Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights

10 February 2017

Papers citing "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"

50 / 464 papers shown

Title
Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Chaithanya Kumar Mummadi Tim Genewein Dan Zhang Thomas Brox Volker Fischer 32 3 0 09 Aug 2019
GDRQ: Group-based Distribution Reshaping for Quantization Haibao Yu Tuopu Wen Guangliang Cheng Jiankai Sun Qi Han Jianping Shi MQ 25 3 0 05 Aug 2019
U-Net Fixed-Point Quantization for Medical Image Segmentation Mohammadhossein Askarihemmat S. Honari Lucas Rouhier C. Perone Julien Cohen-Adad Yvon Savaria J. David MQ 13 30 0 02 Aug 2019
MoBiNet: A Mobile Binary Network for Image Classification Hai T. Phan Dang T. Huynh Yihui He Marios Savvides Zhiqiang Shen MQ 36 48 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 49 92 0 27 Jul 2019
MemNet: Memory-Efficiency Guided Neural Architecture Search with Augment-Trim learning Peiye Liu Bo Wu Huadong Ma Mingoo Seok 20 6 0 22 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
And the Bit Goes Down: Revisiting the Quantization of Neural Networks Pierre Stock Armand Joulin Rémi Gribonval Benjamin Graham Hervé Jégou MQ 31 149 0 12 Jul 2019
A Targeted Acceleration and Compression Framework for Low bit Neural Networks Biao Qian Yang Wang MQ 29 0 0 09 Jul 2019
Point-Voxel CNN for Efficient 3D Deep Learning Zhijian Liu Haotian Tang Yujun Lin Song Han 3DPC 43 660 0 08 Jul 2019
Non-Structured DNN Weight Pruning -- Is It Beneficial in Any Platform? Xiaolong Ma Sheng Lin Shaokai Ye Zhezhi He Linfeng Zhang ... Deliang Fan Xuehai Qian X. Lin Kaisheng Ma Yanzhi Wang MQ 19 92 0 03 Jul 2019
Progressive Gradient Pruning for Classification, Detection and DomainAdaptation Le Thanh Nguyen-Meidine Eric Granger M. Kiran Louis-Antoine Blais-Morin M. Pedersoli VLM 11 2 0 20 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
ADA-Tucker: Compressing Deep Neural Networks via Adaptive Dimension Adjustment Tucker Decomposition Zhisheng Zhong Fangyin Wei Zhouchen Lin Chao Zhang 16 28 0 18 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 18 8 0 14 Jun 2019
Table-Based Neural Units: Fully Quantizing Networks for Multiply-Free Inference Michele Covell David Marwood S. Baluja Nick Johnston MQ 11 7 0 11 Jun 2019
Data-Free Quantization Through Weight Equalization and Bias Correction Markus Nagel M. V. Baalen Tijmen Blankevoort Max Welling MQ 19 500 0 11 Jun 2019
Distilling Object Detectors with Fine-grained Feature Imitation Tao Wang Li-xin Yuan Xiaopeng Zhang Jiashi Feng ObjD 13 377 0 09 Jun 2019
Fighting Quantization Bias With Bias Alexander Finkelstein Uri Almog Mark Grobman MQ 20 56 0 07 Jun 2019
Addressing Limited Weight Resolution in a Fully Optical Neuromorphic Reservoir Computing Readout Chonghuai Ma Floris Laporte J. Dambre P. Bienstman 11 10 0 06 Jun 2019
Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks Sanghyun Hong Pietro Frigo Yigitcan Kaya Cristiano Giuffrida Tudor Dumitras AAML 11 210 0 03 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 30 12 0 31 May 2019
DeepShift: Towards Multiplication-Less Neural Networks Mostafa Elhoushi Zihao Chen F. Shafiq Ye Tian Joey Yiwei Li MQ 35 97 0 30 May 2019
Instant Quantization of Neural Networks using Monte Carlo Methods Gonçalo Mordido Matthijs Van Keirsbilck A. Keller MQ 19 9 0 29 May 2019
Progressive Learning of Low-Precision Networks Zhengguang Zhou Wen-gang Zhou Xutao Lv Xuan Huang Xiaoyu Wang Houqiang Li MQ 41 11 0 28 May 2019
Brain-inspired reverse adversarial examples Shaokai Ye S. Tan Kaidi Xu Yanzhi Wang Chenglong Bao Kaisheng Ma AAML 6 5 0 28 May 2019
