Pruning Filters for Efficient ConvNets

31 August 2016

Hao Li

Papers citing "Pruning Filters for Efficient ConvNets"

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Title
Differentiable Feature Aggregation Search for Knowledge Distillation Yushuo Guan Pengyu Zhao Bingxuan Wang Yuanxing Zhang Cong Yao Kaigui Bian Jian Tang FedML 27 44 0 02 Aug 2020
Ultra-light deep MIR by trimming lottery tickets P. Esling Théis Bazin Adrien Bitton Tristan Carsault Ninon Devis 10 2 0 31 Jul 2020
Diet deep generative audio models with structured lottery P. Esling Ninon Devis Adrien Bitton Antoine Caillon Axel Chemla-Romeu-Santos Constance Douwes 24 6 0 31 Jul 2020
AR-Net: Adaptive Frame Resolution for Efficient Action Recognition Yue Meng Chung-Ching Lin Yikang Shen P. Sattigeri Leonid Karlinsky A. Oliva Kate Saenko Rogerio Feris 23 141 0 31 Jul 2020
Growing Efficient Deep Networks by Structured Continuous Sparsification Xin Yuan Pedro H. P. Savarese Michael Maire 3DPC 9 45 0 30 Jul 2020
Hierarchical Action Classification with Network Pruning Mahdi Davoodikakhki KangKang Yin 36 19 0 30 Jul 2020
Fully Dynamic Inference with Deep Neural Networks Wenhan Xia Hongxu Yin Xiaoliang Dai N. Jha 3DH BDL 34 39 0 29 Jul 2020
Real-time CNN-based Segmentation Architecture for Ball Detection in a Single View Setup Gabriel Van Zandycke Christophe De Vleeschouwer 18 13 0 23 Jul 2020
Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks Ting-Wu Chin Ari S. Morcos Diana Marculescu 31 10 0 23 Jul 2020
Differentiable Joint Pruning and Quantization for Hardware Efficiency Ying Wang Yadong Lu Tijmen Blankevoort MQ 30 72 0 20 Jul 2020
ThriftyNets : Convolutional Neural Networks with Tiny Parameter Budget Guillaume Coiffier G. B. Hacene Vincent Gripon 32 2 0 20 Jul 2020
Learning Sparse Filters in Deep Convolutional Neural Networks with a l1/l2 Pseudo-Norm Anthony Berthelier Yongzhe Yan Thierry Chateau C. Blanc S. Duffner Christophe Garcia 23 8 0 20 Jul 2020
OccamNet: A Fast Neural Model for Symbolic Regression at Scale Owen Dugan Rumen Dangovski Allan dos Santos Costa Samuel Kim Pawan Goyal J. Jacobson M. Soljavcić 32 11 0 16 Jul 2020
T-Basis: a Compact Representation for Neural Networks Anton Obukhov M. Rakhuba Stamatios Georgoulis Menelaos Kanakis Dengxin Dai Luc Van Gool 41 27 0 13 Jul 2020
Dynamic Group Convolution for Accelerating Convolutional Neural Networks Z. Su Linpu Fang Wenxiong Kang D. Hu M. Pietikäinen Li Liu 15 44 0 08 Jul 2020
Operation-Aware Soft Channel Pruning using Differentiable Masks Minsoo Kang Bohyung Han AAML 40 139 0 08 Jul 2020
ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting Xiaohan Ding Tianxiang Hao Jianchao Tan Ji Liu Jungong Han Yuchen Guo Guiguang Ding 23 163 0 07 Jul 2020
Enabling On-Device CNN Training by Self-Supervised Instance Filtering and Error Map Pruning Yawen Wu Zhepeng Wang Yiyu Shi Jiaxi Hu 24 44 0 07 Jul 2020
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning Bailin Li Bowen Wu Jiang Su Guangrun Wang Liang Lin 35 174 0 06 Jul 2020
Weight-dependent Gates for Network Pruning Yun Li Zechun Liu Weiqun Wu Haotian Yao Xinming Zhang Chi Zhang B. Yin 31 13 0 04 Jul 2020
DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths Yanwei Fu Chen Liu Donghao Li Xinwei Sun Jinshan Zeng Yuan Yao 22 9 0 04 Jul 2020
Self-Supervised GAN Compression Chong Yu Jeff Pool 9 9 0 03 Jul 2020
Learning to Prune in Training via Dynamic Channel Propagation S. Shen Rongpeng Li Zhifeng Zhao Honggang Zhang Yugeng Zhou 16 4 0 03 Jul 2020
Channel Compression: Rethinking Information Redundancy among Channels in CNN Architecture Jinhua Liang Tao Zhang Guoqing Feng 25 17 0 02 Jul 2020
Go Wide, Then Narrow: Efficient Training of Deep Thin Networks Denny Zhou Mao Ye Chen Chen Tianjian Meng Mingxing Tan Xiaodan Song Quoc V. Le Qiang Liu Dale Schuurmans 14 19 0 01 Jul 2020
