Pruning Filters for Efficient ConvNets

31 August 2016

Hao Li

Papers citing "Pruning Filters for Efficient ConvNets"

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Title
FALCON: Lightweight and Accurate Convolution Jun-Gi Jang Chun Quan Hyun Dong Lee U. Kang 6 1 0 25 Sep 2019
Class-dependent Compression of Deep Neural Networks R. Entezari O. Saukh 21 7 0 23 Sep 2019
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks Zhonghui You Kun Yan Jinmian Ye Meng Ma Ping Wang 3DPC 19 246 0 18 Sep 2019
Ensemble Knowledge Distillation for Learning Improved and Efficient Networks Umar Asif Jianbin Tang S. Harrer FedML 27 75 0 17 Sep 2019
Differentiable Mask for Pruning Convolutional and Recurrent Networks R. Ramakrishnan Eyyub Sari V. Nia VLM 40 15 0 10 Sep 2019
VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep Residual Networks Shuang Gao Xin Liu Lung-Sheng Chien William Zhang J. Álvarez VLM 3DPC 24 15 0 10 Sep 2019
Understanding the Effects of Pre-Training for Object Detectors via Eigenspectrum Yosuke Shinya E. Simo-Serra Taiji Suzuki 19 12 0 09 Sep 2019
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices Xiaolong Ma Fu-Ming Guo Wei Niu Xue Lin Jian Tang Kaisheng Ma Bin Ren Yanzhi Wang CVBM 27 173 0 06 Sep 2019
Auxiliary Learning for Deep Multi-task Learning Yifan Liu Bohan Zhuang Chunhua Shen Hao Chen Wei Yin MoE 33 10 0 05 Sep 2019
Knowledge Distillation for End-to-End Person Search Bharti Munjal Fabio Galasso S. Amin FedML 48 15 0 03 Sep 2019
PSDNet and DPDNet: Efficient channel expansion, Depthwise-Pointwise-Depthwise Inverted Bottleneck Block Guoqing Li Meng Zhang Qianru Zhang Ziyang Chen Wenzhao Liu Jiaojie Li Xuzhao Shen Jian Li Zhenyu Zhu Chau Yuen 23 5 0 03 Sep 2019
Defeating Misclassification Attacks Against Transfer Learning Bang Wu Shuo Wang Xingliang Yuan Cong Wang Carsten Rudolph Xiangwen Yang AAML 24 6 0 29 Aug 2019
Image Captioning with Sparse Recurrent Neural Network J. Tan Chee Seng Chan Joon Huang Chuah VLM 29 6 0 28 Aug 2019
Convolutional Recurrent Neural Network Based Progressive Learning for Monaural Speech Enhancement Andong Li Minmin Yuan C. Zheng Xiaodong Li 19 8 0 28 Aug 2019
DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures Huanrui Yang W. Wen H. Li 16 96 0 27 Aug 2019
Adaptative Inference Cost With Convolutional Neural Mixture Models Adria Ruiz Jakob Verbeek VLM 30 22 0 19 Aug 2019
Bayesian Optimized 1-Bit CNNs Jiaxin Gu Junhe Zhao Xiaolong Jiang Baochang Zhang Jianzhuang Liu G. Guo Rongrong Ji BDL MQ 17 56 0 17 Aug 2019
Improved Techniques for Training Adaptive Deep Networks Hao Li Hong Zhang Xiaojuan Qi Ruigang Yang Gao Huang 22 132 0 17 Aug 2019
Deep Sparse Band Selection for Hyperspectral Face Recognition Fariborz Taherkhani J. Dawson Nasser M. Nasrabadi CVBM 20 11 0 15 Aug 2019
Neural Plasticity Networks Yongqian Li Shihao Ji 20 1 0 13 Aug 2019
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks Xiaohan Ding Yuchen Guo Guiguang Ding Jiawei Han 31 662 0 11 Aug 2019
HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions Duo Li Aojun Zhou Anbang Yao 21 39 0 11 Aug 2019
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations Bohan Zhuang Jing Liu Mingkui Tan Lingqiao Liu Ian Reid Chunhua Shen MQ 29 45 0 10 Aug 2019
Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Chaithanya Kumar Mummadi Tim Genewein Dan Zhang Thomas Brox Volker Fischer 32 3 0 09 Aug 2019
Efficient Inference of CNNs via Channel Pruning Boyu Zhang A. Davoodi Y. Hu CVBM 19 6 0 08 Aug 2019
Architecture-aware Network Pruning for Vision Quality Applications Wei-Ting Wang Han Li Wei-Shiang Lin Cheng-Ming Chiang Yi-Min Tsai 13 2 0 05 Aug 2019