Mixed Precision DNNs: All you need is a good parametrization Stefan Uhlich Lukas Mauch Fabien Cardinaux K. Yoshiyama Javier Alonso García Stephen Tiedemann Thomas Kemp Akira Nakamura MQ 19 38 0 27 May 2019
HadaNets: Flexible Quantization Strategies for Neural Networks Yash Akhauri MQ 13 7 0 26 May 2019
Additive Noise Annealing and Approximation Properties of Quantized Neural Networks Matteo Spallanzani Lukas Cavigelli G. P. Leonardi Marko Bertogna Luca Benini 19 15 0 24 May 2019
Exploring Structural Sparsity of Deep Networks via Inverse Scale Spaces Yanwei Fu Chen Liu Donghao Li Zuyuan Zhong Xinwei Sun Jinshan Zeng Yuan Yao 25 10 0 23 May 2019
DARC: Differentiable ARchitecture Compression Shashank Singh A. Khetan Zohar Karnin AI4CE 27 7 0 20 May 2019
Searching for MobileNetV3 Andrew G. Howard Mark Sandler Grace Chu Liang-Chieh Chen Bo Chen ... Yukun Zhu Ruoming Pang Vijay Vasudevan Quoc V. Le Hartwig Adam 76 6,601 0 06 May 2019
Creating Lightweight Object Detectors with Model Compression for Deployment on Edge Devices Yiwu Yao Weiqiang Yang Haoqi Zhu 21 0 0 06 May 2019
SinReQ: Generalized Sinusoidal Regularization for Low-Bitwidth Deep Quantized Training Ahmed T. Elthakeb Prannoy Pilligundla H. Esmaeilzadeh MQ 28 9 0 04 May 2019
Toward Extremely Low Bit and Lossless Accuracy in DNNs with Progressive ADMM Sheng Lin Xiaolong Ma Shaokai Ye Geng Yuan Kaisheng Ma Yanzhi Wang MQ 22 10 0 02 May 2019
26ms Inference Time for ResNet-50: Towards Real-Time Execution of all DNNs on Smartphone Wei Niu Xiaolong Ma Yanzhi Wang Bin Ren 3DH 14 22 0 02 May 2019
Full-stack Optimization for Accelerating CNNs with FPGA Validation Bradley McDanel S. Zhang H. T. Kung Xin Dong MQ 14 2 0 01 May 2019
HAWQ: Hessian AWare Quantization of Neural Networks with Mixed-Precision Zhen Dong Z. Yao A. Gholami Michael W. Mahoney Kurt Keutzer MQ 22 513 0 29 Apr 2019
SWALP : Stochastic Weight Averaging in Low-Precision Training Guandao Yang Tianyi Zhang Polina Kirichenko Junwen Bai A. Wilson Christopher De Sa 16 94 0 26 Apr 2019
$$S^{2}$-LBI: Stochastic Split Linearized Bregman Iterations for Parsimonious Deep Learning$ $S^{2}$ -LBI: Stochastic Split Linearized Bregman Iterations for Parsimonious Deep Learning Yanwei Fu Donghao Li Xinwei Sun Shun Zhang Yizhou Wang Y. Yao 25 0 0 24 Apr 2019
Improved training of binary networks for human pose estimation and image recognition Adrian Bulat Georgios Tzimiropoulos Jean Kossaifi M. Pantic MQ 22 47 0 11 Apr 2019
Knowledge Squeezed Adversarial Network Compression Changyong Shu Li Peng Xie Yuan Yanyun Qu Longquan Dai Lizhuang Ma GAN 37 11 0 10 Apr 2019
C2S2: Cost-aware Channel Sparse Selection for Progressive Network Pruning Chih-Yao Chiu Hwann-Tzong Chen Tyng-Luh Liu 6 0 0 06 Apr 2019
LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks Sudhakar Kumawat Shanmuganathan Raman 3DPC 11 77 0 06 Apr 2019
Transfer Learning with Sparse Associative Memories Quentin Jodelet Vincent Gripon M. Hagiwara CLL 17 0 0 04 Apr 2019
Progressive Stochastic Binarization of Deep Networks David Hartmann Michael Wand MQ 12 1 0 03 Apr 2019
Patchwork: A Patch-wise Attention Network for Efficient Object Detection and Segmentation in Video Streams Yuning Chai VOS 21 30 0 03 Apr 2019
Fully Learnable Group Convolution for Acceleration of Deep Neural Networks Xijun Wang Meina Kan Shiguang Shan Xilin Chen 26 71 0 31 Mar 2019
Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Pruning Chaohui Yu Jindong Wang Yiqiang Chen Zijing Wu 19 22 0 25 Mar 2019
Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM Shaokai Ye Xiaoyu Feng Tianyun Zhang Xiaolong Ma Sheng Lin ... Jian Tang M. Fardad X. Lin Yongpan Liu Yanzhi Wang MQ 30 38 0 23 Mar 2019