Resiliency of Deep Neural Networks under Quantization

20 November 2015

Papers citing "Resiliency of Deep Neural Networks under Quantization"

35 / 35 papers shown

Title
NeuralDEM -- Real-time Simulation of Industrial Particulate Flows Benedikt Alkin Tobias Kronlachner Samuele Papa Stefan Pirker Thomas Lichtenegger Johannes Brandstetter PINN AI4CE 64 1 1 14 Nov 2024
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity Kanghyun Choi Hyeyoon Lee Dain Kwon Sunjong Park Kyuyeun Kim Noseong Park Jinho Lee Jinho Lee MQ 55 1 0 29 Jul 2024
MobileNMT: Enabling Translation in 15MB and 30ms Ye Lin Xiaohui Wang Zhexi Zhang Mingxuan Wang Tong Xiao Jingbo Zhu MQ 43 1 0 07 Jun 2023
Lifting the Curse of Capacity Gap in Distilling Language Models Chen Zhang Yang Yang Jiahao Liu Jingang Wang Yunsen Xian Benyou Wang Dawei Song MoE 32 19 0 20 May 2023
Hyperspherical Quantization: Toward Smaller and More Accurate Models Dan Liu X. Chen Chen Ma Xue Liu MQ 35 3 0 24 Dec 2022
FxP-QNet: A Post-Training Quantizer for the Design of Mixed Low-Precision DNNs with Dynamic Fixed-Point Representation Ahmad Shawahna S. M. Sait A. El-Maleh Irfan Ahmad MQ 25 7 0 22 Mar 2022
Elastic-Link for Binarized Neural Network Jie Hu Ziheng Wu Vince Tan Zhilin Lu Mengze Zeng Enhua Wu MQ 30 6 0 19 Dec 2021
MOHAQ: Multi-Objective Hardware-Aware Quantization of Recurrent Neural Networks Nesma M. Rezk Tomas Nordstrom D. Stathis Z. Ul-Abdin E. Aksoy A. Hemani MQ 30 1 0 02 Aug 2021
Post-Training Quantization for Vision Transformer Zhenhua Liu Yunhe Wang Kai Han Siwei Ma Wen Gao ViT MQ 61 327 0 27 Jun 2021
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators David Stutz Nandhini Chandramoorthy Matthias Hein Bernt Schiele AAML MQ 26 18 0 16 Apr 2021
Reduced-Order Neural Network Synthesis with Robustness Guarantees R. Drummond M. Turner S. Duncan 27 9 0 18 Feb 2021
Quantized Neural Networks: Characterization and Holistic Optimization Yoonho Boo Sungho Shin Wonyong Sung MQ 50 8 0 31 May 2020
ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network David Gschwend 35 64 0 14 May 2020
SNIFF: Reverse Engineering of Neural Networks with Fault Attacks J. Breier Dirmanto Jap Xiaolu Hou S. Bhasin Yang Liu 17 53 0 23 Feb 2020
Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision Xingchao Liu Mao Ye Dengyong Zhou Qiang Liu MQ 16 42 0 20 Feb 2020
QKD: Quantization-aware Knowledge Distillation Jangho Kim Yash Bhalgat Jinwon Lee Chirag I. Patel Nojun Kwak MQ 29 64 0 28 Nov 2019
Post-Training 4-bit Quantization on Embedding Tables Hui Guan Andrey Malevich Jiyan Yang Jongsoo Park Hector Yuen MQ 19 32 0 05 Nov 2019
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting Ritchie Zhao Yuwei Hu Jordan Dotzel Christopher De Sa Zhiru Zhang OODD MQ 55 305 0 28 Jan 2019
FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review Ahmad Shawahna S. M. Sait A. El-Maleh 28 372 0 01 Jan 2019
A Survey on Methods and Theories of Quantized Neural Networks Yunhui Guo MQ 34 232 0 13 Aug 2018
Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy Zhezhi He Boqing Gong Deliang Fan 21 22 0 20 Jul 2018
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit? Shilin Zhu Xin Dong Hao Su MQ 32 135 0 20 Jun 2018
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
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
Structured Sparse Ternary Weight Coding of Deep Neural Networks for Efficient Hardware Implementations Yoonho Boo Wonyong Sung MQ 30 11 0 01 Jul 2017
Fixed-point optimization of deep neural networks with adaptive step size retraining Sungho Shin Yoonho Boo Wonyong Sung MQ 32 34 0 27 Feb 2017
Scaling Binarized Neural Networks on Reconfigurable Logic Nicholas J. Fraser Yaman Umuroglu Giulio Gambardella Michaela Blott Philip H. W. Leong Magnus Jahre K. Vissers MQ 20 57 0 12 Jan 2017
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference Yaman Umuroglu Nicholas J. Fraser Giulio Gambardella Michaela Blott Philip H. W. Leong Magnus Jahre K. Vissers MQ 53 983 0 01 Dec 2016
ModelHub: Towards Unified Data and Lifecycle Management for Deep Learning Hui Miao Ang Li L. Davis Amol Deshpande VLM MU 29 128 0 18 Nov 2016
Compact Deep Convolutional Neural Networks With Coarse Pruning S. Anwar Wonyong Sung 3DPC 23 55 0 30 Oct 2016
YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN Acceleration Renzo Andri Lukas Cavigelli D. Rossi Luca Benini 23 196 0 17 Jun 2016
Ristretto: Hardware-Oriented Approximation of Convolutional Neural Networks Philipp Gysel 29 127 0 20 May 2016
Convolutional Neural Networks using Logarithmic Data Representation Daisuke Miyashita Edward H. Lee B. Murmann MQ 30 425 0 03 Mar 2016
Binarized Neural Networks Itay Hubara Daniel Soudry Ran El-Yaniv MQ 58 1,350 0 08 Feb 2016