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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
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 91 77 0 10 Jul 2019
Data-Independent Neural Pruning via Coresets Ben Mussay Margarita Osadchy Vladimir Braverman Samson Zhou Dan Feldman 104 60 0 09 Jul 2019
A Targeted Acceleration and Compression Framework for Low bit Neural Networks Biao Qian Yang Wang MQ 64 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 67 9 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 132 93 0 03 Jul 2019
Neuron ranking -- an informed way to condense convolutional neural networks architecture Kamil Adamczewski Mijung Park FAtt 25 2 0 03 Jul 2019
Weight Normalization based Quantization for Deep Neural Network Compression Wenhong Cai Wu-Jun Li 48 14 0 01 Jul 2019
NetTailor: Tuning the Architecture, Not Just the Weights Pedro Morgado Nuno Vasconcelos MQ 56 29 0 29 Jun 2019
Dissecting Pruned Neural Networks Jonathan Frankle David Bau 44 8 0 29 Jun 2019
Importance Estimation for Neural Network Pruning Pavlo Molchanov Arun Mallya Stephen Tyree I. Frosio Jan Kautz 3DPC 95 888 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 64 72 0 25 Jun 2019
Filter Early, Match Late: Improving Network-Based Visual Place Recognition Stephen Hausler A. Jacobson Michael Milford 54 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 40 3 0 20 Jun 2019
A One-step Pruning-recovery Framework for Acceleration of Convolutional Neural Networks Dong Wang Lei Zhou Xiao Bai Jun Zhou 28 2 0 18 Jun 2019
Scalable Model Compression by Entropy Penalized Reparameterization Deniz Oktay Johannes Ballé Saurabh Singh Abhinav Shrivastava 84 43 0 15 Jun 2019
Towards Compact and Robust Deep Neural Networks Vikash Sehwag Shiqi Wang Prateek Mittal Suman Jana AAML 82 40 0 14 Jun 2019
Parameterized Structured Pruning for Deep Neural Networks Günther Schindler Wolfgang Roth Franz Pernkopf Holger Froening 51 6 0 12 Jun 2019
Pay Attention to Convolution Filters: Towards Fast and Accurate Fine-Grained Transfer Learning Xiangxi Mo Ruizhe Cheng Tianyi Fang 30 3 0 12 Jun 2019
Taxonomy of Saliency Metrics for Channel Pruning Kaveena Persand Andrew Anderson David Gregg 50 7 0 11 Jun 2019
Simultaneously Learning Architectures and Features of Deep Neural Networks T. Wang Lixin Fan Huiling Wang 35 6 0 11 Jun 2019
Weight Agnostic Neural Networks Adam Gaier David R Ha OOD 67 242 0 11 Jun 2019
Associative Convolutional Layers H. Omidvar Vahideh Akhlaghi M. Franceschetti Rajesh K. Gupta 44 1 0 10 Jun 2019
The Generalization-Stability Tradeoff In Neural Network Pruning Brian Bartoldson Ari S. Morcos Adrian Barbu G. Erlebacher 94 76 0 09 Jun 2019
Distilling Object Detectors with Fine-grained Feature Imitation Tao Wang Li-xin Yuan Xiaopeng Zhang Jiashi Feng ObjD 68 385 0 09 Jun 2019
AutoGrow: Automatic Layer Growing in Deep Convolutional Networks W. Wen Feng Yan Yiran Chen H. Li 81 40 0 07 Jun 2019
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers Ari S. Morcos Haonan Yu Michela Paganini Yuandong Tian 83 229 0 06 Jun 2019
Interpretable Neural Network Decoupling Yuchao Li Rongrong Ji Shaohui Lin Baochang Zhang Chenqian Yan Yongjian Wu Feiyue Huang Ling Shao 54 2 0 04 Jun 2019
NodeDrop: A Condition for Reducing Network Size without Effect on Output Louis Jensen Jacob A. Harer S. Chin 25 0 0 03 Jun 2019
Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks Sanghyun Hong Pietro Frigo Yigitcan Kaya Cristiano Giuffrida Tudor Dumitras AAML 71 214 0 03 Jun 2019
Attention Based Pruning for Shift Networks G. B. Hacene Carlos Lassance Vincent Gripon Matthieu Courbariaux Yoshua Bengio 98 25 0 29 May 2019
Online Filter Clustering and Pruning for Efficient Convnets Zhengguang Zhou Wen-gang Zhou Richang Hong Houqiang Li 62 23 0 28 May 2019
Progressive Learning of Low-Precision Networks Zhengguang Zhou Wen-gang Zhou Xutao Lv Xuan Huang Xiaoyu Wang Houqiang Li MQ 53 11 0 28 May 2019
Single-Net Continual Learning with Progressive Segmented Training (PST) Xiaocong Du Gouranga Charan Frank Liu Yu Cao CLL 54 12 0 28 May 2019
Towards Efficient Neural Networks On-a-chip: Joint Hardware-Algorithm Approaches Xiaocong Du Gokul Krishnan Abinash Mohanty Zheng Li Gouranga Charan Yu Cao 20 3 0 28 May 2019
CGaP: Continuous Growth and Pruning for Efficient Deep Learning Xiaocong Du Zheng Li Yu Cao VLM 72 10 0 27 May 2019
Efficient Network Construction through Structural Plasticity Xiaocong Du Zheng Li Yufei Ma Yu Cao 19 12 0 27 May 2019
Equivalent and Approximate Transformations of Deep Neural Networks Abhinav Kumar Thiago Serra Srikumar Ramalingam 97 21 0 27 May 2019
SpecNet: Spectral Domain Convolutional Neural Network Bochen Guan Jinnian Zhang W. Sethares Richard Kijowski Fang Liu MQ 46 12 0 27 May 2019
Locality-Promoting Representation Learning Johannes Schneider 51 2 0 25 May 2019
Are Sixteen Heads Really Better than One? Paul Michel Omer Levy Graham Neubig MoE 120 1,072 0 25 May 2019
ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks C. Duong Khoa Luu Kha Gia Quach Ngan Le CVBM 62 39 0 25 May 2019
Structured Compression by Weight Encryption for Unstructured Pruning and Quantization S. Kwon Dongsoo Lee Byeongwook Kim Parichay Kapoor Baeseong Park Gu-Yeon Wei MQ 74 51 0 24 May 2019
Zero-shot Knowledge Transfer via Adversarial Belief Matching P. Micaelli Amos Storkey 82 230 0 23 May 2019
Adversarially Robust Distillation Micah Goldblum Liam H. Fowl Soheil Feizi Tom Goldstein AAML 87 213 0 23 May 2019
Network Pruning via Transformable Architecture Search Xuanyi Dong Yi Yang 3DPC 81 243 0 23 May 2019
Pruning-Aware Merging for Efficient Multitask Inference Xiaoxi He Dawei Gao Zimu Zhou Yongxin Tong Lothar Thiele MoMe 64 9 0 23 May 2019
Exploring Structural Sparsity of Deep Networks via Inverse Scale Spaces Yanwei Fu Chen Liu Donghao Li Zuyuan Zhong Xinwei Sun Jinshan Zeng Yuan Yao 46 10 0 23 May 2019
DARC: Differentiable ARchitecture Compression Shashank Singh A. Khetan Zohar Karnin AI4CE 53 7 0 20 May 2019
Sparse Transfer Learning via Winning Lottery Tickets Rahul Mehta UQCV 77 45 0 19 May 2019
Dynamic Neural Network Channel Execution for Efficient Training Simeon E. Spasov Pietro Lio 49 4 0 15 May 2019