v1v2 (latest)

Fast ConvNets Using Group-wise Brain Damage

8 June 2015

Papers citing "Fast ConvNets Using Group-wise Brain Damage"

50 / 211 papers shown

Title
Self-Compression in Bayesian Neural Networks Giuseppina Carannante Dimah Dera Ghulam Rasool N. Bouaynaya UQCV BDL 76 5 0 10 Nov 2021
Neural Network Pruning Through Constrained Reinforcement Learning Shehryar Malik Muhammad Umair Haider O. Iqbal M. Taj 80 0 0 16 Oct 2021
Deep Neural Compression Via Concurrent Pruning and Self-Distillation J. Ó. Neill Sourav Dutta H. Assem VLM 31 5 0 30 Sep 2021
Distribution-sensitive Information Retention for Accurate Binary Neural Network Haotong Qin Xiangguo Zhang Ruihao Gong Yifu Ding Yi Xu Xianglong Liu MQ 71 95 0 25 Sep 2021
Neural network relief: a pruning algorithm based on neural activity Aleksandr Dekhovich David Tax M. Sluiter Miguel A. Bessa 115 11 0 22 Sep 2021
FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update Junyu Luo Jianlei Yang Xucheng Ye Xin Guo Weisheng Zhao FedML 59 14 0 20 Aug 2021
Group Fisher Pruning for Practical Network Compression Liyang Liu Shilong Zhang Zhanghui Kuang Aojun Zhou Jingliang Xue Xinjiang Wang Yimin Chen Wenming Yang Q. Liao Wayne Zhang 95 150 0 02 Aug 2021
Double Similarity Distillation for Semantic Image Segmentation Yingchao Feng Xian Sun Wenhui Diao Jihao Li Xin Gao 48 63 0 19 Jul 2021
A High-Performance Adaptive Quantization Approach for Edge CNN Applications Hsu-Hsun Chin R. Tsay Hsin-I Wu MQ 52 5 0 18 Jul 2021
LANA: Latency Aware Network Acceleration Pavlo Molchanov Jimmy Hall Hongxu Yin Jan Kautz Nicolò Fusi Arash Vahdat 139 10 0 12 Jul 2021
Connectivity Matters: Neural Network Pruning Through the Lens of Effective Sparsity Artem Vysogorets Julia Kempe 107 22 0 05 Jul 2021
Patch Slimming for Efficient Vision Transformers Yehui Tang Kai Han Yunhe Wang Chang Xu Jianyuan Guo Chao Xu Dacheng Tao ViT 97 168 0 05 Jun 2021
$Neural Network Training Using $\ell_1$-Regularization and Bi-fidelity Data$ Neural Network Training Using $\ell_1$ -Regularization and Bi-fidelity Data Subhayan De Alireza Doostan 71 25 0 27 May 2021
Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems Xiaocong Du Bhargav Bhushanam Jiecao Yu Dhruv Choudhary Tianxiang Gao Sherman Wong Louis Feng Jongsoo Park Yu Cao A. Kejariwal 76 7 0 04 May 2021
Learning on Hardware: A Tutorial on Neural Network Accelerators and Co-Processors Lukas Baischer M. Wess N. Taherinejad 85 13 0 19 Apr 2021
High Performance Convolution Using Sparsity and Patterns for Inference in Deep Convolutional Neural Networks Hossam Amer Ahmed H. Salamah A. Sajedi En-Hui Yang 56 6 0 16 Apr 2021
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges Mingzhe Chen Deniz Gündüz Kaibin Huang Walid Saad M. Bennis Aneta Vulgarakis Feljan H. Vincent Poor 136 419 0 05 Apr 2021
CDFI: Compression-Driven Network Design for Frame Interpolation Tianyu Ding Luming Liang Zhihui Zhu Ilya Zharkov 116 99 0 18 Mar 2021
TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning Bingyan Liu Yifeng Cai Yao Guo Xiangqun Chen 69 56 0 02 Mar 2021
Scaling Up Exact Neural Network Compression by ReLU Stability Thiago Serra Xin Yu Abhinav Kumar Srikumar Ramalingam 66 24 0 15 Feb 2021
SeReNe: Sensitivity based Regularization of Neurons for Structured Sparsity in Neural Networks Enzo Tartaglione Andrea Bragagnolo Francesco Odierna Attilio Fiandrotti Marco Grangetto 88 18 0 07 Feb 2021
Deep Model Compression based on the Training History S. H. Shabbeer Basha M. Farazuddin Viswanath Pulabaigari S. Dubey Snehasis Mukherjee VLM 56 18 0 30 Jan 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 240 708 0 24 Jan 2021
