Trained Ternary Quantization

4 December 2016

Song Han

Papers citing "Trained Ternary Quantization"

50 / 509 papers shown

Title
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions Stylianos I. Venieris Alexandros Kouris C. Bouganis 19 184 0 15 Mar 2018
Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation Xiaowei Xu Q. Lu Yu Hu Lin Yang X. S. Hu Danny Chen Yiyu Shi MedIm 29 85 0 13 Mar 2018
Deep Neural Network Compression with Single and Multiple Level Quantization Yuhui Xu Yongzhuang Wang Aojun Zhou Weiyao Lin H. Xiong MQ 20 114 0 06 Mar 2018
An Optimal Control Approach to Deep Learning and Applications to Discrete-Weight Neural Networks Qianxiao Li Shuji Hao 27 75 0 04 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches Md. Zahangir Alom T. Taha C. Yakopcic Stefan Westberg P. Sidike Mst Shamima Nasrin B. Van Essen A. Awwal V. Asari VLM 29 875 0 03 Mar 2018
WRPN & Apprentice: Methods for Training and Inference using Low-Precision Numerics Asit K. Mishra Debbie Marr 19 6 0 01 Mar 2018
PBGen: Partial Binarization of Deconvolution-Based Generators for Edge Intelligence Jinglan Liu Jiaxin Zhang Yukun Ding Xiaowei Xu Meng Jiang Yiyu Shi 36 4 0 26 Feb 2018
Loss-aware Weight Quantization of Deep Networks Lu Hou James T. Kwok MQ 35 127 0 23 Feb 2018
Model compression via distillation and quantization A. Polino Razvan Pascanu Dan Alistarh MQ 33 718 0 15 Feb 2018
Training and Inference with Integers in Deep Neural Networks Shuang Wu Guoqi Li F. Chen Luping Shi MQ 41 389 0 13 Feb 2018
On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks Yukun Ding Jinglan Liu Jinjun Xiong Yiyu Shi MQ 37 21 0 10 Feb 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices Yihui He Ji Lin Zhijian Liu Hanrui Wang Li-Jia Li Song Han 35 1,343 0 10 Feb 2018
Effective Quantization Approaches for Recurrent Neural Networks Md. Zahangir Alom A. Moody N. Maruyama B. Van Essen T. Taha MQ 8 33 0 07 Feb 2018
Deep Versus Wide Convolutional Neural Networks for Object Recognition on Neuromorphic System Md. Zahangir Alom Theodora Josue Md Nayim Rahman Will Mitchell C. Yakopcic T. Taha 11 20 0 07 Feb 2018
Universal Deep Neural Network Compression Yoojin Choi Mostafa El-Khamy Jungwon Lee MQ 86 86 0 07 Feb 2018
Recent Advances in Efficient Computation of Deep Convolutional Neural Networks Jian Cheng Peisong Wang Gang Li Qinghao Hu Hanqing Lu 32 3 0 03 Feb 2018
Build a Compact Binary Neural Network through Bit-level Sensitivity and Data Pruning Yixing Li Fengbo Ren MQ 22 12 0 03 Feb 2018
Alternating Multi-bit Quantization for Recurrent Neural Networks Chen Xu Jianqiang Yao Zhouchen Lin Wenwu Ou Yuanbin Cao Zhirong Wang H. Zha MQ 27 115 0 01 Feb 2018
TernaryNet: Faster Deep Model Inference without GPUs for Medical 3D Segmentation using Sparse and Binary Convolutions M. Heinrich Maximilian Blendowski Ozan Oktay MedIm 27 40 0 29 Jan 2018
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks Jason Kuen Xiangfei Kong Zhe-nan Lin G. Wang Jianxiong Yin Simon See Yap-Peng Tan BDL 30 25 0 29 Jan 2018
Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights Arun Mallya Dillon Davis Svetlana Lazebnik CLL 15 35 0 19 Jan 2018
BinaryRelax: A Relaxation Approach For Training Deep Neural Networks With Quantized Weights Penghang Yin Shuai Zhang J. Lyu Stanley Osher Y. Qi Jack Xin MQ 27 78 0 19 Jan 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 92 3,062 0 15 Dec 2017
StrassenNets: Deep Learning with a Multiplication Budget Michael Tschannen Aran Khanna Anima Anandkumar 25 29 0 11 Dec 2017
