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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
Path homologies of deep feedforward networks Samir Chowdhury Thomas Gebhart Steve Huntsman Matvey Yutin 55 23 0 16 Oct 2019
A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone Tianchu Guo Yongchao Liu Hui Zhang Xiabing Liu Youngjun Kwak ByungIn Yoo Jae-Joon Han Changkyu Choi 65 38 0 16 Oct 2019
Reduced-Order Modeling of Deep Neural Networks Julia Gusak Talgat Daulbaev E. Ponomarev A. Cichocki Ivan Oseledets BDL AI4CE 51 8 0 15 Oct 2019
Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-based Approach Haichuan Yang Shupeng Gui Yuhao Zhu Ji Liu MQ 71 5 0 14 Oct 2019
Model Fusion via Optimal Transport Sidak Pal Singh Martin Jaggi MoMe FedML 183 241 0 12 Oct 2019
EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM Skanda Koppula Lois Orosa A. G. Yaglikçi Roknoddin Azizi Taha Shahroodi Konstantinos Kanellopoulos O. Mutlu 80 108 0 12 Oct 2019
Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent Dilin Wang Meng Li Lemeng Wu Vikas Chandra Qiang Liu 111 21 0 07 Oct 2019
Splitting Steepest Descent for Growing Neural Architectures Qiang Liu Lemeng Wu Dilin Wang 111 63 0 06 Oct 2019
How does topology influence gradient propagation and model performance of deep networks with DenseNet-type skip connections? Kartikeya Bhardwaj Guihong Li R. Marculescu 58 1 0 02 Oct 2019
Learning Efficient Convolutional Networks through Irregular Convolutional Kernels Weiyu Guo Jiabin Ma Liang Wang Yongzhen Huang 21 5 0 29 Sep 2019
Training convolutional neural networks with cheap convolutions and online distillation Jiao Xie Shaohui Lin Yichen Zhang Linkai Luo 63 12 0 28 Sep 2019
MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution Taojiannan Yang Sijie Zhu Chong Chen Shen Yan Mi Zhang Andrew Willis OOD 79 75 0 27 Sep 2019
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks Xiaohan Ding Guiguang Ding Xiangxin Zhou Yuchen Guo Jungong Han Ji Liu 93 165 0 27 Sep 2019
Pruning from Scratch Yulong Wang Xiaolu Zhang Lingxi Xie Jun Zhou Hang Su Bo Zhang Xiaolin Hu 77 196 0 27 Sep 2019
Extremely Small BERT Models from Mixed-Vocabulary Training Sanqiang Zhao Raghav Gupta Yang Song Denny Zhou VLM 66 53 0 25 Sep 2019
Reducing Transformer Depth on Demand with Structured Dropout Angela Fan Edouard Grave Armand Joulin 130 597 0 25 Sep 2019
CAT: Compression-Aware Training for bandwidth reduction Chaim Baskin Brian Chmiel Evgenii Zheltonozhskii Ron Banner A. Bronstein A. Mendelson MQ 67 12 0 25 Sep 2019
FALCON: Lightweight and Accurate Convolution Jun-Gi Jang Chun Quan Hyun Dong Lee U. Kang 13 1 0 25 Sep 2019
Class-dependent Compression of Deep Neural Networks R. Entezari O. Saukh 76 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 93 252 0 18 Sep 2019
Ensemble Knowledge Distillation for Learning Improved and Efficient Networks Umar Asif Jianbin Tang S. Harrer FedML 88 76 0 17 Sep 2019
Differentiable Mask for Pruning Convolutional and Recurrent Networks R. Ramakrishnan Eyyub Sari V. Nia VLM 82 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 63 15 0 10 Sep 2019
Understanding the Effects of Pre-Training for Object Detectors via Eigenspectrum Yosuke Shinya E. Simo-Serra Taiji Suzuki 48 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 95 180 0 06 Sep 2019
Auxiliary Learning for Deep Multi-task Learning Yifan Liu Bohan Zhuang Chunhua Shen Hao Chen Wei Yin MoE 54 10 0 05 Sep 2019
Knowledge Distillation for End-to-End Person Search Bharti Munjal Fabio Galasso S. Amin FedML 117 17 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 71 5 0 03 Sep 2019
Defeating Misclassification Attacks Against Transfer Learning Bang Wu Shuo Wang Lizhen Qu Cong Wang Carsten Rudolph Xiangwen Yang AAML 75 6 0 29 Aug 2019
Image Captioning with Sparse Recurrent Neural Network J. Tan Chee Seng Chan Joon Huang Chuah VLM 47 6 0 28 Aug 2019
Convolutional Recurrent Neural Network Based Progressive Learning for Monaural Speech Enhancement Andong Li Minmin Yuan C. Zheng Xiaodong Li 35 8 0 28 Aug 2019
DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures Huanrui Yang W. Wen H. Li 92 98 0 27 Aug 2019
Adaptative Inference Cost With Convolutional Neural Mixture Models Adria Ruiz Jakob Verbeek VLM 65 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 55 56 0 17 Aug 2019
Improved Techniques for Training Adaptive Deep Networks Hao Li Hong Zhang Xiaojuan Qi Ruigang Yang Gao Huang 76 134 0 17 Aug 2019
Deep Sparse Band Selection for Hyperspectral Face Recognition Fariborz Taherkhani J. Dawson Nasser M. Nasrabadi CVBM 54 11 0 15 Aug 2019
Neural Plasticity Networks Yongqian Li Shihao Ji 30 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 92 678 0 11 Aug 2019
HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions Duo Li Aojun Zhou Anbang Yao 52 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 99 46 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 53 3 0 09 Aug 2019
Efficient Inference of CNNs via Channel Pruning Boyu Zhang A. Davoodi Y. Hu CVBM 23 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 46 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 63 54 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 65 42 0 23 Jul 2019
Highlight Every Step: Knowledge Distillation via Collaborative Teaching Haoran Zhao Xin Sun Junyu Dong Changrui Chen Zihe Dong 80 59 0 23 Jul 2019
MemNet: Memory-Efficiency Guided Neural Architecture Search with Augment-Trim learning Peiye Liu Bo Wu Huadong Ma Mingoo Seok 71 6 0 22 Jul 2019
Light Multi-segment Activation for Model Compression Zhenhui Xu Guolin Ke Jia Zhang Jiang Bian Tie-Yan Liu 28 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 59 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 85 11 0 13 Jul 2019