Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications

20 November 2015

Papers citing "Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications"

50 / 151 papers shown

Title
Layer Folding: Neural Network Depth Reduction using Activation Linearization Amir Ben Dror Niv Zehngut Avraham Raviv E. Artyomov Ran Vitek R. Jevnisek 34 20 0 17 Jun 2021
Marginalizable Density Models D. Gilboa Ari Pakman Thibault Vatter BDL 32 5 0 08 Jun 2021
Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting Y. Xu G. G. Calvi Danilo P. Mandic AI4TS 24 11 0 11 May 2021
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy Debesh Jha Nikhil Kumar Tomar Sharib Ali Michael A. Riegler Haavard D. Johansen Dag Johansen Thomas de Lange P. Halvorsen 25 54 0 22 Apr 2021
RingCNN: Exploiting Algebraically-Sparse Ring Tensors for Energy-Efficient CNN-Based Computational Imaging Chao-Tsung Huang 42 10 0 19 Apr 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
Toward Compact Deep Neural Networks via Energy-Aware Pruning Seul-Ki Yeom Kyung-Hwan Shim Jee-Hyun Hwang CVBM 32 12 0 19 Mar 2021
Revisiting Dynamic Convolution via Matrix Decomposition Yunsheng Li Yinpeng Chen Xiyang Dai Mengchen Liu Dongdong Chen Ye Yu Lu Yuan Zicheng Liu Mei Chen Nuno Vasconcelos 32 67 0 15 Mar 2021
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead Maurizio Capra Beatrice Bussolino Alberto Marchisio Guido Masera Maurizio Martina Mohamed Bennai BDL 59 140 0 21 Dec 2020
Low-Complexity Models for Acoustic Scene Classification Based on Receptive Field Regularization and Frequency Damping Khaled Koutini Florian Henkel Hamid Eghbalzadeh Gerhard Widmer 24 9 0 05 Nov 2020
Impact of Thermal Throttling on Long-Term Visual Inference in a CPU-based Edge Device Théo Benoit-Cattin Delia Velasco-Montero Jorge Fernández-Berni 19 26 0 13 Oct 2020
S3NAS: Fast NPU-aware Neural Architecture Search Methodology Jaeseong Lee Duseok Kang S. Ha 35 10 0 04 Sep 2020
Transform Quantization for CNN (Convolutional Neural Network) Compression Sean I. Young Wang Zhe David S. Taubman B. Girod MQ 36 69 0 02 Sep 2020
Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network Anh-Huy Phan Konstantin Sobolev Konstantin Sozykin Dmitry Ermilov Julia Gusak P. Tichavský Valeriy Glukhov Ivan Oseledets A. Cichocki BDL 27 129 0 12 Aug 2020
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference Menelaos Kanakis David Brüggemann Suman Saha Stamatios Georgoulis Anton Obukhov Luc Van Gool CLL 30 72 0 24 Jul 2020
MCUNet: Tiny Deep Learning on IoT Devices Ji Lin Wei-Ming Chen Chengyue Wu J. Cohn Chuang Gan Song Han 87 478 0 20 Jul 2020
Overcomplete order-3 tensor decomposition, blind deconvolution and Gaussian mixture models Haolin Chen Luis Rademacher 29 3 0 16 Jul 2020
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning Shauharda Khadka Estelle Aflalo Mattias Marder Avrech Ben-David Santiago Miret Shie Mannor Tamir Hazan Hanlin Tang Somdeb Majumdar GNN 32 11 0 14 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
Multi-Head Attention: Collaborate Instead of Concatenate Jean-Baptiste Cordonnier Andreas Loukas Martin Jaggi 6 108 0 29 Jun 2020
Principal Component Networks: Parameter Reduction Early in Training R. Waleffe Theodoros Rekatsinas 3DPC 19 9 0 23 Jun 2020
ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network David Gschwend 35 64 0 14 May 2020
DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering Qingqing Cao H. Trivedi A. Balasubramanian Niranjan Balasubramanian 34 66 0 02 May 2020
GeneCAI: Genetic Evolution for Acquiring Compact AI Mojan Javaheripi Mohammad Samragh T. Javidi F. Koushanfar 45 9 0 08 Apr 2020
