Learning Structured Sparsity in Deep Neural Networks

12 August 2016

Yiran Chen

Papers citing "Learning Structured Sparsity in Deep Neural Networks"

50 / 331 papers shown

Title
PCNN: Pattern-based Fine-Grained Regular Pruning towards Optimizing CNN Accelerators Zhanhong Tan Jiebo Song Xiaolong Ma S. Tan Hongyang Chen ... Yifu Wu Shaokai Ye Yanzhi Wang Dehui Li Kaisheng Ma 38 24 0 11 Feb 2020
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild Rahul Duggal Scott Freitas Cao Xiao Duen Horng Chau Jimeng Sun 28 22 0 29 Jan 2020
BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method Xiaolong Ma Zechao Li Yifan Gong Tianyun Zhang Wei Niu ... Pu Zhao Jian Tang X. Lin Bin Ren Yanzhi Wang 28 14 0 23 Jan 2020
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices Xiaolong Ma Wei Niu Tianyun Zhang Sijia Liu Sheng Lin ... Xiang Chen Jian Tang Kaisheng Ma Bin Ren Yanzhi Wang 35 27 0 20 Jan 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
Sparse Weight Activation Training Md Aamir Raihan Tor M. Aamodt 34 73 0 07 Jan 2020
Discrimination-aware Network Pruning for Deep Model Compression Jing Liu Bohan Zhuang Zhuangwei Zhuang Yong Guo Junzhou Huang Jin-Hui Zhu Mingkui Tan CVBM 19 119 0 04 Jan 2020
Lightweight Residual Densely Connected Convolutional Neural Network Fahimeh Fooladgar S. Kasaei 19 13 0 02 Jan 2020
Lossless Compression of Deep Neural Networks Thiago Serra Abhinav Kumar Srikumar Ramalingam 24 56 0 01 Jan 2020
PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning Wei Niu Xiaolong Ma Sheng Lin Shihao Wang Xuehai Qian X. Lin Yanzhi Wang Bin Ren MQ 35 226 0 01 Jan 2020
Structural plasticity on an accelerated analog neuromorphic hardware system Sebastian Billaudelle Benjamin Cramer Mihai A. Petrovici Korbinian Schreiber David Kappel Johannes Schemmel K. Meier 29 21 0 27 Dec 2019
GhostNet: More Features from Cheap Operations Kai Han Yunhe Wang Qi Tian Jianyuan Guo Chunjing Xu Chang Xu 20 2,582 0 27 Nov 2019
S2DNAS:Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search Zhihang Yuan Bingzhe Wu Zheng Liang Shiwan Zhao Weichen Bi Guangyu Sun 27 30 0 16 Nov 2019
Automatic Design of CNNs via Differentiable Neural Architecture Search for PolSAR Image Classification Hongwei Dong Siyu Zhang B. Zou Lamei Zhang 16 47 0 16 Nov 2019
Explainable Artificial Intelligence (XAI) for 6G: Improving Trust between Human and Machine Weisi Guo 30 40 0 11 Nov 2019
On-Device Machine Learning: An Algorithms and Learning Theory Perspective Sauptik Dhar Junyao Guo Jiayi Liu S. Tripathi Unmesh Kurup Mohak Shah 28 141 0 02 Nov 2019
LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference Erwei Wang James J. Davis P. Cheung George A. Constantinides MQ 9 41 0 24 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 48 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 45 667 0 16 Oct 2019
A Pre-defined Sparse Kernel Based Convolution for Deep CNNs Souvik Kundu Saurav Prakash H. Akrami P. Beerel K. Chugg 36 12 0 02 Oct 2019
REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs Caiwen Ding Shuo Wang Ning Liu Kaidi Xu Yanzhi Wang Yun Liang MQ 16 89 0 29 Sep 2019
Reducing Transformer Depth on Demand with Structured Dropout Angela Fan Edouard Grave Armand Joulin 43 584 0 25 Sep 2019
Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks Sekitoshi Kanai Yasutoshi Ida Yasuhiro Fujiwara Masanori Yamada S. Adachi AAML 15 1 0 19 Sep 2019
DASNet: Dynamic Activation Sparsity for Neural Network Efficiency Improvement Qing Yang Jiachen Mao Zuoguan Wang H. Li 13 15 0 13 Sep 2019