Neural Pruning via Growing Regularization Huan Wang Can Qin Yulun Zhang Y. Fu 106 147 0 16 Dec 2020
Model Compression Using Optimal Transport Suhas Lohit Michael J. Jones 71 8 0 07 Dec 2020
Adaptive Dense-to-Sparse Paradigm for Pruning Online Recommendation System with Non-Stationary Data Mao Ye Dhruv Choudhary Jiecao Yu Ellie Wen Zeliang Chen Jiyan Yang Jongsoo Park Qiang Liu A. Kejariwal 66 9 0 16 Oct 2020
Online Knowledge Distillation via Multi-branch Diversity Enhancement Zheng Li Ying Huang Defang Chen Tianren Luo Ning Cai Zhigeng Pan 69 28 0 02 Oct 2020
Pruning Filter in Filter Fanxu Meng Hao Cheng Ke Li Huixiang Luo Xiao-Wei Guo Guangming Lu Xing Sun VLM 83 109 0 30 Sep 2020
Training Sparse Neural Networks using Compressed Sensing Jonathan W. Siegel Jianhong Chen Pengchuan Zhang Jinchao Xu 82 5 0 21 Aug 2020
Data-Independent Structured Pruning of Neural Networks via Coresets Ben Mussay Dan Feldman Samson Zhou Vladimir Braverman Margarita Osadchy 80 26 0 19 Aug 2020
Structured Convolutions for Efficient Neural Network Design Yash Bhalgat Yizhe Zhang J. Lin Fatih Porikli 77 8 0 06 Aug 2020
MeDaS: An open-source platform as service to help break the walls between medicine and informatics Liang Zhang Johann Li Ping Li Xiaoyuan Lu Peiyi Shen Guangming Zhu Syed Afaq Ali Shah Bennamoun Kun Qian Björn W. Schuller MedIm 59 6 0 12 Jul 2020
Dynamic Sampling Networks for Efficient Action Recognition in Videos Yin-Dong Zheng Zhaoyang Liu Tong Lu Limin Wang 77 77 0 28 Jun 2020
Slimming Neural Networks using Adaptive Connectivity Scores Madan Ravi Ganesh Dawsin Blanchard Jason J. Corso Salimeh Yasaei Sekeh 61 11 0 22 Jun 2020
An Overview of Neural Network Compression James OÑeill AI4CE 160 99 0 05 Jun 2020
Shapley Value as Principled Metric for Structured Network Pruning Marco Ancona Cengiz Öztireli Markus Gross 62 9 0 02 Jun 2020
Pruning via Iterative Ranking of Sensitivity Statistics Stijn Verdenius M. Stol Patrick Forré AAML 82 38 0 01 Jun 2020
Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey Jiayi Liu S. Tripathi Unmesh Kurup Mohak Shah 3DPC MedIm 71 52 0 08 May 2020
Out-of-the-box channel pruned networks Ragav Venkatesan Gurumurthy Swaminathan Xiong Zhou Anna Luo 29 0 0 30 Apr 2020
Composition of Saliency Metrics for Channel Pruning with a Myopic Oracle Kaveena Persand Andrew Anderson David Gregg 26 2 0 03 Apr 2020
Binary Neural Networks: A Survey Haotong Qin Ruihao Gong Xianglong Liu Xiao Bai Jingkuan Song N. Sebe MQ 143 475 0 31 Mar 2020
MINT: Deep Network Compression via Mutual Information-based Neuron Trimming Madan Ravi Ganesh Jason J. Corso Salimeh Yasaei Sekeh MQ 104 16 0 18 Mar 2020
CoCoPIE: Making Mobile AI Sweet As PIE --Compression-Compilation Co-Design Goes a Long Way Shaoshan Liu Bin Ren Xipeng Shen Yanzhi Wang 69 18 0 14 Mar 2020
Knowledge distillation via adaptive instance normalization Jing Yang Brais Martínez Adrian Bulat Georgios Tzimiropoulos 60 24 0 09 Mar 2020
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 291 1,058 0 06 Mar 2020
Gradual Channel Pruning while Training using Feature Relevance Scores for Convolutional Neural Networks Sai Aparna Aketi Sourjya Roy A. Raghunathan Kaushik Roy 63 22 0 23 Feb 2020
Communication-Efficient Edge AI: Algorithms and Systems Yuanming Shi Kai Yang Tao Jiang Jun Zhang Khaled B. Letaief GNN 99 334 0 22 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 127 22 0 29 Jan 2020
A "Network Pruning Network" Approach to Deep Model Compression Vinay Kumar Verma Pravendra Singh Vinay P. Namboodiri Piyush Rai 3DPC VLM 50 8 0 15 Jan 2020
Campfire: Compressible, Regularization-Free, Structured Sparse Training for Hardware Accelerators Noah Gamboa Kais Kudrolli Anand Dhoot A. Pedram 33 10 0 09 Jan 2020