Pruning Filters for Efficient ConvNets

31 August 2016

Hao Li

Papers citing "Pruning Filters for Efficient ConvNets"

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Title
Enabling Retrain-free Deep Neural Network Pruning using Surrogate Lagrangian Relaxation Deniz Gurevin Shangli Zhou Lynn Pepin Bingbing Li Mikhail A. Bragin Caiwen Ding Fei Miao 26 3 0 18 Dec 2020
Efficient CNN-LSTM based Image Captioning using Neural Network Compression Harshit Rampal Aman Mohanty VLM 19 4 0 17 Dec 2020
Neural Pruning via Growing Regularization Huan Wang Can Qin Yulun Zhang Y. Fu 46 144 0 16 Dec 2020
A Deep Graph Neural Networks Architecture Design: From Global Pyramid-like Shrinkage Skeleton to Local Topology Link Rewiring Gege Zhang 21 0 0 16 Dec 2020
Robustness and Transferability of Universal Attacks on Compressed Models Alberto G. Matachana Kenneth T. Co Luis Muñoz-González David Martínez Emil C. Lupu AAML 29 10 0 10 Dec 2020
Progressive Network Grafting for Few-Shot Knowledge Distillation Chengchao Shen Xinchao Wang Youtan Yin Mingli Song Sihui Luo Xiuming Zhang 6 47 0 09 Dec 2020
The Role of Regularization in Shaping Weight and Node Pruning Dependency and Dynamics Yael Ben-Guigui Jacob Goldberger Tammy Riklin-Raviv 31 0 0 07 Dec 2020
DiffPrune: Neural Network Pruning with Deterministic Approximate Binary Gates and $L_0$ Regularization Yaniv Shulman 46 3 0 07 Dec 2020
Cross-Layer Distillation with Semantic Calibration Defang Chen Jian-Ping Mei Yuan Zhang Can Wang Yan Feng Chun-Yen Chen FedML 50 289 0 06 Dec 2020
Any-Width Networks Thanh Tien Vu Marc Eder True Price Jan-Michael Frahm 23 8 0 06 Dec 2020
Multi-head Knowledge Distillation for Model Compression Haiquan Wang Suhas Lohit Michael J. Jones Y. Fu 19 5 0 05 Dec 2020
DecisiveNets: Training Deep Associative Memories to Solve Complex Machine Learning Problems Vincent Gripon Carlos Lassance G. B. Hacene 17 0 0 02 Dec 2020
An Once-for-All Budgeted Pruning Framework for ConvNets Considering Input Resolution Wenyu Sun Jian Cao Pengtao Xu Xiangcheng Liu Pu Li 14 0 0 02 Dec 2020
Layer Pruning via Fusible Residual Convolutional Block for Deep Neural Networks Pengtao Xu Jian Cao Fanhua Shang Wenyu Sun Pu Li 3DPC 20 24 0 29 Nov 2020
ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery Dawid Rymarczyk Lukasz Struski Jacek Tabor Bartosz Zieliñski 24 111 0 29 Nov 2020
torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation Yoshitomo Matsubara 11 25 0 25 Nov 2020
Bringing AI To Edge: From Deep Learning's Perspective Di Liu Hao Kong Xiangzhong Luo Weichen Liu Ravi Subramaniam 63 117 0 25 Nov 2020
Auto Graph Encoder-Decoder for Neural Network Pruning Sixing Yu Arya Mazaheri Ali Jannesari GNN 27 38 0 25 Nov 2020
MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning Sen Lin Li Yang Zhezhi He Deliang Fan Junshan Zhang FedML AI4CE 25 5 0 25 Nov 2020
Synthesis and Pruning as a Dynamic Compression Strategy for Efficient Deep Neural Networks Alastair Finlinson S. Moschoyiannis 19 1 0 23 Nov 2020
HAWQV3: Dyadic Neural Network Quantization Z. Yao Zhen Dong Zhangcheng Zheng A. Gholami Jiali Yu ... Leyuan Wang Qijing Huang Yida Wang Michael W. Mahoney Kurt Keutzer MQ 22 87 0 20 Nov 2020
Rethinking Weight Decay For Efficient Neural Network Pruning Hugo Tessier Vincent Gripon Mathieu Léonardon M. Arzel T. Hannagan David Bertrand 36 25 0 20 Nov 2020
MGIC: Multigrid-in-Channels Neural Network Architectures Moshe Eliasof Jonathan Ephrath Lars Ruthotto Eran Treister 48 7 0 17 Nov 2020
Digging Deeper into CRNN Model in Chinese Text Images Recognition Kunhong Yu Yuze Zhang 14 1 0 17 Nov 2020
Advances in the training, pruning and enforcement of shape constraints of Morphological Neural Networks using Tropical Algebra Nikolaos Dimitriadis Petros Maragos 19 9 0 15 Nov 2020
