Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations

22 September 2016

Papers citing "Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations"

50 / 201 papers shown

Title
A Distributed Synchronous SGD Algorithm with Global Top- $k$ Sparsification for Low Bandwidth Networks S. Shi Qiang-qiang Wang Kaiyong Zhao Zhenheng Tang Yuxin Wang Xiang Huang Xiaowen Chu 32 134 0 14 Jan 2019
DSConv: Efficient Convolution Operator Marcelo Gennari Roger Fawcett V. Prisacariu MQ 16 62 0 07 Jan 2019
Proximal Mean-field for Neural Network Quantization Thalaiyasingam Ajanthan P. Dokania Richard I. Hartley Philip H. S. Torr MQ 16 20 0 11 Dec 2018
Knowledge Distillation with Feature Maps for Image Classification Wei-Chun Chen Chia-Che Chang Chien-Yu Lu Che-Rung Lee 19 35 0 03 Dec 2018
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network Sachin Mehta Mohammad Rastegari Linda G. Shapiro Hannaneh Hajishirzi VLM 15 392 0 28 Nov 2018
Dense xUnit Networks I. Kligvasser T. Michaeli 13 3 0 27 Nov 2018
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation Bohan Zhuang Chunhua Shen Mingkui Tan Lingqiao Liu Ian Reid MQ 6 152 0 22 Nov 2018
QUENN: QUantization Engine for low-power Neural Networks Miguel de Prado Maurizio Denna Luca Benini Nuria Pazos MQ 19 14 0 14 Nov 2018
Convolutional Neural Network Quantization using Generalized Gamma Distribution Doyun Kim H. Yim Sanghyuck Ha Changgwun Lee Inyup Kang MQ 19 4 0 31 Oct 2018
Fault Tolerance in Iterative-Convergent Machine Learning Aurick Qiao Bryon Aragam Bingjing Zhang Eric P. Xing 13 41 0 17 Oct 2018
Quantization for Rapid Deployment of Deep Neural Networks J. Lee Sangwon Ha Saerom Choi Won-Jo Lee Seungwon Lee MQ 8 48 0 12 Oct 2018
Training Deep Neural Network in Limited Precision Hyunsun Park J. Lee Youngmin Oh Sangwon Ha Seungwon Lee 14 8 0 12 Oct 2018
Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA Cheng Fu Shilin Zhu Hao Su Ching-En Lee Jishen Zhao MQ 10 31 0 04 Oct 2018
Relaxed Quantization for Discretized Neural Networks Christos Louizos M. Reisser Tijmen Blankevoort E. Gavves Max Welling MQ 16 131 0 03 Oct 2018
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks Shivang Agarwal Jean Ogier du Terrail F. Jurie ObjD 16 122 0 10 Sep 2018
DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided Fuzzing Xiaofei Xie L. Ma Felix Juefei Xu Hongxu Chen Minhui Xue Bo-wen Li Yang Liu Jianjun Zhao Jianxiong Yin Simon See 24 40 0 04 Sep 2018
Training Compact Neural Networks with Binary Weights and Low Precision Activations Bohan Zhuang Chunhua Shen Ian Reid MQ 11 14 0 08 Aug 2018
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm Zechun Liu Baoyuan Wu Wenhan Luo Xin Yang W. Liu K. Cheng MQ 16 550 0 01 Aug 2018
DFTerNet: Towards 2-bit Dynamic Fusion Networks for Accurate Human Activity Recognition Zhan Yang Osolo Ian Raymond Chengyuan Zhang Ying Wan J. Long CVBM 23 36 0 31 Jul 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
RAPIDNN: In-Memory Deep Neural Network Acceleration Framework Mohsen Imani Mohammad Samragh Yeseong Kim Saransh Gupta F. Koushanfar Tajana Simunic 8 51 0 15 Jun 2018
MPDCompress - Matrix Permutation Decomposition Algorithm for Deep Neural Network Compression Lazar Supic R. Naous Ranko Sredojevic Aleksandra Faust Vladimir M. Stojanović 17 4 0 30 May 2018
Adding New Tasks to a Single Network with Weight Transformations using Binary Masks Massimiliano Mancini Elisa Ricci Barbara Caputo Samuel Rota Buló 9 51 0 28 May 2018
Accelerating CNN inference on FPGAs: A Survey K. Abdelouahab Maxime Pelcat Jocelyn Serot F. Berry AI4CE 14 147 0 26 May 2018