Learned Threshold Pruning K. Azarian Yash Bhalgat Jinwon Lee Tijmen Blankevoort MQ 28 38 0 28 Feb 2020
HOTCAKE: Higher Order Tucker Articulated Kernels for Deeper CNN Compression R. Lin Ching-Yun Ko Zhuolun He Cong Chen Yuan Cheng Hao Yu G. Chesi Ngai Wong 39 6 0 28 Feb 2020
Convolutional Tensor-Train LSTM for Spatio-temporal Learning Jiahao Su Wonmin Byeon Jean Kossaifi Furong Huang Jan Kautz Anima Anandkumar AI4TS 19 119 0 21 Feb 2020
Filter Sketch for Network Pruning Mingbao Lin Liujuan Cao Shaojie Li QiXiang Ye Yonghong Tian Jianzhuang Liu Q. Tian Rongrong Ji CLIP 3DPC 31 82 0 23 Jan 2020
Compression of descriptor models for mobile applications Roy Miles K. Mikolajczyk 3DV 11 2 0 09 Jan 2020
PreVIous: A Methodology for Prediction of Visual Inference Performance on IoT Devices Delia Velasco-Montero Jorge Fernández-Berni R. Carmona-Galán Á. Rodríguez-Vázquez 30 21 0 13 Dec 2019
Compositional Hierarchical Tensor Factorization: Representing Hierarchical Intrinsic and Extrinsic Causal Factors M. Alex O. Vasilescu E. Kim CoGe CVBM 23 12 0 11 Nov 2019
Decomposable-Net: Scalable Low-Rank Compression for Neural Networks A. Yaguchi Taiji Suzuki Shuhei Nitta Y. Sakata A. Tanizawa 19 9 0 29 Oct 2019
Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks Yihui He Jianing Qian Jianren Wang Cindy X. Le Congrui Hetang Qi Lyu Wenping Wang Tianwei Yue 50 11 0 21 Oct 2019
Deep Semantic Segmentation of Natural and Medical Images: A Review Saeid Asgari Taghanaki Kumar Abhishek Joseph Paul Cohen Julien Cohen-Adad Ghassan Hamarneh SSeg VLM 45 668 0 16 Oct 2019
Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing En Li Liekang Zeng Zhi Zhou Xu Chen 12 616 0 04 Oct 2019
XNOR-Net++: Improved Binary Neural Networks Adrian Bulat Georgios Tzimiropoulos MQ 39 200 0 30 Sep 2019
Deep Sparse Band Selection for Hyperspectral Face Recognition Fariborz Taherkhani J. Dawson Nasser M. Nasrabadi CVBM 20 11 0 15 Aug 2019
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations Bohan Zhuang Jing Liu Mingkui Tan Lingqiao Liu Ian Reid Chunhua Shen MQ 29 45 0 10 Aug 2019
Recent Advances in Deep Learning for Object Detection Xiongwei Wu Doyen Sahoo Guosheng Lin VLM ObjD 35 800 0 10 Aug 2019
Weight Normalization based Quantization for Deep Neural Network Compression Wenhong Cai Wu-Jun Li 24 14 0 01 Jul 2019
ADA-Tucker: Compressing Deep Neural Networks via Adaptive Dimension Adjustment Tucker Decomposition Zhisheng Zhong Fangyin Wei Zhouchen Lin Chao Zhang 24 29 0 18 Jun 2019
Bayesian Tensorized Neural Networks with Automatic Rank Selection Cole Hawkins Zheng-Wei Zhang BDL 25 52 0 24 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
T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor Jean Kossaifi Adrian Bulat Georgios Tzimiropoulos Maja Pantic 22 67 0 04 Apr 2019
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning Shaohui Lin Rongrong Ji Chenqian Yan Baochang Zhang Liujuan Cao QiXiang Ye Feiyue Huang David Doermann CVBM 22 505 0 22 Mar 2019
All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification Weijie Chen Di Xie Yuan Zhang Shiliang Pu 30 80 0 13 Mar 2019
Cascaded Projection: End-to-End Network Compression and Acceleration Breton L. Minnehan Andreas E. Savakis 21 26 0 12 Mar 2019
Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning Shaohui Lin Rongrong Ji Yuchao Li Cheng Deng Xuelong Li 32 70 0 23 Jan 2019
CodeX: Bit-Flexible Encoding for Streaming-based FPGA Acceleration of DNNs Mohammad Samragh Mojan Javaheripi F. Koushanfar 38 11 0 17 Jan 2019
DAC: Data-free Automatic Acceleration of Convolutional Networks Xin Li Shuai Zhang Bolan Jiang Y. Qi Mooi Choo Choo Chuah N. Bi 21 7 0 20 Dec 2018