LEAN: graph-based pruning for convolutional neural networks by extracting longest chains R. Schoonhoven A. Hendriksen D. Pelt K. Batenburg 3DPC 22 4 0 13 Nov 2020
Automated Model Compression by Jointly Applied Pruning and Quantization Wenting Tang Xingxing Wei Yue Liu MQ 16 7 0 12 Nov 2020
Effective Model Compression via Stage-wise Pruning Mingyang Zhang Xinyi Yu Jingtao Rong L. Ou SyDa 26 1 0 10 Nov 2020
Neural Network Compression Via Sparse Optimization Tianyi Chen Bo Ji Yixin Shi Tianyu Ding Biyi Fang Sheng Yi Xiao Tu 36 15 0 10 Nov 2020
Channel Pruning Guided by Spatial and Channel Attention for DNNs in Intelligent Edge Computing Mengran Liu Weiwei Fang Xiaodong Ma Wenyuan Xu N. Xiong Qiankun Li AAML 24 21 0 08 Nov 2020
Channel Planting for Deep Neural Networks using Knowledge Distillation Kakeru Mitsuno Yuichiro Nomura Takio Kurita 36 2 0 04 Nov 2020
Filter Pruning using Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks Kakeru Mitsuno Takio Kurita 16 6 0 04 Nov 2020
Paralinguistic Privacy Protection at the Edge Ranya Aloufi Hamed Haddadi David E. Boyle 25 14 0 04 Nov 2020
DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search Yushuo Guan Ning Liu Pengyu Zhao Zhengping Che Kaigui Bian Yanzhi Wang Jian Tang 30 39 0 04 Nov 2020
Methods for Pruning Deep Neural Networks S. Vadera Salem Ameen 3DPC 24 123 0 31 Oct 2020
Fusion-Catalyzed Pruning for Optimizing Deep Learning on Intelligent Edge Devices Guangli Li Xiu Ma Xueying Wang Lei Liu Jingling Xue Xiaobing Feng 33 33 0 30 Oct 2020
Greedy Optimization Provably Wins the Lottery: Logarithmic Number of Winning Tickets is Enough Mao Ye Lemeng Wu Qiang Liu 23 17 0 29 Oct 2020
Permute, Quantize, and Fine-tune: Efficient Compression of Neural Networks Julieta Martinez Jashan Shewakramani Ting Liu Ioan Andrei Bârsan Wenyuan Zeng R. Urtasun MQ 31 30 0 29 Oct 2020
Attribution Preservation in Network Compression for Reliable Network Interpretation Geondo Park J. Yang Sung Ju Hwang Eunho Yang 20 5 0 28 Oct 2020
Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets Kai Han Yunhe Wang Qiulin Zhang Wei Zhang Chunjing Xu Tong Zhang 24 87 0 28 Oct 2020
Robust and Verifiable Information Embedding Attacks to Deep Neural Networks via Error-Correcting Codes Jinyuan Jia Binghui Wang Neil Zhenqiang Gong AAML 44 5 0 26 Oct 2020
Neuron Merging: Compensating for Pruned Neurons Woojeong Kim Suhyun Kim Mincheol Park Geonseok Jeon 30 32 0 25 Oct 2020
MARS: Multi-macro Architecture SRAM CIM-Based Accelerator with Co-designed Compressed Neural Networks Syuan-Hao Sie Jye-Luen Lee Yi-Ren Chen Chih-Cheng Lu C. Hsieh Meng-Fan Chang K. Tang 27 14 0 24 Oct 2020
AutoPruning for Deep Neural Network with Dynamic Channel Masking Baopu Li Yanwen Fan Zhihong Pan Gang Zhang 54 1 0 22 Oct 2020
Adaptive Pixel-wise Structured Sparse Network for Efficient CNNs Chen Tang Wenyu Sun Zhuqing Yuan Yongpan Liu 28 0 0 21 Oct 2020
ApproxDet: Content and Contention-Aware Approximate Object Detection for Mobiles Ran Xu Chen-Da Liu-Zhang Pengcheng Wang Jayoung Lee Subrata Mitra Somali Chaterji Yin Li S. Bagchi 29 58 0 21 Oct 2020
SCOP: Scientific Control for Reliable Neural Network Pruning Yehui Tang Yunhe Wang Yixing Xu Dacheng Tao Chunjing Xu Chao Xu Chang Xu AAML 55 167 0 21 Oct 2020
Softer Pruning, Incremental Regularization Linhang Cai Zhulin An Chuanguang Yang Yongjun Xu 20 17 0 19 Oct 2020
Deep Learning in the Era of Edge Computing: Challenges and Opportunities Mi Zhang Faen Zhang Nicholas D. Lane Yuanchao Shu Xiao Zeng Biyi Fang Shen Yan Hui Xu 19 41 0 17 Oct 2020
Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection W. Thomson Neelanjan Bhowmik T. Breckon 10 18 0 17 Oct 2020