Trained Ternary Quantization

4 December 2016

Song Han

Papers citing "Trained Ternary Quantization"

50 / 509 papers shown

Title
MLPerf Training Benchmark Arya D. McCarthy Christine Cheng Cody Coleman Greg Diamos Paulius Micikevicius ... Carole-Jean Wu Lingjie Xu Masafumi Yamazaki C. Young Matei A. Zaharia 47 307 0 02 Oct 2019
AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference Thierry Tambe En-Yu Yang Zishen Wan Yuntian Deng Vijay Janapa Reddi Alexander M. Rush David Brooks Gu-Yeon Wei MQ 19 21 0 29 Sep 2019
Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks Yuhang Li Xin Dong Wei Wang MQ 31 255 0 28 Sep 2019
Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks Rémi Bernhard Pierre-Alain Moëllic J. Dutertre AAML MQ 29 18 0 27 Sep 2019
Adaptive Binary-Ternary Quantization Ryan Razani Grégoire Morin V. Nia Eyyub Sari MQ 16 13 0 26 Sep 2019
Accurate and Compact Convolutional Neural Networks with Trained Binarization Zhe Xu R. Cheung MQ 27 54 0 25 Sep 2019
FALCON: Lightweight and Accurate Convolution Jun-Gi Jang Chun Quan Hyun Dong Lee U. Kang 6 1 0 25 Sep 2019
Forward and Backward Information Retention for Accurate Binary Neural Networks Haotong Qin Ruihao Gong Xianglong Liu Mingzhu Shen Ziran Wei F. Yu Jingkuan Song MQ 133 324 0 24 Sep 2019
Structured Binary Neural Networks for Image Recognition Bohan Zhuang Chunhua Shen Mingkui Tan Peng Chen Lingqiao Liu Ian Reid MQ 27 17 0 22 Sep 2019
TiM-DNN: Ternary in-Memory accelerator for Deep Neural Networks Shubham Jain S. Gupta A. Raghunathan MQ 35 37 0 15 Sep 2019
A Camera That CNNs: Towards Embedded Neural Networks on Pixel Processor Arrays Laurie Bose Jianing Chen S. Carey Piotr Dudek W. Mayol-Cuevas 16 37 0 12 Sep 2019
Knowledge Distillation for End-to-End Person Search Bharti Munjal Fabio Galasso S. Amin FedML 48 15 0 03 Sep 2019
High Performance Scalable FPGA Accelerator for Deep Neural Networks Sudarshan Srinivasan Pradeep Janedula Saurabh Dhoble Sasikanth Avancha Dipankar Das Naveen Mellempudi Bharat Daga M. Langhammer Gregg Baeckler Bharat Kaul 13 3 0 29 Aug 2019
Accelerating Large-Scale Inference with Anisotropic Vector Quantization Ruiqi Guo Philip Sun Xiang Wu Quan Geng David Simcha Felix Chern Sanjiv Kumar MQ 21 7 0 27 Aug 2019
Once-for-All: Train One Network and Specialize it for Efficient Deployment Han Cai Chuang Gan Tianzhe Wang Zhekai Zhang Song Han OOD 51 1,262 0 26 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
Incremental Binarization On Recurrent Neural Networks For Single-Channel Source Separation Sunwoo Kim Mrinmoy Maity Minje Kim MQ 11 14 0 23 Aug 2019
RBCN: Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs Chunlei Liu Wenrui Ding Xin Xia Yuan Hu Baochang Zhang Jianzhuang Liu Bohan Zhuang G. Guo MQ 19 25 0 21 Aug 2019
Efficient Deep Neural Networks Bichen Wu 28 12 0 20 Aug 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 32 447 0 14 Aug 2019
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations Bohan Zhuang Jing Liu Mingkui Tan Lingqiao Liu Ian Reid Chunhua Shen MQ 29 45 0 10 Aug 2019
Efficient Inference of CNNs via Channel Pruning Boyu Zhang A. Davoodi Y. Hu CVBM 19 6 0 08 Aug 2019
GDRQ: Group-based Distribution Reshaping for Quantization Haibao Yu Tuopu Wen Guangliang Cheng Jiankai Sun Qi Han Jianping Shi MQ 33 3 0 05 Aug 2019
Tuning Algorithms and Generators for Efficient Edge Inference R. Naous Lazar Supic Yoonhwan Kang Ranko Seradejovic Anish Singhani Vladimir M. Stojanović 14 2 0 31 Jul 2019