Deep Elastic Networks with Model Selection for Multi-Task Learning Chanho Ahn Eunwoo Kim Songhwai Oh 49 49 0 11 Sep 2019
RNN Architecture Learning with Sparse Regularization Jesse Dodge Roy Schwartz Hao Peng Noah A. Smith 20 10 0 06 Sep 2019
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices Xiaolong Ma Fu-Ming Guo Wei Niu Xue Lin Jian Tang Kaisheng Ma Bin Ren Yanzhi Wang CVBM 27 173 0 06 Sep 2019
A Novel Design of Adaptive and Hierarchical Convolutional Neural Networks using Partial Reconfiguration on FPGA Mohammad Farhadi Mehdi Ghasemi Yezhou Yang 19 27 0 05 Sep 2019
Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation Xiaolong Ma Geng Yuan Sheng Lin Caiwen Ding Fuxun Yu Tao Liu Wujie Wen Xiang Chen Yanzhi Wang MQ 12 45 0 27 Aug 2019
Learning Filter Basis for Convolutional Neural Network Compression Yawei Li Shuhang Gu Luc Van Gool Radu Timofte SupR 17 5 0 23 Aug 2019
TabNet: Attentive Interpretable Tabular Learning Sercan Ö. Arik Tomas Pfister LMTD 49 1,283 0 20 Aug 2019
Deep Sparse Band Selection for Hyperspectral Face Recognition Fariborz Taherkhani J. Dawson Nasser M. Nasrabadi CVBM 20 11 0 15 Aug 2019
SlimYOLOv3: Narrower, Faster and Better for Real-Time UAV Applications Pengyi Zhang Yunxin Zhong Xiaoqiong Li 18 198 0 25 Jul 2019
Similarity-Preserving Knowledge Distillation Frederick Tung Greg Mori 43 959 0 23 Jul 2019
Learning sparsity in reservoir computing through a novel bio-inspired algorithm Luca Manneschi Andrew C. Lin Eleni Vasilaki 12 1 0 19 Jul 2019
Bringing Giant Neural Networks Down to Earth with Unlabeled Data Yehui Tang Shan You Chang Xu Boxin Shi Chao Xu 24 11 0 13 Jul 2019
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates Ning Liu Xiaolong Ma Zhiyuan Xu Yanzhi Wang Jian Tang Jieping Ye 40 183 0 06 Jul 2019
Weight Normalization based Quantization for Deep Neural Network Compression Wenhong Cai Wu-Jun Li 16 14 0 01 Jul 2019
GAN-Knowledge Distillation for one-stage Object Detection Wanwei Wang Jin ke Yu Fan Zong ObjD 19 28 0 20 Jun 2019
ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection Zhuo Chen Jiyuan Zhang Ruizhou Ding Diana Marculescu 13 12 0 19 Jun 2019
Parameterized Structured Pruning for Deep Neural Networks Günther Schindler Wolfgang Roth Franz Pernkopf Holger Froening 24 6 0 12 Jun 2019
Distilling Object Detectors with Fine-grained Feature Imitation Tao Wang Li-xin Yuan Xiaopeng Zhang Jiashi Feng ObjD 13 377 0 09 Jun 2019
Butterfly Transform: An Efficient FFT Based Neural Architecture Design Keivan Alizadeh-Vahid Anish K. Prabhu Ali Farhadi Mohammad Rastegari 32 50 0 05 Jun 2019
Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness Adnan Siraj Rakin Zhezhi He Li Yang Yanzhi Wang Liqiang Wang Deliang Fan AAML 40 21 0 30 May 2019
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks Jiashi Li Q. Qi Jingyu Wang Ce Ge Yujian Betterest Li Zhangzhang Yue Haifeng Sun BDL CML 24 53 0 28 May 2019
Walsh-Hadamard Variational Inference for Bayesian Deep Learning Simone Rossi Sébastien Marmin Maurizio Filippone BDL 32 14 0 27 May 2019
Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks Xiaoliang Dai Hongxu Yin N. Jha 33 31 0 27 May 2019
An Information Theoretic Interpretation to Deep Neural Networks Shao-Lun Huang Xiangxiang Xu Lizhong Zheng G. Wornell FAtt 22 41 0 16 May 2019
Dynamic Neural Network Channel Execution for Efficient Training Simeon E. Spasov Pietro Lió 19 4 0 15 May 2019
Training CNNs with Selective Allocation of Channels Jongheon Jeong Jinwoo Shin CVBM 39 15 0 11 May 2019