Tensorial Neural Networks: Generalization of Neural Networks and Application to Model Compression Jiahao Su Jingling Li Bobby Bhattacharjee Furong Huang 6 20 0 25 May 2018
Scalable Methods for 8-bit Training of Neural Networks Ron Banner Itay Hubara Elad Hoffer Daniel Soudry MQ 22 329 0 25 May 2018
Laplacian Networks: Bounding Indicator Function Smoothness for Neural Network Robustness Carlos Lassance Vincent Gripon Antonio Ortega AAML 13 16 0 24 May 2018
Faster Neural Network Training with Approximate Tensor Operations Menachem Adelman Kfir Y. Levy Ido Hakimi M. Silberstein 18 26 0 21 May 2018
PACT: Parameterized Clipping Activation for Quantized Neural Networks Jungwook Choi Zhuo Wang Swagath Venkataramani P. Chuang Vijayalakshmi Srinivasan K. Gopalakrishnan MQ 9 936 0 16 May 2018
Dynamic Sentence Sampling for Efficient Training of Neural Machine Translation Rui Wang Masao Utiyama Eiichiro Sumita 27 27 0 01 May 2018
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling Liyuan Liu Xiang Ren Jingbo Shang Jian-wei Peng Jiawei Han 9 44 0 20 Apr 2018
Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory Ameya Prabhu Vishal Batchu Rohit Gajawada Sri Aurobindo Munagala A. Namboodiri MQ 12 18 0 11 Apr 2018
SqueezeNext: Hardware-Aware Neural Network Design A. Gholami K. Kwon Bichen Wu Zizheng Tai Xiangyu Yue Peter H. Jin Sicheng Zhao Kurt Keutzer 14 294 0 23 Mar 2018
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation Sachin Mehta Mohammad Rastegari A. Caspi Linda G. Shapiro Hannaneh Hajishirzi SSeg 29 777 0 19 Mar 2018
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis Tal Ben-Nun Torsten Hoefler GNN 22 701 0 26 Feb 2018
PBGen: Partial Binarization of Deconvolution-Based Generators for Edge Intelligence Jinglan Liu Jiaxin Zhang Yukun Ding Xiaowei Xu Meng-Long Jiang Yiyu Shi 19 4 0 26 Feb 2018
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks Nicholas Carlini Chang-rui Liu Ulfar Erlingsson Jernej Kos D. Song 31 1,110 0 22 Feb 2018
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference Benoit Jacob S. Kligys Bo Chen Menglong Zhu Matthew Tang Andrew G. Howard Hartwig Adam Dmitry Kalenichenko MQ 16 3,043 0 15 Dec 2017
Minimum Energy Quantized Neural Networks Bert Moons Koen Goetschalckx Nick Van Berckelaer Marian Verhelst MQ 17 123 0 01 Nov 2017
Mixed Precision Training Paulius Micikevicius Sharan Narang Jonah Alben G. Diamos Erich Elsen ... Boris Ginsburg Michael Houston Oleksii Kuchaiev Ganesh Venkatesh Hao Wu 57 1,762 0 10 Oct 2017
BitNet: Bit-Regularized Deep Neural Networks Aswin Raghavan Mohamed R. Amer S. Chai Graham Taylor MQ 22 10 0 16 Aug 2017
Scaling Deep Learning on GPU and Knights Landing clusters Yang You A. Buluç J. Demmel GNN 15 75 0 09 Aug 2017
Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform Chaim Baskin Natan Liss Evgenii Zheltonozhskii A. Bronstein A. Mendelson GNN MQ 28 35 0 31 Jul 2017
RNN Decoding of Linear Block Codes Eliya Nachmani Elad Marciano D. Burshtein Yair Be’ery AI4CE 72 87 0 24 Feb 2017
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 311 1,047 0 10 Feb 2017
Mixed Low-precision Deep Learning Inference using Dynamic Fixed Point Naveen Mellempudi Abhisek Kundu Dipankar Das Dheevatsa Mudigere Bharat Kaul MQ 19 30 0 31 Jan 2017
Boosting Neural Machine Translation Dakun Zhang Jungi Kim Josep Crego Jean Senellart AI4CE 13 26 0 19 Dec 2016
Trained Ternary Quantization Chenzhuo Zhu Song Han Huizi Mao W. Dally MQ 19 1,035 0 04 Dec 2016
Fast Video Classification via Adaptive Cascading of Deep Models Haichen Shen Seungyeop Han Matthai Philipose Arvind Krishnamurthy 26 78 0 20 Nov 2016
Local Binary Convolutional Neural Networks Felix Juefei Xu Vishnu Naresh Boddeti Marios Savvides MQ 20 251 0 22 Aug 2016