Pruning Filters for Efficient ConvNets

31 August 2016

Hao Li

Papers citing "Pruning Filters for Efficient ConvNets"

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Title
Content-adaptive Representation Learning for Fast Image Super-resolution Yukai Shi Jinghui Qin SupR 36 0 0 20 May 2021
Single-Layer Vision Transformers for More Accurate Early Exits with Less Overhead Arian Bakhtiarnia Qi Zhang Alexandros Iosifidis 46 35 0 19 May 2021
Troubleshooting Blind Image Quality Models in the Wild Zhihua Wang Haotao Wang Tianlong Chen Zhangyang Wang Kede Ma 20 19 0 14 May 2021
BWCP: Probabilistic Learning-to-Prune Channels for ConvNets via Batch Whitening Wenqi Shao Hang Yu Zhaoyang Zhang Hang Xu Zhenguo Li Ping Luo AAML 17 2 0 13 May 2021
Model Pruning Based on Quantified Similarity of Feature Maps Zidu Wang Xue-jun Liu Long Huang Yuxiang Chen Yufei Zhang Zhikang Lin Rui Wang 21 16 0 13 May 2021
Compatibility-aware Heterogeneous Visual Search Rahul Duggal Hao Zhou Shuo Yang Yuanjun Xiong Wei Xia Zhuowen Tu Stefano Soatto 54 24 0 13 May 2021
Dynamical Isometry: The Missing Ingredient for Neural Network Pruning Huan Wang Can Qin Yue Bai Y. Fu 21 5 0 12 May 2021
Leveraging Sparse Linear Layers for Debuggable Deep Networks Eric Wong Shibani Santurkar Aleksander Madry FAtt 27 89 0 11 May 2021
EZCrop: Energy-Zoned Channels for Robust Output Pruning R. Lin Jie Ran Dongpeng Wang King Hung Chiu Ngai Wong 24 6 0 08 May 2021
Optimising Resource Management for Embedded Machine Learning Lei Xun Long Tran-Thanh Bashir M. Al-Hashimi G. Merrett 28 12 0 08 May 2021
Network Pruning That Matters: A Case Study on Retraining Variants Duong H. Le Binh-Son Hua 47 41 0 07 May 2021
Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods Jary Pomponi Simone Scardapane A. Uncini UQCV 49 7 0 06 May 2021
Encoding Weights of Irregular Sparsity for Fixed-to-Fixed Model Compression Baeseong Park S. Kwon Daehwan Oh Byeongwook Kim Dongsoo Lee 45 4 0 05 May 2021
Effective Sparsification of Neural Networks with Global Sparsity Constraint Xiao Zhou Weizhong Zhang Hang Xu Tong Zhang 26 62 0 03 May 2021
Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity Saeed Vahidian Mahdi Morafah Bill Lin 69 58 0 02 May 2021
Stealthy Backdoors as Compression Artifacts Yulong Tian Fnu Suya Fengyuan Xu David Evans 58 22 0 30 Apr 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety Sebastian Houben Stephanie Abrecht Maram Akila Andreas Bär Felix Brockherde ... Serin Varghese Michael Weber Sebastian J. Wirkert Tim Wirtz Matthias Woehrle AAML 18 58 0 29 Apr 2021
3D Scene Compression through Entropy Penalized Neural Representation Functions Thomas Bird Johannes Ballé Saurabh Singh P. Chou 41 30 0 26 Apr 2021
Width Transfer: On the (In)variance of Width Optimization Ting-Wu Chin Diana Marculescu Ari S. Morcos 29 3 0 24 Apr 2021
Carrying out CNN Channel Pruning in a White Box Yuxin Zhang Mingbao Lin Chia-Wen Lin Jie Chen Feiyue Huang Yongjian Wu Yonghong Tian Rongrong Ji VLM 39 58 0 24 Apr 2021
Do All MobileNets Quantize Poorly? Gaining Insights into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-scale Distributional Dynamics S. Yun Alexander Wong MQ 32 25 0 24 Apr 2021
Unsupervised Information Obfuscation for Split Inference of Neural Networks Mohammad Samragh H. Hosseini Aleksei Triastcyn K. Azarian Joseph B. Soriaga F. Koushanfar 30 11 0 23 Apr 2021
Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning Arian Bakhtiarnia Qi Zhang Alexandros Iosifidis 62 12 0 21 Apr 2021
Distilling Knowledge via Knowledge Review Pengguang Chen Shu Liu Hengshuang Zhao Jiaya Jia 155 428 0 19 Apr 2021
