WRPN: Wide Reduced-Precision Networks

4 September 2017

Papers citing "WRPN: Wide Reduced-Precision Networks"

50 / 50 papers shown

Title
Always-Sparse Training by Growing Connections with Guided Stochastic Exploration Mike Heddes Narayan Srinivasa T. Givargis Alexandru Nicolau 91 0 0 12 Jan 2024
On-Device Learning with Binary Neural Networks Lorenzo Vorabbi Davide Maltoni Stefano Santi MQ 28 4 0 29 Aug 2023
MBQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network Quantization Yunshan Zhong Yuyao Zhou Fei Chao Rongrong Ji MQ 26 1 0 14 May 2023
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of Quantized CNNs A. M. Ribeiro-dos-Santos João Dinis Ferreira O. Mutlu G. Falcão MQ 15 1 0 15 Jan 2023
BiViT: Extremely Compressed Binary Vision Transformer Yefei He Zhenyu Lou Luoming Zhang Jing Liu Weijia Wu Hong Zhou Bohan Zhuang ViT MQ 18 28 0 14 Nov 2022
AskewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks Louis Leconte S. Schechtman Eric Moulines 27 4 0 07 Nov 2022
PIM-QAT: Neural Network Quantization for Processing-In-Memory (PIM) Systems Qing Jin Zhiyu Chen J. Ren Yanyu Li Yanzhi Wang Kai-Min Yang MQ 13 2 0 18 Sep 2022
How important are activation functions in regression and classification? A survey, performance comparison, and future directions Ameya Dilip Jagtap George Karniadakis AI4CE 29 71 0 06 Sep 2022
Mixed-Precision Neural Networks: A Survey M. Rakka M. Fouda Pramod P. Khargonekar Fadi J. Kurdahi MQ 18 11 0 11 Aug 2022
HyBNN and FedHyBNN: (Federated) Hybrid Binary Neural Networks Kinshuk Dua FedML MQ 21 0 0 19 May 2022
Binary Neural Networks as a general-propose compute paradigm for on-device computer vision Guhong Nie Lirui Xiao Menglong Zhu Dongliang Chu Yue-Hong Shen Peng Li Kan Yang Li Du Bo Chen Dji Innovations Inc MQ 31 5 0 08 Feb 2022
VC dimension of partially quantized neural networks in the overparametrized regime Yutong Wang Clayton D. Scott 14 1 0 06 Oct 2021
Smoothed Differential Privacy Ao Liu Yu-Xiang Wang Lirong Xia 20 0 0 04 Jul 2021
How Do Adam and Training Strategies Help BNNs Optimization? Zechun Liu Zhiqiang Shen Shichao Li K. Helwegen Dong Huang Kwang-Ting Cheng ODL MQ 22 82 0 21 Jun 2021
BoolNet: Minimizing The Energy Consumption of Binary Neural Networks Nianhui Guo Joseph Bethge Haojin Yang Kai Zhong Xuefei Ning Christoph Meinel Yu Wang MQ 22 11 0 13 Jun 2021
Lightweight compression of neural network feature tensors for collaborative intelligence R. Cohen Hyomin Choi Ivan V. Bajić 13 42 0 12 May 2021
Differentiable Model Compression via Pseudo Quantization Noise Alexandre Défossez Yossi Adi Gabriel Synnaeve DiffM MQ 12 46 0 20 Apr 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 124 673 0 24 Jan 2021
Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks Karina Vasquez Yeshwanth Venkatesha Abhiroop Bhattacharjee Abhishek Moitra Priyadarshini Panda MQ 35 15 0 12 Jan 2021
Neighbors From Hell: Voltage Attacks Against Deep Learning Accelerators on Multi-Tenant FPGAs Andrew Boutros Mathew Hall Nicolas Papernot Vaughn Betz 11 38 0 14 Dec 2020
Once Quantization-Aware Training: High Performance Extremely Low-bit Architecture Search Mingzhu Shen Feng Liang Ruihao Gong Yuhang Li Chuming Li Chen Lin F. Yu Junjie Yan Wanli Ouyang MQ 25 36 0 09 Oct 2020
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks Yoonho Boo Sungho Shin Jungwook Choi Wonyong Sung MQ 19 29 0 30 Sep 2020
An Overview of Neural Network Compression James OÑeill AI4CE 45 98 0 05 Jun 2020
Quantized Neural Networks: Characterization and Holistic Optimization Yoonho Boo Sungho Shin Wonyong Sung MQ 40 8 0 31 May 2020
