Trained Ternary Quantization

4 December 2016

Song Han

Papers citing "Trained Ternary Quantization"

50 / 509 papers shown

Title
DeepTwist: Learning Model Compression via Occasional Weight Distortion Dongsoo Lee Parichay Kapoor Byeongwook Kim 38 19 0 30 Oct 2018
Discrimination-aware Channel Pruning for Deep Neural Networks Zhuangwei Zhuang Mingkui Tan Bohan Zhuang Jing Liu Yong Guo Qingyao Wu Junzhou Huang Jin-Hui Zhu 25 595 0 28 Oct 2018
Progressive Weight Pruning of Deep Neural Networks using ADMM Shaokai Ye Tianyun Zhang Kaiqi Zhang Jiayu Li Kaidi Xu ... M. Fardad Sijia Liu Xiang Chen X. Lin Yanzhi Wang AI4CE 37 38 0 17 Oct 2018
Training Deep Neural Network in Limited Precision Hyunsun Park J. Lee Youngmin Oh Sangwon Ha Seungwon Lee 19 9 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 25 31 0 04 Oct 2018
Relaxed Quantization for Discretized Neural Networks Christos Louizos M. Reisser Tijmen Blankevoort E. Gavves Max Welling MQ 36 132 0 03 Oct 2018
LIT: Block-wise Intermediate Representation Training for Model Compression Animesh Koratana Daniel Kang Peter Bailis Matei A. Zaharia 11 12 0 02 Oct 2018
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network using Truncated Gaussian Approximation Zhezhi He Deliang Fan MQ 16 66 0 02 Oct 2018
ProxQuant: Quantized Neural Networks via Proximal Operators Yu Bai Yu Wang Edo Liberty MQ 11 117 0 01 Oct 2018
NICE: Noise Injection and Clamping Estimation for Neural Network Quantization Chaim Baskin Natan Liss Yoav Chai Evgenii Zheltonozhskii Eli Schwartz Raja Giryes A. Mendelson A. Bronstein MQ 17 60 0 29 Sep 2018
Learning Recurrent Binary/Ternary Weights A. Ardakani Zhengyun Ji S. C. Smithson B. Meyer W. Gross MQ 19 27 0 28 Sep 2018
Scalar Arithmetic Multiple Data: Customizable Precision for Deep Neural Networks Andrew Anderson David Gregg MQ 21 1 0 27 Sep 2018
Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks Jack Turner José Cano Valentin Radu Elliot J. Crowley Michael F. P. O'Boyle Amos Storkey 18 40 0 19 Sep 2018
DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided Fuzzing Xiaofei Xie Lei Ma Felix Juefei Xu Hongxu Chen Minhui Xue Bo-wen Li Yang Liu Jianjun Zhao Jianxiong Yin Simon See 43 40 0 04 Sep 2018
Learning Sparse Low-Precision Neural Networks With Learnable Regularization Yoojin Choi Mostafa El-Khamy Jungwon Lee MQ 30 31 0 01 Sep 2018
Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks Yang He Xuanyi Dong Guoliang Kang Yanwei Fu C. Yan Yi Yang 48 134 0 22 Aug 2018
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks Yang He Guoliang Kang Xuanyi Dong Yanwei Fu Yi Yang AAML VLM 36 957 0 21 Aug 2018
Learning to Quantize Deep Networks by Optimizing Quantization Intervals with Task Loss S. Jung Changyong Son Seohyung Lee JinWoo Son Youngjun Kwak Jae-Joon Han Sung Ju Hwang Changkyu Choi MQ 25 373 0 17 Aug 2018
A Survey on Methods and Theories of Quantized Neural Networks Yunhui Guo MQ 34 232 0 13 Aug 2018
Training Compact Neural Networks with Binary Weights and Low Precision Activations Bohan Zhuang Chunhua Shen Ian Reid MQ 13 14 0 08 Aug 2018
Design Flow of Accelerating Hybrid Extremely Low Bit-width Neural Network in Embedded FPGA Junsong Wang Qiuwen Lou Xiaofan Zhang Chao Zhu Yonghua Lin Deming Chen MQ 36 93 0 31 Jul 2018
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks Dongqing Zhang Jiaolong Yang Dongqiangzi Ye G. Hua MQ 23 697 0 26 Jul 2018
Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy Zhezhi He Boqing Gong Deliang Fan 18 22 0 20 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 19 75 0 17 Jul 2018
FINN-L: Library Extensions and Design Trade-off Analysis for Variable Precision LSTM Networks on FPGAs Vladimir Rybalkin Alessandro Pappalardo M. M. Ghaffar Giulio Gambardella Norbert Wehn Michaela Blott 19 72 0 11 Jul 2018
