More is Less: A More Complicated Network with Less Inference Complexity

25 March 2017

Xuanyi Dong

Junshi Huang

Yi Yang

Shuicheng Yan

ArXiv PDF HTML

Papers citing "More is Less: A More Complicated Network with Less Inference Complexity"

41 / 41 papers shown

Title
Hadamard product in deep learning: Introduction, Advances and Challenges Grigorios G. Chrysos Yongtao Wu Razvan Pascanu Philip Torr V. Cevher AAML 98 0 0 17 Apr 2025
Pick-or-Mix: Dynamic Channel Sampling for ConvNets Ashish Kumar Daneul Kim Jaesik Park Laxmidhar Behera 44 1 0 16 Jun 2024
Training Large Language Models Efficiently with Sparsity and Dataflow V. Srinivasan Darshan Gandhi Urmish Thakker R. Prabhakar MoE 33 6 0 11 Apr 2023
Adaptive Rotated Convolution for Rotated Object Detection Yifan Pu Yiru Wang Zhuofan Xia Yizeng Han Yulin Wang Weihao Gan Zidong Wang S. Song Gao Huang 23 76 0 14 Mar 2023
Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning Yingchun Wang Song Guo Jingcai Guo Weizhan Zhang Yi Tian Xu Jiewei Zhang Yi Liu 21 17 0 07 Dec 2022
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models Muyang Li Ji Lin Chenlin Meng Stefano Ermon Song Han Jun-Yan Zhu DiffM 37 45 0 03 Nov 2022
Latency-aware Spatial-wise Dynamic Networks Yizeng Han Zhihang Yuan Yifan Pu Chenhao Xue S. Song Guangyu Sun Gao Huang 52 25 0 12 Oct 2022
Spatial Pruned Sparse Convolution for Efficient 3D Object Detection Jianhui Liu Yukang Chen Xiaoqing Ye Zhuotao Tian Xiao Tan Xiaojuan Qi 3DPC 125 33 0 28 Sep 2022
A Novel Neuromorphic Processors Realization of Spiking Deep Reinforcement Learning for Portfolio Management Amir Saeidi Forouzan Fallah Soroush Barmaki Hamed Farbeh 27 11 0 26 Mar 2022
Mixture-of-Rookies: Saving DNN Computations by Predicting ReLU Outputs D. Pinto J. Arnau Antonio González 31 1 0 10 Feb 2022
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 25 26 0 16 Dec 2021
Low-rank Tensor Decomposition for Compression of Convolutional Neural Networks Using Funnel Regularization Bo-Shiuan Chu Che-Rung Lee 26 11 0 07 Dec 2021
Self-supervised Feature-Gate Coupling for Dynamic Network Pruning Mengnan Shi Chang-rui Liu Jianbin Jiao QiXiang Ye 32 1 0 29 Nov 2021
Class-Discriminative CNN Compression Yuchen Liu D. Wentzlaff S. Kung 26 1 0 21 Oct 2021
PnP-DETR: Towards Efficient Visual Analysis with Transformers Tao Wang Li Yuan Yunpeng Chen Jiashi Feng Shuicheng Yan ViT 24 82 0 15 Sep 2021
Tensor Methods in Computer Vision and Deep Learning Yannis Panagakis Jean Kossaifi Grigorios G. Chrysos James Oldfield M. Nicolaou Anima Anandkumar S. Zafeiriou 27 119 0 07 Jul 2021
Dual-side Sparse Tensor Core Yang-Feng Wang Chen Zhang Zhiqiang Xie Cong Guo Yunxin Liu Jingwen Leng 20 74 0 20 May 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 150 675 0 24 Jan 2021
FreezeNet: Full Performance by Reduced Storage Costs Paul Wimmer Jens Mehnert A. P. Condurache 25 13 0 28 Nov 2020
SCOP: Scientific Control for Reliable Neural Network Pruning Yehui Tang Yunhe Wang Yixing Xu Dacheng Tao Chunjing Xu Chao Xu Chang Xu AAML 50 166 0 21 Oct 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
Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey Jiayi Liu S. Tripathi Unmesh Kurup Mohak Shah 3DPC MedIm 27 52 0 08 May 2020
Computation on Sparse Neural Networks: an Inspiration for Future Hardware Fei Sun Minghai Qin Tianyun Zhang Liu Liu Yen-kuang Chen Yuan Xie 31 7 0 24 Apr 2020
DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation Xuefei Ning Tianchen Zhao Wenshuo Li Peng Lei Yu Wang Huazhong Yang 24 103 0 05 Apr 2020
Dynamic Region-Aware Convolution Jin Chen Xijun Wang Zichao Guo Xinming Zhang Jian Sun 18 116 0 27 Mar 2020
Resource-Efficient Neural Networks for Embedded Systems Wolfgang Roth Günther Schindler Lukas Pfeifenberger Robert Peharz Sebastian Tschiatschek Holger Fröning Franz Pernkopf Zoubin Ghahramani 34 47 0 07 Jan 2020
S2DNAS:Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search Zhihang Yuan Bingzhe Wu Zheng Liang Shiwan Zhao Weichen Bi Guangyu Sun 25 30 0 16 Nov 2019
Searching for A Robust Neural Architecture in Four GPU Hours Xuanyi Dong Yezhou Yang 20 646 0 10 Oct 2019
Cascaded Projection: End-to-End Network Compression and Acceleration Breton L. Minnehan Andreas E. Savakis 16 26 0 12 Mar 2019
HSD-CNN: Hierarchically self decomposing CNN architecture using class specific filter sensitivity analysis Kasanagottu Sairam J. Mukherjee A. Patra P. Das 19 5 0 11 Nov 2018
Dynamic Channel Pruning: Feature Boosting and Suppression Xitong Gao Yiren Zhao L. Dudziak Robert D. Mullins Chengzhong Xu 33 311 0 12 Oct 2018
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition Chun-Fu Chen Quanfu Fan Neil Rohit Mallinar Tom Sercu Rogerio Feris 20 96 0 10 Jul 2018
Auto Deep Compression by Reinforcement Learning Based Actor-Critic Structure Hamed Hakkak OffRL AI4CE 15 1 0 08 Jul 2018
Channel Gating Neural Networks Weizhe Hua Yuan Zhou Christopher De Sa Zhiru Zhang G. E. Suh 15 180 0 29 May 2018
Style Aggregated Network for Facial Landmark Detection Xuanyi Dong Yan Yan Wanli Ouyang Yi Yang CVBM 3DH 15 303 0 12 Mar 2018
Compressing Neural Networks using the Variational Information Bottleneck Bin Dai Chen Zhu David Wipf MLT 26 178 0 28 Feb 2018
Recurrent Residual Module for Fast Inference in Videos Bowen Pan Wuwei Lin Xiaolin Fang Chaoqin Huang Bolei Zhou Cewu Lu ObjD 25 33 0 27 Feb 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices Yihui He Ji Lin Zhijian Liu Hanrui Wang Li-Jia Li Song Han 33 1,340 0 10 Feb 2018
Learning to Prune Filters in Convolutional Neural Networks Qiangui Huang S. Kevin Zhou Suya You Ulrich Neumann VLM 28 177 0 23 Jan 2018
SkipNet: Learning Dynamic Routing in Convolutional Networks Xin Wang Feng Yu Zi-Yi Dou Trevor Darrell Joseph E. Gonzalez 33 625 0 26 Nov 2017
Bayesian Compression for Deep Learning Christos Louizos Karen Ullrich Max Welling UQCV BDL 23 479 0 24 May 2017