Pruning Filters for Efficient ConvNets

31 August 2016

Hao Li

Papers citing "Pruning Filters for Efficient ConvNets"

50 / 399 papers shown

Title
Improve Convolutional Neural Network Pruning by Maximizing Filter Variety Nathan Hubens M. Mancas B. Gosselin Marius Preda T. Zaharia 11 2 0 11 Mar 2022
Data-Efficient Structured Pruning via Submodular Optimization Marwa El Halabi Suraj Srinivas Simon Lacoste-Julien 13 18 0 09 Mar 2022
Update Compression for Deep Neural Networks on the Edge Bo Chen A. Bakhshi Gustavo E. A. P. A. Batista Brian Ng Tat-Jun Chin 16 17 0 09 Mar 2022
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks Xin Yu Thiago Serra Srikumar Ramalingam Shandian Zhe 34 48 0 09 Mar 2022
Structured Pruning is All You Need for Pruning CNNs at Initialization Yaohui Cai Weizhe Hua Hongzheng Chen G. E. Suh Christopher De Sa Zhiru Zhang CVBM 33 14 0 04 Mar 2022
Symmetric Convolutional Filters: A Novel Way to Constrain Parameters in CNN Harish Agrawal T. Sumana S. Nandy 9 0 0 26 Feb 2022
Extracting Effective Subnetworks with Gumbel-Softmax Robin Dupont M. Alaoui H. Sahbi A. Lebois 6 6 0 25 Feb 2022
Distilled Neural Networks for Efficient Learning to Rank F. M. Nardini Cosimo Rulli Salvatore Trani Rossano Venturini FedML 16 16 0 22 Feb 2022
HRel: Filter Pruning based on High Relevance between Activation Maps and Class Labels C. Sarvani Mrinmoy Ghorai S. Dubey S. H. Shabbeer Basha VLM 26 37 0 22 Feb 2022
Finding Dynamics Preserving Adversarial Winning Tickets Xupeng Shi Pengfei Zheng Adam Ding Yuan Gao Weizhong Zhang AAML 18 1 0 14 Feb 2022
Deadwooding: Robust Global Pruning for Deep Neural Networks Sawinder Kaur Ferdinando Fioretto Asif Salekin 11 4 0 10 Feb 2022
Quantization in Layer's Input is Matter Daning Cheng Wenguang Chen MQ 11 0 0 10 Feb 2022
Membership Inference Attacks and Defenses in Neural Network Pruning Xiaoyong Yuan Lan Zhang AAML 8 44 0 07 Feb 2022
Accelerating DNN Training with Structured Data Gradient Pruning Bradley McDanel Helia Dinh J. Magallanes 4 7 0 01 Feb 2022
Signing the Supermask: Keep, Hide, Invert Nils Koster O. Grothe Achim Rettinger 23 10 0 31 Jan 2022
On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning Hanhan Zhou Tian-Shing Lan Guru Venkataramani Wenbo Ding FedML 24 6 0 27 Jan 2022
Auto-Compressing Subset Pruning for Semantic Image Segmentation Konstantin Ditschuneit Johannes Otterbach 11 5 0 26 Jan 2022
Iterative Activation-based Structured Pruning Kaiqi Zhao Animesh Jain Ming Zhao 31 0 0 22 Jan 2022
Enabling Deep Learning on Edge Devices through Filter Pruning and Knowledge Transfer Kaiqi Zhao Yitao Chen Ming Zhao 20 3 0 22 Jan 2022
MetaV: A Meta-Verifier Approach to Task-Agnostic Model Fingerprinting Xudong Pan Yifan Yan Mi Zhang Min Yang 11 23 0 19 Jan 2022
Pruning-aware Sparse Regularization for Network Pruning Nanfei Jiang Xu Zhao Chaoyang Zhao Yongqi An Ming Tang Jinqiao Wang 3DPC 8 12 0 18 Jan 2022
Recursive Least Squares for Training and Pruning Convolutional Neural Networks Tianzong Yu Chunyuan Zhang Yuan Wang Meng-tao Ma Qingwei Song 22 1 0 13 Jan 2022
Glance and Focus Networks for Dynamic Visual Recognition Gao Huang Yulin Wang Kangchen Lv Haojun Jiang Wenhui Huang Pengfei Qi S. Song 3DH 68 49 0 09 Jan 2022
Problem-dependent attention and effort in neural networks with applications to image resolution and model selection Chris Rohlfs 14 4 0 05 Jan 2022
RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality Xiaohan Ding Honghao Chen X. Zhang Jungong Han Guiguang Ding 17 71 0 21 Dec 2021
LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision Rui Han Qinglong Zhang C. Liu Guoren Wang Jian Tang L. Chen 8 43 0 18 Dec 2021
An Experimental Study of the Impact of Pre-training on the Pruning of a Convolutional Neural Network Nathan Hubens M. Mancas B. Gosselin Marius Preda T. Zaharia VLM CVBM 13 8 0 15 Dec 2021
Batch Normalization Tells You Which Filter is Important Junghun Oh Heewon Kim Sungyong Baik Chee Hong Kyoung Mu Lee CVBM 16 8 0 02 Dec 2021
Optimizing for In-memory Deep Learning with Emerging Memory Technology Zhehui Wang Tao Luo Rick Siow Mong Goh Wei Zhang Weng-Fai Wong 13 1 0 01 Dec 2021
Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models Tri Dao Beidi Chen Kaizhao Liang Jiaming Yang Zhao-quan Song Atri Rudra Christopher Ré 25 75 0 30 Nov 2021
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration Yifan Gong Geng Yuan Zheng Zhan Wei Niu Zhengang Li ... Sijia Liu Bin Ren Xue Lin Xulong Tang Yanzhi Wang 18 10 0 22 Nov 2021
Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression Yuezhou Sun Wenlong Zhao Lijun Zhang Xiao Liu Hui Guan Matei A. Zaharia 21 0 0 19 Nov 2021
Automatic Neural Network Pruning that Efficiently Preserves the Model Accuracy Thibault Castells Seul-Ki Yeom 3DV 16 3 0 18 Nov 2021
Self-Compression in Bayesian Neural Networks Giuseppina Carannante Dimah Dera Ghulam Rasool N. Bouaynaya UQCV BDL 28 5 0 10 Nov 2021
Efficient Neural Network Training via Forward and Backward Propagation Sparsification Xiao Zhou Weizhong Zhang Zonghao Chen Shizhe Diao Tong Zhang 24 46 0 10 Nov 2021
Leveraging the Graph Structure of Neural Network Training Dynamics Fatemeh Vahedian Ruiyu Li Puja Trivedi Di Jin Danai Koutra AI4CE GNN 19 3 0 09 Nov 2021
Oracle Teacher: Leveraging Target Information for Better Knowledge Distillation of CTC Models J. Yoon H. Kim Hyeon Seung Lee Sunghwan Ahn N. Kim 26 1 0 05 Nov 2021
Gabor filter incorporated CNN for compression Akihiro Imamura N. Arizumi CVBM 20 2 0 29 Oct 2021
Revisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme Shaojie Li Jie Wu Xuefeng Xiao Fei Chao Xudong Mao Rongrong Ji 19 35 0 27 Oct 2021
CHIP: CHannel Independence-based Pruning for Compact Neural Networks Yang Sui Miao Yin Yi Xie Huy Phan S. Zonouz Bo Yuan VLM 14 127 0 26 Oct 2021
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes Sanghyun Hong Michael-Andrei Panaitescu-Liess Yigitcan Kaya Tudor Dumitras MQ 47 13 0 26 Oct 2021
Reconstructing Pruned Filters using Cheap Spatial Transformations Roy Miles K. Mikolajczyk 19 0 0 25 Oct 2021
Instance-Conditional Knowledge Distillation for Object Detection Zijian Kang Peizhen Zhang X. Zhang Jian-jun Sun N. Zheng 14 76 0 25 Oct 2021
Lottery Tickets with Nonzero Biases Jonas Fischer Advait Gadhikar R. Burkholz 6 6 0 21 Oct 2021
Class-Discriminative CNN Compression Yuchen Liu D. Wentzlaff S. Kung 24 1 0 21 Oct 2021
SMOF: Squeezing More Out of Filters Yields Hardware-Friendly CNN Pruning Yanli Liu Bochen Guan Qinwen Xu Weiyi Li Shuxue Quan 19 2 0 21 Oct 2021
Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks Yikai Wang Yi Yang Fuchun Sun Anbang Yao MQ 18 15 0 18 Oct 2021
S-Cyc: A Learning Rate Schedule for Iterative Pruning of ReLU-based Networks Shiyu Liu Chong Min John Tan Mehul Motani CLL 21 4 0 17 Oct 2021
Neural Network Pruning Through Constrained Reinforcement Learning Shehryar Malik Muhammad Umair Haider O. Iqbal M. Taj 18 0 0 16 Oct 2021
A Unified Speaker Adaptation Approach for ASR Yingzhu Zhao Chongjia Ni C. Leung Shafiq R. Joty Chng Eng Siong B. Ma CLL 90 9 0 16 Oct 2021