan 31 4 0 16 Nov 2021
Self-Compression in Bayesian Neural Networks Giuseppina Carannante Dimah Dera Ghulam Rasool N. Bouaynaya UQCV BDL 76 5 0 10 Nov 2021
Efficient Neural Network Training via Forward and Backward Propagation Sparsification Xiao Zhou Weizhong Zhang Zonghao Chen Shizhe Diao Tong Zhang 99 46 0 10 Nov 2021
Leveraging the Graph Structure of Neural Network Training Dynamics Fatemeh Vahedian Ruiyu Li Puja Trivedi Di Jin Danai Koutra AI4CE GNN 56 3 0 09 Nov 2021
A Survey on Green Deep Learning Jingjing Xu Wangchunshu Zhou Zhiyi Fu Hao Zhou Lei Li VLM 203 84 0 08 Nov 2021
AUTOKD: Automatic Knowledge Distillation Into A Student Architecture Family Roy Henha Eyono Fabio Maria Carlucci P. Esperança Binxin Ru Phillip Torr 66 3 0 05 Nov 2021
Oracle Teacher: Leveraging Target Information for Better Knowledge Distillation of CTC Models J. Yoon H. Kim Hyeon Seung Lee Sunghwan Ahn N. Kim 62 1 0 05 Nov 2021
Neural network is heterogeneous: Phase matters more Yuqi Nie Hui Yuan 112 3 0 03 Nov 2021
How I Learned to Stop Worrying and Love Retraining Max Zimmer Christoph Spiegel Sebastian Pokutta CLL 94 9 0 01 Nov 2021
RMNet: Equivalently Removing Residual Connection from Networks Fanxu Meng Hao Cheng Jia-Xin Zhuang Ke Li Xing Sun 48 11 0 01 Nov 2021
Holistic Deep Learning Dimitris Bertsimas Kimberly Villalobos Carballo L. Boussioux M. Li Alex Paskov I. Paskov 66 2 0 29 Oct 2021