Memory- and Communication-Aware Model Compression for Distributed Deep Learning Inference on IoT Kartikeya Bhardwaj Chingyi Lin A. L. Sartor R. Marculescu GNN 29 51 0 26 Jul 2019
Real-Time Correlation Tracking via Joint Model Compression and Transfer Ning Wang Wen-gang Zhou Yibing Song Chao Ma Houqiang Li VOT 26 41 0 23 Jul 2019
Highlight Every Step: Knowledge Distillation via Collaborative Teaching Haoran Zhao Xin Sun Junyu Dong Changrui Chen Zihe Dong 27 57 0 23 Jul 2019
MemNet: Memory-Efficiency Guided Neural Architecture Search with Augment-Trim learning Peiye Liu Bo Wu Huadong Ma Mingoo Seok 28 6 0 22 Jul 2019
Light Multi-segment Activation for Model Compression Zhenhui Xu Guolin Ke Jia Zhang Jiang Bian Tie-Yan Liu 19 2 0 16 Jul 2019
An Inter-Layer Weight Prediction and Quantization for Deep Neural Networks based on a Smoothly Varying Weight Hypothesis Kang-Ho Lee Joonhyun Jeong Sung-Ho Bae 24 4 0 16 Jul 2019
Bringing Giant Neural Networks Down to Earth with Unlabeled Data Yehui Tang Shan You Chang Xu Boxin Shi Chao Xu 24 11 0 13 Jul 2019
Dual Dynamic Inference: Enabling More Efficient, Adaptive and Controllable Deep Inference Yue Wang Jianghao Shen Ting-Kuei Hu Pengfei Xu T. Nguyen Richard Baraniuk Zhangyang Wang Yingyan Lin 24 75 0 10 Jul 2019
Data-Independent Neural Pruning via Coresets Ben Mussay Margarita Osadchy Vladimir Braverman Samson Zhou Dan Feldman 8 60 0 09 Jul 2019
A Targeted Acceleration and Compression Framework for Low bit Neural Networks Biao Qian Yang Wang MQ 35 0 0 09 Jul 2019
Exploiting Prunability for Person Re-Identification Hugo Masson Amran Bhuiyan Le Thanh Nguyen-Meidine Mehrsan Javan P. Siva Ismail Ben Ayed Eric Granger 27 8 0 04 Jul 2019
Non-Structured DNN Weight Pruning -- Is It Beneficial in Any Platform? Xiaolong Ma Sheng Lin Shaokai Ye Zhezhi He Linfeng Zhang ... Deliang Fan Xuehai Qian Xinyu Lin Kaisheng Ma Yanzhi Wang MQ 29 92 0 03 Jul 2019
Neuron ranking -- an informed way to condense convolutional neural networks architecture Kamil Adamczewski Mijung Park FAtt 18 2 0 03 Jul 2019
Weight Normalization based Quantization for Deep Neural Network Compression Wenhong Cai Wu-Jun Li 24 14 0 01 Jul 2019
NetTailor: Tuning the Architecture, Not Just the Weights Pedro Morgado Nuno Vasconcelos MQ 30 29 0 29 Jun 2019
Dissecting Pruned Neural Networks Jonathan Frankle David Bau 11 8 0 29 Jun 2019
Importance Estimation for Neural Network Pruning Pavlo Molchanov Arun Mallya Stephen Tyree I. Frosio Jan Kautz 3DPC 42 859 0 25 Jun 2019
COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning Wenxiao Wang Cong Fu Jishun Guo Deng Cai Xiaofei He VLM 24 71 0 25 Jun 2019
Filter Early, Match Late: Improving Network-Based Visual Place Recognition Stephen Hausler A. Jacobson Michael Milford 27 17 0 21 Jun 2019
Progressive Gradient Pruning for Classification, Detection and DomainAdaptation Le Thanh Nguyen-Meidine Eric Granger M. Kiran Louis-Antoine Blais-Morin M. Pedersoli VLM 13 2 0 20 Jun 2019
A One-step Pruning-recovery Framework for Acceleration of Convolutional Neural Networks Dong Wang Lei Zhou Xiao Bai Jun Zhou 14 2 0 18 Jun 2019
Scalable Model Compression by Entropy Penalized Reparameterization Deniz Oktay Johannes Ballé Saurabh Singh Abhinav Shrivastava 27 42 0 15 Jun 2019
Towards Compact and Robust Deep Neural Networks Vikash Sehwag Shiqi Wang Prateek Mittal Suman Jana AAML 35 40 0 14 Jun 2019
Parameterized Structured Pruning for Deep Neural Networks Günther Schindler Wolfgang Roth Franz Pernkopf Holger Froening 26 6 0 12 Jun 2019