Auto Deep Compression by Reinforcement Learning Based Actor-Critic Structure Hamed Hakkak OffRL AI4CE 15 1 0 08 Jul 2018
Stochastic Layer-Wise Precision in Deep Neural Networks Griffin Lacey Graham W. Taylor S. Areibi 29 18 0 03 Jul 2018
SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks Julian Faraone Nicholas J. Fraser Michaela Blott Philip H. W. Leong MQ 33 133 0 01 Jul 2018
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit? Shilin Zhu Xin Dong Hao Su MQ 30 135 0 20 Jun 2018
Exploration of Low Numeric Precision Deep Learning Inference Using Intel FPGAs Philip Colangelo Nasibeh Nasiri Asit K. Mishra Eriko Nurvitadhi M. Margala Kevin Nealis MQ 27 1 0 12 Jun 2018
TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service Amartya Sanyal Matt J. Kusner Adria Gascon Varun Kanade FedML 19 126 0 09 Jun 2018
IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks Ke Sun Mingjie Li Dong Liu Jingdong Wang 45 126 0 01 Jun 2018
MPDCompress - Matrix Permutation Decomposition Algorithm for Deep Neural Network Compression Lazar Supic R. Naous Ranko Sredojevic Aleksandra Faust Vladimir M. Stojanović 19 4 0 30 May 2018
Retraining-Based Iterative Weight Quantization for Deep Neural Networks Dongsoo Lee Byeongwook Kim MQ 36 16 0 29 May 2018
Accelerating CNN inference on FPGAs: A Survey K. Abdelouahab Maxime Pelcat Jocelyn Serot F. Berry AI4CE 30 147 0 26 May 2018
Tensorial Neural Networks: Generalization of Neural Networks and Application to Model Compression Jiahao Su Jingling Li Bobby Bhattacharjee Furong Huang 16 20 0 25 May 2018
DEEPEYE: A Compact and Accurate Video Comprehension at Terminal Devices Compressed with Quantization and Tensorization Yuan Cheng Guangya Li Hai-Bao Chen S. Tan Hao Yu 14 3 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 13 941 0 16 May 2018
UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks Chaim Baskin Eli Schwartz Evgenii Zheltonozhskii Natan Liss Raja Giryes A. Bronstein A. Mendelson MQ 22 45 0 29 Apr 2018
Low-memory convolutional neural networks through incremental depth-first processing Jonathan Binas Yoshua Bengio SupR 28 3 0 28 Apr 2018
Value-aware Quantization for Training and Inference of Neural Networks Eunhyeok Park S. Yoo Peter Vajda MQ 14 158 0 20 Apr 2018
UCNN: Exploiting Computational Reuse in Deep Neural Networks via Weight Repetition Kartik Hegde Jiyong Yu R. Agrawal Mengjia Yan Michael Pellauer Christopher W. Fletcher 22 165 0 18 Apr 2018
IGCV $2$ : Interleaved Structured Sparse Convolutional Neural Networks Guotian Xie Jingdong Wang Ting Zhang Jianhuang Lai Richang Hong Guo-Jun Qi 19 105 0 17 Apr 2018
Fast inference of deep neural networks in FPGAs for particle physics Javier Mauricio Duarte Song Han Philip C. Harris S. Jindariani E. Kreinar ... J. Ngadiuba M. Pierini R. Rivera N. Tran Zhenbin Wu AI4CE 88 389 0 16 Apr 2018
Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory Ameya Prabhu Vishal Batchu Rohit Gajawada Sri Aurobindo Munagala A. Namboodiri MQ 33 18 0 11 Apr 2018
Distribution-Aware Binarization of Neural Networks for Sketch Recognition Ameya Prabhu Vishal Batchu Sri Aurobindo Munagala Rohit Gajawada A. Namboodiri MQ 21 5 0 09 Apr 2018
Training DNNs with Hybrid Block Floating Point M. Drumond Tao R. Lin Martin Jaggi Babak Falsafi 25 95 0 04 Apr 2018
Adversarial Network Compression Vasileios Belagiannis Azade Farshad Fabio Galasso GAN AAML 14 58 0 28 Mar 2018
SqueezeNext: Hardware-Aware Neural Network Design A. Gholami K. Kwon Bichen Wu Zizheng Tai Xiangyu Yue Peter H. Jin Sicheng Zhao Kurt Keutzer 22 295 0 23 Mar 2018
EVA $^2$ : Exploiting Temporal Redundancy in Live Computer Vision Mark Buckler Philip Bedoukian Suren Jayasuriya Adrian Sampson 39 75 0 16 Mar 2018