Resiliency of Deep Neural Networks under Quantization

20 November 2015

Papers citing "Resiliency of Deep Neural Networks under Quantization"

24 / 24 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 38 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 40 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 25 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 27 19 0 20 May 2023
Hyperspherical Quantization: Toward Smaller and More Accurate Models Dan Liu X. Chen Chen-li Ma Xue Liu MQ 20 3 0 24 Dec 2022
Elastic-Link for Binarized Neural Network Jie Hu Ziheng Wu Vince Tan Zhilin Lu Mengze Zeng Enhua Wu MQ 16 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 12 1 0 02 Aug 2021
Post-Training Quantization for Vision Transformer Zhenhua Liu Yunhe Wang Kai Han Siwei Ma Wen Gao ViT MQ 39 321 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 20 18 0 16 Apr 2021
Reduced-Order Neural Network Synthesis with Robustness Guarantees R. Drummond M. Turner S. Duncan 11 9 0 18 Feb 2021
Quantized Neural Networks: Characterization and Holistic Optimization Yoonho Boo Sungho Shin Wonyong Sung MQ 27 8 0 31 May 2020
ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network David Gschwend 13 64 0 14 May 2020
SNIFF: Reverse Engineering of Neural Networks with Fault Attacks J. Breier Dirmanto Jap Xiaolu Hou S. Bhasin Yang Liu 13 3,912 0 23 Feb 2020
QKD: Quantization-aware Knowledge Distillation Jangho Kim Yash Bhalgat Jinwon Lee Chirag I. Patel Nojun Kwak MQ 14 63 0 28 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 10 304 0 28 Jan 2019
A Survey on Methods and Theories of Quantized Neural Networks Yunhui Guo MQ 27 230 0 13 Aug 2018
BitNet: Bit-Regularized Deep Neural Networks Aswin Raghavan Mohamed R. Amer S. Chai Graham Taylor MQ 22 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 28 35 0 31 Jul 2017
Fixed-point optimization of deep neural networks with adaptive step size retraining Sungho Shin Yoonho Boo Wonyong Sung MQ 21 34 0 27 Feb 2017
ModelHub: Towards Unified Data and Lifecycle Management for Deep Learning Hui Miao Ang Li L. Davis Amol Deshpande VLM MU 21 127 0 18 Nov 2016
YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN Acceleration Renzo Andri Lukas Cavigelli D. Rossi Luca Benini 15 196 0 17 Jun 2016
Ristretto: Hardware-Oriented Approximation of Convolutional Neural Networks Philipp Gysel 24 127 0 20 May 2016
Convolutional Neural Networks using Logarithmic Data Representation Daisuke Miyashita Edward H. Lee B. Murmann MQ 19 425 0 03 Mar 2016
Binarized Neural Networks Itay Hubara Daniel Soudry Ran El-Yaniv MQ 26 1,351 0 08 Feb 2016