Binary Neural Networks: A Survey Haotong Qin Ruihao Gong Xianglong Liu Xiao Bai Jingkuan Song N. Sebe MQ 50 457 0 31 Mar 2020
Training Binary Neural Networks using the Bayesian Learning Rule Xiangming Meng Roman Bachmann Mohammad Emtiyaz Khan BDL MQ 27 40 0 25 Feb 2020
MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy? Joseph Bethge Christian Bartz Haojin Yang Ying Chen Christoph Meinel MQ 25 91 0 16 Jan 2020
Least squares binary quantization of neural networks Hadi Pouransari Zhucheng Tu Oncel Tuzel MQ 17 32 0 09 Jan 2020
Towards Efficient Training for Neural Network Quantization Qing Jin Linjie Yang Zhenyu A. Liao MQ 11 42 0 21 Dec 2019
Adaptive Loss-aware Quantization for Multi-bit Networks Zhongnan Qu Zimu Zhou Yun Cheng Lothar Thiele MQ 30 53 0 18 Dec 2019
QKD: Quantization-aware Knowledge Distillation Jangho Kim Yash Bhalgat Jinwon Lee Chirag I. Patel Nojun Kwak MQ 16 63 0 28 Nov 2019
Iteratively Training Look-Up Tables for Network Quantization Fabien Cardinaux Stefan Uhlich K. Yoshiyama Javier Alonso García Lukas Mauch Stephen Tiedemann Thomas Kemp Akira Nakamura MQ 27 16 0 12 Nov 2019
TiM-DNN: Ternary in-Memory accelerator for Deep Neural Networks Shubham Jain S. Gupta A. Raghunathan MQ 22 37 0 15 Sep 2019
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks Ruihao Gong Xianglong Liu Shenghu Jiang Tian-Hao Li Peng Hu Jiazhen Lin F. Yu Junjie Yan MQ 21 445 0 14 Aug 2019
And the Bit Goes Down: Revisiting the Quantization of Neural Networks Pierre Stock Armand Joulin Rémi Gribonval Benjamin Graham Hervé Jégou MQ 29 149 0 12 Jul 2019
Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks Ahmed T. Elthakeb Prannoy Pilligundla Alex Cloninger H. Esmaeilzadeh MQ 18 8 0 14 Jun 2019
Constructing Energy-efficient Mixed-precision Neural Networks through Principal Component Analysis for Edge Intelligence I. Chakraborty Deboleena Roy Isha Garg Aayush Ankit Kaushik Roy 19 37 0 04 Jun 2019
Low-bit Quantization of Neural Networks for Efficient Inference Yoni Choukroun Eli Kravchik Fan Yang P. Kisilev MQ 16 355 0 18 Feb 2019
CodeX: Bit-Flexible Encoding for Streaming-based FPGA Acceleration of DNNs Mohammad Samragh Mojan Javaheripi F. Koushanfar 27 11 0 17 Jan 2019
DSConv: Efficient Convolution Operator Marcelo Gennari Roger Fawcett V. Prisacariu MQ 24 62 0 07 Jan 2019
Proximal Mean-field for Neural Network Quantization Thalaiyasingam Ajanthan P. Dokania Richard I. Hartley Philip H. S. Torr MQ 30 20 0 11 Dec 2018
Joint Neural Architecture Search and Quantization Yukang Chen Gaofeng Meng Qian Zhang Xinbang Zhang Liangchen Song Shiming Xiang Chunhong Pan MQ 24 29 0 23 Nov 2018
Quantization for Rapid Deployment of Deep Neural Networks J. Lee Sangwon Ha Saerom Choi Won-Jo Lee Seungwon Lee MQ 14 48 0 12 Oct 2018
Relaxed Quantization for Discretized Neural Networks Christos Louizos M. Reisser Tijmen Blankevoort E. Gavves Max Welling MQ 27 131 0 03 Oct 2018
A Survey on Methods and Theories of Quantized Neural Networks Yunhui Guo MQ 27 230 0 13 Aug 2018
Bridging the Accuracy Gap for 2-bit Quantized Neural Networks (QNN) Jungwook Choi P. Chuang Zhuo Wang Swagath Venkataramani Vijayalakshmi Srinivasan K. Gopalakrishnan MQ 11 75 0 17 Jul 2018
Quantizing deep convolutional networks for efficient inference: A whitepaper Raghuraman Krishnamoorthi MQ 16 990 0 21 Jun 2018
Scalable Methods for 8-bit Training of Neural Networks Ron Banner Itay Hubara Elad Hoffer Daniel Soudry MQ 28 329 0 25 May 2018
Mixed Precision Training Paulius Micikevicius Sharan Narang Jonah Alben G. Diamos Erich Elsen ... Boris Ginsburg Michael Houston Oleksii Kuchaiev Ganesh Venkatesh Hao Wu 63 1,762 0 10 Oct 2017
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 316 1,047 0 10 Feb 2017