Pruning Filters for Efficient ConvNets

31 August 2016

Hao Li

Papers citing "Pruning Filters for Efficient ConvNets"

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Title
Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion Mingbao Lin Bohong Chen Rongrong Ji Rongrong Ji VLM 45 23 0 14 Jul 2021
Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classification Irma van den Brandt F. Fok B. Mulders Joaquin Vanschoren Veronika Cheplygina 36 4 0 13 Jul 2021
Data-Driven Low-Rank Neural Network Compression D. Papadimitriou Swayambhoo Jain BDL 29 3 0 13 Jul 2021
LANA: Latency Aware Network Acceleration Pavlo Molchanov Jimmy Hall Hongxu Yin Jan Kautz Nicolò Fusi Arash Vahdat 40 10 0 12 Jul 2021
Blending Pruning Criteria for Convolutional Neural Networks Wei He Zhongzhan Huang Mingfu Liang Senwei Liang Haizhao Yang CVBM 25 14 0 11 Jul 2021
Model compression as constrained optimization, with application to neural nets. Part V: combining compressions Miguel Á. Carreira-Perpiñán Yerlan Idelbayev 50 6 0 09 Jul 2021
Structured Model Pruning of Convolutional Networks on Tensor Processing Units Kongtao Chen Ken Franko Ruoxin Sang CVBM 11 59 0 09 Jul 2021
Weight Reparametrization for Budget-Aware Network Pruning Robin Dupont H. Sahbi Guillaume Michel 31 1 0 08 Jul 2021
Challenges for machine learning in clinical translation of big data imaging studies Nicola K. Dinsdale Emma Bluemke V. Sundaresan M. Jenkinson Stephen Smith Ana I. L. Namburete AI4CE 50 42 0 07 Jul 2021
Connectivity Matters: Neural Network Pruning Through the Lens of Effective Sparsity Artem Vysogorets Julia Kempe 55 19 0 05 Jul 2021
One-Cycle Pruning: Pruning ConvNets Under a Tight Training Budget Nathan Hubens M. Mancas B. Gosselin Marius Preda T. Zaharia 39 8 0 05 Jul 2021
CHISEL: Compression-Aware High-Accuracy Embedded Indoor Localization with Deep Learning Liping Wang Saideep Tiku S. Pasricha 48 32 0 02 Jul 2021
ResIST: Layer-Wise Decomposition of ResNets for Distributed Training Chen Dun Cameron R. Wolfe C. Jermaine Anastasios Kyrillidis 41 21 0 02 Jul 2021
Dep- $L_0$ : Improving $L_0$ -based Network Sparsification via Dependency Modeling Yang Li Shihao Ji 18 1 0 30 Jun 2021
Content-Aware Convolutional Neural Networks Yong Guo Yaofo Chen Mingkui Tan Kui Jia Jian Chen Jingdong Wang 41 9 0 30 Jun 2021
AdaptCL: Efficient Collaborative Learning with Dynamic and Adaptive Pruning Guangmeng Zhou Ke Xu Qi Li Yang Liu Yi Zhao 29 8 0 27 Jun 2021
Sparse Flows: Pruning Continuous-depth Models Lucas Liebenwein Ramin Hasani Alexander Amini Daniela Rus 37 16 0 24 Jun 2021
Knowledge Distillation via Instance-level Sequence Learning Haoran Zhao Xin Sun Junyu Dong Zihe Dong Qiong Li 36 23 0 21 Jun 2021
Cogradient Descent for Dependable Learning Runqi Wang Baochang Zhang Lian Zhuo QiXiang Ye David Doermann 28 0 0 20 Jun 2021
CompConv: A Compact Convolution Module for Efficient Feature Learning Chen Zhang Yinghao Xu Yujun Shen VLM SSL 19 10 0 19 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 50 112 0 19 Jun 2021
A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness James Diffenderfer Brian Bartoldson Shreya Chaganti Jize Zhang B. Kailkhura OOD 36 69 0 16 Jun 2021
Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better Gaurav Menghani VLM MedIm 28 367 0 16 Jun 2021
Efficient Micro-Structured Weight Unification and Pruning for Neural Network Compression Sheng Lin Wei Jiang Wei Wang Kaidi Xu Yanzhi Wang Shan Liu Songnan Li 25 1 0 15 Jun 2021
