Efficient and Accurate Approximations of Nonlinear Convolutional Networks

16 November 2014

Papers citing "Efficient and Accurate Approximations of Nonlinear Convolutional Networks"

50 / 57 papers shown

Title
Singular Value Scaling: Efficient Generative Model Compression via Pruned Weights Refinement H. Kim Jaejun Yoo 52 0 0 23 Dec 2024
ExtremeMETA: High-speed Lightweight Image Segmentation Model by Remodeling Multi-channel Metamaterial Imagers Quan Liu Brandon T. Swartz Ivan Kravchenko Jason G Valentine Yuankai Huo 38 2 0 27 May 2024
The Road to On-board Change Detection: A Lightweight Patch-Level Change Detection Network via Exploring the Potential of Pruning and Pooling Lihui Xue Zhihao Wang Xueqian Wang Gang Li 45 1 0 16 Oct 2023
CSTAR: Towards Compact and STructured Deep Neural Networks with Adversarial Robustness Huy Phan Miao Yin Yang Sui Bo Yuan S. Zonouz AAML GNN 32 8 0 04 Dec 2022
Improved Projection Learning for Lower Dimensional Feature Maps Ilan Price Jared Tanner 24 3 0 27 Oct 2022
Fast and Low-Memory Deep Neural Networks Using Binary Matrix Factorization Alireza Bordbar M. Kahaei MQ 33 0 0 24 Oct 2022
MiNL: Micro-images based Neural Representation for Light Fields Ziru Xu Henan Wang Zhibo Chen 33 1 0 17 Sep 2022
SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search Zhewen Yu C. Bouganis 37 4 0 22 Aug 2022
Learnable Mixed-precision and Dimension Reduction Co-design for Low-storage Activation Yu-Shan Tai Cheng-Yang Chang Chieh-Fang Teng AnYeu A. Wu 30 5 0 16 Jul 2022
OMAD: On-device Mental Anomaly Detection for Substance and Non-Substance Users Emon Dey Nirmalya Roy 15 5 0 13 Apr 2022
The Efficiency Misnomer Daoyuan Chen Liuyi Yao Dawei Gao Ashish Vaswani Yaliang Li 39 99 0 25 Oct 2021
$On the Compression of Neural Networks Using $\ell_0$-Norm Regularization and Weight Pruning$ On the Compression of Neural Networks Using $\ell_0$ -Norm Regularization and Weight Pruning F. Oliveira E. Batista R. Seara 20 9 0 10 Sep 2021
Lightweight Compression of Intermediate Neural Network Features for Collaborative Intelligence R. Cohen Hyomin Choi Ivan V. Bajić 32 23 0 15 May 2021
Distilling a Powerful Student Model via Online Knowledge Distillation Shaojie Li Mingbao Lin Yan Wang Yongjian Wu Yonghong Tian Ling Shao Rongrong Ji FedML 27 47 0 26 Mar 2021
Compacting Deep Neural Networks for Internet of Things: Methods and Applications Ke Zhang Hanbo Ying Hongning Dai Lin Li Yuangyuang Peng Keyi Guo Hongfang Yu 21 38 0 20 Mar 2021
Neural Pruning via Growing Regularization Huan Wang Can Qin Yulun Zhang Y. Fu 37 144 0 16 Dec 2020
Transform Quantization for CNN (Convolutional Neural Network) Compression Sean I. Young Wang Zhe David S. Taubman B. Girod MQ 29 69 0 02 Sep 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
Principal Component Networks: Parameter Reduction Early in Training R. Waleffe Theodoros Rekatsinas 3DPC 16 9 0 23 Jun 2020
DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering Qingqing Cao H. Trivedi A. Balasubramanian Niranjan Balasubramanian 32 66 0 02 May 2020
MINT: Deep Network Compression via Mutual Information-based Neuron Trimming Madan Ravi Ganesh Jason J. Corso Salimeh Yasaei Sekeh MQ 43 15 0 18 Mar 2020
HRank: Filter Pruning using High-Rank Feature Map Mingbao Lin Rongrong Ji Yan Wang Yichen Zhang Baochang Zhang Yonghong Tian Ling Shao 13 717 0 24 Feb 2020
Lossless Compression of Deep Neural Networks Thiago Serra Abhinav Kumar Srikumar Ramalingam 24 56 0 01 Jan 2020
Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System Ze Yang Linjun Shou Ming Gong Wutao Lin Daxin Jiang 28 92 0 18 Oct 2019