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks Hardik Sharma Jongse Park Naveen Suda Liangzhen Lai Benson Chau Joo-Young Kim Vikas Chandra H. Esmaeilzadeh MQ 32 488 0 05 Dec 2017
Deep Learning for Real-Time Crime Forecasting and its Ternarization Bao Wang Penghang Yin Andrea L. Bertozzi P. Brantingham Stanley J. Osher Jack Xin AI4TS 38 82 0 23 Nov 2017
Deep Expander Networks: Efficient Deep Networks from Graph Theory Ameya Prabhu G. Varma A. Namboodiri GNN 30 71 0 23 Nov 2017
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy Asit K. Mishra Debbie Marr FedML 38 330 0 15 Nov 2017
SparCE: Sparsity aware General Purpose Core Extensions to Accelerate Deep Neural Networks Sanchari Sen Shubham Jain Swagath Venkataramani A. Raghunathan 24 30 0 07 Nov 2017
Efficient Inferencing of Compressed Deep Neural Networks Dharma Teja Vooturi Saurabh Goyal Anamitra R. Choudhury Yogish Sabharwal Ashish Verma 16 6 0 01 Nov 2017
Minimum Energy Quantized Neural Networks Bert Moons Koen Goetschalckx Nick Van Berckelaer Marian Verhelst MQ 33 123 0 01 Nov 2017
Towards Effective Low-bitwidth Convolutional Neural Networks Bohan Zhuang Chunhua Shen Mingkui Tan Lingqiao Liu Ian Reid MQ 39 232 0 01 Nov 2017
Deep Learning as a Mixed Convex-Combinatorial Optimization Problem A. Friesen Pedro M. Domingos 26 20 0 31 Oct 2017
A Survey of Model Compression and Acceleration for Deep Neural Networks Yu Cheng Duo Wang Pan Zhou Zhang Tao 40 1,087 0 23 Oct 2017
Deep Neural Network Approximation using Tensor Sketching S. Kasiviswanathan Nina Narodytska Hongxia Jin 24 9 0 21 Oct 2017
Learning Discrete Weights Using the Local Reparameterization Trick Oran Shayer Dan Levi Ethan Fetaya 21 88 0 21 Oct 2017
TensorQuant - A Simulation Toolbox for Deep Neural Network Quantization D. Loroch Norbert Wehn Franz-Josef Pfreundt J. Keuper MQ 33 23 0 13 Oct 2017
To prune, or not to prune: exploring the efficacy of pruning for model compression Michael Zhu Suyog Gupta 42 1,251 0 05 Oct 2017
WRPN: Wide Reduced-Precision Networks Asit K. Mishra Eriko Nurvitadhi Jeffrey J. Cook Debbie Marr MQ 39 266 0 04 Sep 2017
BitNet: Bit-Regularized Deep Neural Networks Aswin Raghavan Mohamed R. Amer S. Chai Graham Taylor MQ 38 10 0 16 Aug 2017
Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization Yinpeng Dong Renkun Ni Jianguo Li Yurong Chen Jun Zhu Hang Su MQ 34 62 0 03 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 45 35 0 31 Jul 2017
Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM Cong Leng Hao Li Shenghuo Zhu Rong Jin MQ 38 286 0 24 Jul 2017
Ternary Residual Networks Abhisek Kundu K. Banerjee Naveen Mellempudi Dheevatsa Mudigere Dipankar Das Bharat Kaul Pradeep Dubey 34 8 0 15 Jul 2017
Model compression as constrained optimization, with application to neural nets. Part II: quantization M. A. Carreira-Perpiñán Yerlan Idelbayev MQ 28 37 0 13 Jul 2017
Model compression as constrained optimization, with application to neural nets. Part I: general framework Miguel Á. Carreira-Perpiñán MQ 12 32 0 05 Jul 2017
Structured Sparse Ternary Weight Coding of Deep Neural Networks for Efficient Hardware Implementations Yoonho Boo Wonyong Sung MQ 30 11 0 01 Jul 2017
Hardware-efficient on-line learning through pipelined truncated-error backpropagation in binary-state networks H. Elsayed Bruno U. Pedroni Sadique Sheik Gert Cauwenberghs 29 8 0 15 Jun 2017
YellowFin and the Art of Momentum Tuning Jian Zhang Ioannis Mitliagkas ODL 23 108 0 12 Jun 2017
Training Quantized Nets: A Deeper Understanding Hao Li Soham De Zheng Xu Christoph Studer H. Samet Tom Goldstein MQ 22 209 0 07 Jun 2017