Direction is what you need: Improving Word Embedding Compression in Large Language Models Klaudia Bałazy Mohammadreza Banaei R. Lebret Jacek Tabor Karl Aberer 40 6 0 15 Jun 2021
BoolNet: Minimizing The Energy Consumption of Binary Neural Networks Nianhui Guo Joseph Bethge Haojin Yang Kai Zhong Xuefei Ning Christoph Meinel Yu Wang MQ 29 11 0 13 Jun 2021
ModelDiff: Testing-Based DNN Similarity Comparison for Model Reuse Detection Yan Liang Ziqi Zhang Bingyan Liu Ziyue Yang Yunxin Liu 33 53 0 11 Jun 2021
DECORE: Deep Compression with Reinforcement Learning Manoj Alwani Yang Wang Vashisht Madhavan AI4CE 18 42 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 91 73 0 10 Jun 2021
AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange Liang Zeng Jin Xu Zijun Yao Yanqiao Zhu Jian Li 43 1 0 10 Jun 2021
Ex uno plures: Splitting One Model into an Ensemble of Subnetworks Zhilu Zhang Vianne R. Gao M. Sabuncu UQCV 55 6 0 09 Jun 2021
Handcrafted Backdoors in Deep Neural Networks Sanghyun Hong Nicholas Carlini Alexey Kurakin 36 73 0 08 Jun 2021
Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks Melih Barsbey Romain Chor Murat A. Erdogdu Gaël Richard Umut Simsekli 34 41 0 07 Jun 2021
FedNILM: Applying Federated Learning to NILM Applications at the Edge Yu Zhang Guoming Tang Qianyi Huang Yi Wang Kui Wu Keping Yu 25 65 0 07 Jun 2021
Zero-Shot Knowledge Distillation from a Decision-Based Black-Box Model Zehao Wang 19 43 0 07 Jun 2021
Self-Damaging Contrastive Learning Ziyu Jiang Tianlong Chen Bobak J. Mortazavi Zhangyang Wang CLL 30 69 0 06 Jun 2021
Feature Flow Regularization: Improving Structured Sparsity in Deep Neural Networks Yue Wu Yuan Lan Luchan Zhang Yang Xiang 30 6 0 05 Jun 2021
Dynamic Resolution Network Mingjian Zhu Kai Han Enhua Wu Qiulin Zhang Ying Nie Zhenzhong Lan Yunhe Wang OOD 42 49 0 05 Jun 2021
Patch Slimming for Efficient Vision Transformers Yehui Tang Kai Han Yunhe Wang Chang Xu Jianyuan Guo Chao Xu Dacheng Tao ViT 41 163 0 05 Jun 2021
RED : Looking for Redundancies for Data-Free Structured Compression of Deep Neural Networks Edouard Yvinec Arnaud Dapogny Matthieu Cord Kévin Bailly CVBM 27 20 0 31 May 2021
1xN Pattern for Pruning Convolutional Neural Networks Mingbao Lin Yu-xin Zhang Yuchao Li Bohong Chen Rongrong Ji Mengdi Wang Shen Li Yonghong Tian Rongrong Ji 3DPC 38 40 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 34 24 0 27 May 2021
Joint-DetNAS: Upgrade Your Detector with NAS, Pruning and Dynamic Distillation Lewei Yao Renjie Pi Hang Xu Wei Zhang Zhenguo Li Tong Zhang 91 38 0 27 May 2021
Search Spaces for Neural Model Training Darko Stosic Dusan Stosic 28 4 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 27 10 0 26 May 2021
Towards Compact CNNs via Collaborative Compression Yuchao Li Shaohui Lin Jianzhuang Liu QiXiang Ye Mengdi Wang Rongrong Ji Fan Yang Jincheng Ma Qi Tian Rongrong Ji 3DV 40 88 0 24 May 2021
AirNet: Neural Network Transmission over the Air Mikolaj Jankowski Deniz Gunduz K. Mikolajczyk 81 1 0 24 May 2021
Denoising Noisy Neural Networks: A Bayesian Approach with Compensation Yulin Shao Soung Chang Liew Deniz Gunduz 69 14 0 22 May 2021
Compressing Deep CNNs using Basis Representation and Spectral Fine-tuning M. Tayyab Fahad A Khan Abhijit Mahalanobis 3DPC 18 1 0 21 May 2021
A Probabilistic Approach to Neural Network Pruning Xin-Yao Qian Diego Klabjan 75 17 0 20 May 2021