Similarity-Preserving Knowledge Distillation Frederick Tung Greg Mori 43 961 0 23 Jul 2019
Effectiveness of Distillation Attack and Countermeasure on Neural Network Watermarking Ziqi Yang Hung Dang E. Chang AAML 27 34 0 14 Jun 2019
Object Detection in 20 Years: A Survey Zhengxia Zou Keyan Chen Zhenwei Shi Yuhong Guo Jieping Ye VLM ObjD AI4TS 32 2,288 0 13 May 2019
Spatiotemporal Knowledge Distillation for Efficient Estimation of Aerial Video Saliency Jia Li K. Fu Shengwei Zhao Shiming Ge 38 26 0 10 Apr 2019
Cascaded Projection: End-to-End Network Compression and Acceleration Breton L. Minnehan Andreas E. Savakis 18 26 0 12 Mar 2019
CodeX: Bit-Flexible Encoding for Streaming-based FPGA Acceleration of DNNs Mohammad Samragh Mojan Javaheripi F. Koushanfar 32 11 0 17 Jan 2019
Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning Deepak Mittal S. Bhardwaj Mitesh M. Khapra Balaraman Ravindran 3DPC 33 31 0 26 Dec 2018
Reliable Identification of Redundant Kernels for Convolutional Neural Network Compression Wei Wang Liqiang Zhu CVBM 20 13 0 10 Dec 2018
2PFPCE: Two-Phase Filter Pruning Based on Conditional Entropy Chuhan Min Aosen Wang Yiran Chen Wenyao Xu Xin Chen 30 41 0 06 Sep 2018
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design Ningning Ma Xiangyu Zhang Haitao Zheng Jian Sun 51 4,929 0 30 Jul 2018
Learning Strict Identity Mappings in Deep Residual Networks Xin Yu Zhiding Yu Srikumar Ramalingam 14 17 0 05 Apr 2018
The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking Dawei Du Yuankai Qi Hongyang Yu Yi-Fan Yang Kaiwen Duan Guorong Li Feiyu Xiong Qingming Huang Q. Tian 36 650 0 26 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches Md. Zahangir Alom T. Taha C. Yakopcic Stefan Westberg P. Sidike Mst Shamima Nasrin B. Van Essen A. Awwal V. Asari VLM 29 874 0 03 Mar 2018
Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks Deepak Mittal S. Bhardwaj Mitesh M. Khapra Balaraman Ravindran VLM 36 65 0 31 Jan 2018
NISP: Pruning Networks using Neuron Importance Score Propagation Ruichi Yu Ang Li Chun-Fu Chen Jui-Hsin Lai Vlad I. Morariu Xintong Han M. Gao Ching-Yung Lin L. Davis 44 795 0 16 Nov 2017
Dynamic Zoom-in Network for Fast Object Detection in Large Images M. Gao Ruichi Yu Ang Li Vlad I. Morariu L. Davis ObjD 41 129 0 14 Nov 2017
Data-Driven Sparse Structure Selection for Deep Neural Networks Zehao Huang Naiyan Wang 53 558 0 05 Jul 2017
Network Sketching: Exploiting Binary Structure in Deep CNNs Yiwen Guo Anbang Yao Hao Zhao Yurong Chen MQ 37 95 0 07 Jun 2017
Towards thinner convolutional neural networks through Gradually Global Pruning Z. Wang Ce Zhu Zhiqiang Xia Qi Guo Yipeng Liu CVBM 22 4 0 29 Mar 2017
More is Less: A More Complicated Network with Less Inference Complexity Xuanyi Dong Junshi Huang Yi Yang Shuicheng Yan 26 288 0 25 Mar 2017
Building Fast and Compact Convolutional Neural Networks for Offline Handwritten Chinese Character Recognition Xuefeng Xiao Lianwen Jin Yafeng Yang Weixin Yang Jun Sun Tianhai Chang 13 153 0 26 Feb 2017
Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale F. Iandola 3DV 26 18 0 20 Dec 2016
LCNN: Lookup-based Convolutional Neural Network Hessam Bagherinezhad Mohammad Rastegari Ali Farhadi 13 89 0 20 Nov 2016
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El-Yaniv Yoshua Bengio MQ 45 1,846 0 22 Sep 2016
Pruning Filters for Efficient ConvNets Hao Li Asim Kadav Igor Durdanovic H. Samet H. Graf 3DPC 60 3,659 0 31 Aug 2016
Design of Efficient Convolutional Layers using Single Intra-channel Convolution, Topological Subdivisioning and Spatial "Bottleneck" Structure Min Wang Baoyuan Liu H. Foroosh 27 51 0 15 Aug 2016