Lottery Jackpots Exist in Pre-trained Models Yuxin Zhang Mingbao Lin Yan Wang Rongrong Ji Rongrong Ji 35 15 0 18 Apr 2021
High Performance Convolution Using Sparsity and Patterns for Inference in Deep Convolutional Neural Networks Hossam Amer Ahmed H. Salamah A. Sajedi En-Hui Yang 19 6 0 16 Apr 2021
AsymmNet: Towards ultralight convolution neural networks using asymmetrical bottlenecks Haojin Yang Zhengdi Shen Yucheng Zhao 27 10 0 15 Apr 2021
All-You-Can-Fit 8-Bit Flexible Floating-Point Format for Accurate and Memory-Efficient Inference of Deep Neural Networks Cheng-Wei Huang Tim-Wei Chen Juinn-Dar Huang MQ 27 6 0 15 Apr 2021
Data-Free Knowledge Distillation with Soft Targeted Transfer Set Synthesis Zehao Wang 31 30 0 10 Apr 2021
CondenseNet V2: Sparse Feature Reactivation for Deep Networks Le Yang Haojun Jiang Ruojin Cai Yulin Wang Shiji Song Gao Huang Qi Tian DD 30 64 0 09 Apr 2021
Combined Depth Space based Architecture Search For Person Re-identification Hanjun Li Gaojie Wu Weishi Zheng 3DPC 50 105 0 09 Apr 2021
Convolutional Neural Network Pruning with Structural Redundancy Reduction Zehao Wang Chengcheng Li Xiangyang Wang 3DPC 36 157 0 08 Apr 2021
Content-Aware GAN Compression Yuchen Liu Zhixin Shu Yijun Li Zhe Lin Federico Perazzi S. Kung GAN 40 58 0 06 Apr 2021
Tight Compression: Compressing CNN Through Fine-Grained Pruning and Weight Permutation for Efficient Implementation Xizi Chen Jingyang Zhu Jingbo Jiang Chi-Ying Tsui 21 12 0 03 Apr 2021
Anytime Dense Prediction with Confidence Adaptivity Zhuang Liu Zhiqiu Xu H. Wang Trevor Darrell Evan Shelhamer 19 19 0 01 Apr 2021
Fast DCTTS: Efficient Deep Convolutional Text-to-Speech M. Kang Jihyun Lee Simin Kim Injung Kim 22 6 0 01 Apr 2021
Anchor Pruning for Object Detection Maxim Bonnaerens Matthias Anton Freiberger J. Dambre ObjD 3DPC 6 14 0 01 Apr 2021
Bit-Mixer: Mixed-precision networks with runtime bit-width selection Adrian Bulat Georgios Tzimiropoulos MQ 35 27 0 31 Mar 2021
SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events Li Xu He Huang Jun Liu ViT LRM 22 83 0 29 Mar 2021
Dynamic Domain Adaptation for Efficient Inference Shuang Li Jinming Zhang Wen-hui Ma Chi Harold Liu Wei Li 29 12 0 26 Mar 2021
DNN Quantization with Attention G. B. Hacene Lukas Mauch Stefan Uhlich Fabien Cardinaux MQ 14 2 0 24 Mar 2021
Dynamic Slimmable Network Changlin Li Guangrun Wang Bing Wang Xiaodan Liang Zhihui Li Xiaojun Chang 34 143 0 24 Mar 2021
Compacting Deep Neural Networks for Internet of Things: Methods and Applications Ke Zhang Hanbo Ying Hongning Dai Lin Li Yuangyuang Peng Keyi Guo Hongfang Yu 37 38 0 20 Mar 2021
Toward Compact Deep Neural Networks via Energy-Aware Pruning Seul-Ki Yeom Kyung-Hwan Shim Jee-Hyun Hwang CVBM 40 12 0 19 Mar 2021
Cascade Weight Shedding in Deep Neural Networks: Benefits and Pitfalls for Network Pruning K. Azarian Fatih Porikli CVBM 34 0 0 19 Mar 2021
Scalable Vision Transformers with Hierarchical Pooling Zizheng Pan Bohan Zhuang Jing Liu Haoyu He Jianfei Cai ViT 35 127 0 19 Mar 2021
CDFI: Compression-Driven Network Design for Frame Interpolation Tianyu Ding Luming Liang Zhihui Zhu Ilya Zharkov 32 93 0 18 Mar 2021
Quantitative Performance Assessment of CNN Units via Topological Entropy Calculation Yang Zhao Hao Zhang 34 7 0 17 Mar 2021
Recent Advances on Neural Network Pruning at Initialization Huan Wang Can Qin Yue Bai Yulun Zhang Yun Fu CVBM 49 64 0 11 Mar 2021
Quantization-Guided Training for Compact TinyML Models Sedigh Ghamari Koray Ozcan Thu Dinh A. Melnikov Juan Carvajal Jan Ernst S. Chai MQ 26 16 0 10 Mar 2021