Single Shot Structured Pruning Before Training Joost R. van Amersfoort Milad Alizadeh Sebastian Farquhar Nicholas D. Lane Y. Gal 27 22 0 01 Jul 2020
Statistical Mechanical Analysis of Neural Network Pruning Rupam Acharyya Ankani Chattoraj Boyu Zhang Shouman Das Daniel Stefankovic 32 0 0 30 Jun 2020
The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures Yawei Li Wen Li Martin Danelljan Kaixuan Zhang Shuhang Gu Luc Van Gool Radu Timofte 32 18 0 29 Jun 2020
Ramanujan Bipartite Graph Products for Efficient Block Sparse Neural Networks Dharma Teja Vooturi G. Varma Kishore Kothapalli 24 6 0 24 Jun 2020
Principal Component Networks: Parameter Reduction Early in Training R. Waleffe Theodoros Rekatsinas 3DPC 19 9 0 23 Jun 2020
PFGDF: Pruning Filter via Gaussian Distribution Feature for Deep Neural Networks Acceleration Jianrong Xu Boyu Diao Bifeng Cui Kang Yang Chao Li H. Hong 18 4 0 23 Jun 2020
NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks Eugene Lee Chen-Yi Lee 22 14 0 23 Jun 2020
Slimming Neural Networks using Adaptive Connectivity Scores Madan Ravi Ganesh Dawsin Blanchard Jason J. Corso Salimeh Yasaei Sekeh 22 10 0 22 Jun 2020
Neural networks adapting to datasets: learning network size and topology R. Janik A. Nowak AI4CE 14 0 0 22 Jun 2020
Exploiting Weight Redundancy in CNNs: Beyond Pruning and Quantization Yuan Wen David Gregg MQ 8 3 0 22 Jun 2020
Paying more attention to snapshots of Iterative Pruning: Improving Model Compression via Ensemble Distillation Duong H. Le Vo Trung Nhan N. Thoai VLM 33 7 0 20 Jun 2020
Keep Your AI-es on the Road: Tackling Distracted Driver Detection with Convolutional Neural Networks and Targeted Data Augmentation Nikka Mofid Jasmine Bayrooti S. Ravi 20 6 0 19 Jun 2020
FrostNet: Towards Quantization-Aware Network Architecture Search Taehoon Kim Y. Yoo Jihoon Yang MQ 24 2 0 17 Jun 2020
Exploring Sparsity in Image Super-Resolution for Efficient Inference Longguang Wang Xiaoyu Dong Yingqian Wang Xinyi Ying Zaiping Lin W. An Yulan Guo SupR 36 4 0 17 Jun 2020
Cogradient Descent for Bilinear Optimization Lian Zhuo Baochang Zhang Linlin Yang Hanlin Chen QiXiang Ye David Doermann G. Guo Rongrong Ji 20 14 0 16 Jun 2020
Real-time Universal Style Transfer on High-resolution Images via Zero-channel Pruning Jie An Tao Li Haozhi Huang Li Shen Xuan Wang Yongyi Tang Jinwen Ma Wei Liu Jiebo Luo 3DH 3DPC 36 18 0 16 Jun 2020
Now that I can see, I can improve: Enabling data-driven finetuning of CNNs on the edge A. Rajagopal C. Bouganis 11 5 0 15 Jun 2020
Finding trainable sparse networks through Neural Tangent Transfer Tianlin Liu Friedemann Zenke 23 33 0 15 Jun 2020
Optimal Lottery Tickets via SubsetSum: Logarithmic Over-Parameterization is Sufficient Ankit Pensia Shashank Rajput Alliot Nagle Harit Vishwakarma Dimitris Papailiopoulos 24 103 0 14 Jun 2020
Multigrid-in-Channels Architectures for Wide Convolutional Neural Networks Jonathan Ephrath Lars Ruthotto Eran Treister 14 1 0 11 Jun 2020
A Tailored Convolutional Neural Network for Nonlinear Manifold Learning of Computational Physics Data using Unstructured Spatial Discretizations John Tencer Kevin Potter AI4CE 23 13 0 11 Jun 2020
Adjoined Networks: A Training Paradigm with Applications to Network Compression Utkarsh Nath Shrinu Kushagra Yingzhen Yang 32 2 0 10 Jun 2020
Condensing Two-stage Detection with Automatic Object Key Part Discovery Zhe Chen Jing Zhang Dacheng Tao 19 0 0 10 Jun 2020
Deeply Shared Filter Bases for Parameter-Efficient Convolutional Neural Networks Woochul Kang Daeyeon Kim 34 2 0 09 Jun 2020
A Framework for Neural Network Pruning Using Gibbs Distributions Alex Labach S. Valaee 9 5 0 08 Jun 2020