MoBiNet: A Mobile Binary Network for Image Classification Hai T. Phan Dang T. Huynh Yihui He Marios Savvides Zhiqiang Shen MQ 36 49 0 29 Jul 2019
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks Simon Wiedemann H. Kirchhoffer Stefan Matlage Paul Haase Arturo Marbán ... Ahmed Osman D. Marpe H. Schwarz Thomas Wiegand Wojciech Samek 54 93 0 27 Jul 2019
Learning Multimodal Fixed-Point Weights using Gradient Descent Lukas Enderich Fabian Timm Lars Rosenbaum Wolfram Burgard MQ 17 9 0 16 Jul 2019
Light Multi-segment Activation for Model Compression Zhenhui Xu Guolin Ke Jia Zhang Jiang Bian Tie-Yan Liu 19 2 0 16 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
And the Bit Goes Down: Revisiting the Quantization of Neural Networks Pierre Stock Armand Joulin Rémi Gribonval Benjamin Graham Hervé Jégou MQ 42 149 0 12 Jul 2019
A Targeted Acceleration and Compression Framework for Low bit Neural Networks Biao Qian Yang Wang MQ 35 0 0 09 Jul 2019
Weight Normalization based Quantization for Deep Neural Network Compression Wenhong Cai Wu-Jun Li 24 14 0 01 Jul 2019
Improving Branch Prediction By Modeling Global History with Convolutional Neural Networks Stephen J. Tarsa Chit-Kwan Lin Gokce Keskin G. Chinya Hong Wang 21 26 0 20 Jun 2019
Back to Simplicity: How to Train Accurate BNNs from Scratch? Joseph Bethge Haojin Yang Marvin Bornstein Christoph Meinel AAML MQ 27 58 0 19 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
Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks Ahmed T. Elthakeb Prannoy Pilligundla Alex Cloninger H. Esmaeilzadeh MQ 26 8 0 14 Jun 2019
Visual Wake Words Dataset Aakanksha Chowdhery Pete Warden Jonathon Shlens Andrew G. Howard Rocky Rhodes VLM 18 99 0 12 Jun 2019
Run-Time Efficient RNN Compression for Inference on Edge Devices Urmish Thakker Jesse G. Beu Dibakar Gope Ganesh S. Dasika Matthew Mattina 19 18 0 12 Jun 2019
Table-Based Neural Units: Fully Quantizing Networks for Multiply-Free Inference Michele Covell David Marwood S. Baluja Nick Johnston MQ 19 7 0 11 Jun 2019
Compressing RNNs for IoT devices by 15-38x using Kronecker Products Urmish Thakker Jesse G. Beu Dibakar Gope Chu Zhou Igor Fedorov Ganesh S. Dasika Matthew Mattina 27 36 0 07 Jun 2019
Multi-Precision Quantized Neural Networks via Encoding Decomposition of -1 and +1 Qigong Sun Fanhua Shang Kan Yang Xiufang Li Yan Ren L. Jiao MQ 46 12 0 31 May 2019
DeepShift: Towards Multiplication-Less Neural Networks Mostafa Elhoushi Zihao Chen F. Shafiq Ye Tian Joey Yiwei Li MQ 38 97 0 30 May 2019
Instant Quantization of Neural Networks using Monte Carlo Methods Gonçalo Mordido Matthijs Van Keirsbilck A. Keller MQ 27 9 0 29 May 2019
Harnessing Slow Dynamics in Neuromorphic Computation Tianlin Liu 24 0 0 28 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
HadaNets: Flexible Quantization Strategies for Neural Networks Yash Akhauri MQ 21 7 0 26 May 2019
Structured Compression by Weight Encryption for Unstructured Pruning and Quantization S. Kwon Dongsoo Lee Byeongwook Kim Parichay Kapoor Baeseong Park Gu-Yeon Wei MQ 35 48 0 24 May 2019
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis Chaoqi Wang Roger C. Grosse Sanja Fidler Guodong Zhang 29 121 0 15 May 2019
SinReQ: Generalized Sinusoidal Regularization for Low-Bitwidth Deep Quantized Training Ahmed T. Elthakeb Prannoy Pilligundla H. Esmaeilzadeh MQ 31 9 0 04 May 2019
Full-stack Optimization for Accelerating CNNs with FPGA Validation Bradley McDanel Shanghang Zhang H. T. Kung Xin Dong MQ 25 2 0 01 May 2019