NON-UNIFORM QUANTIZATION OF PRE-TRAINED DEEP NEURAL NETWORK

• 1. 一种基于非均匀量化的神经网络权值压缩方法及使用方法 [P] . 中国专利： CN108133266B . 2021.07.09
• 2. 一种神经网络的非均匀量化方法 [P] . 中国专利： CN112712164A . 2021-04-27
• 3. A SYSTEM AND A METHOD FOR NON-UNIFORM QUANTIZATION OF PRE-TRAINED DEEP NEURAL NETWORK [P] . 韩国专利： KR20200035198A . 2020-04-02

  机译： 预训练深层神经网络非均匀量化的系统和方法

• 4. PRE-TRAINED DEEP NEURAL NETWORK MODEL-BASED USER CHURN PREDICTION SYSTEM [P] . WO2022012605A1 . 2022-01-20

  机译： 基于预训练的深度神经网络模型的用户潮预测系统

• 5. VALIDATION OF DEEP NEURAL NETWORK (DNN) PREDICTION BASED ON PRE-TRAINED CLASSIFIER [P] . US2021303986A1 . 2021-09-30

  机译： 基于预训练分类器的深神经网络（DNN）预测的验证

• 1. DSNNs:learning transfer from deep neural networks to spiking neural networks [J] . Zhang Lei, Du Zidong, Li Ling, 高技术通讯（英文版） . 2020,第002期
• 2. Deep Learning in Sheet Metal Bending With a Novel Theory-Guided Deep Neural Network [J] . Shiming Liu, Yifan Xia, Zhusheng Shi, 自动化学报（英文版） . 2021,第003期
• 3. Deep Learning in Sheet Metal Bending With a Novel Theory-Guided Deep Neural Network [J] . Shiming Liu, Yifan Xia, Zhusheng Shi, 自动化学报：英文版 . 2021,第003期
• 4. Deep learning neural networks for spatially explicit prediction of flash flood probability [J] . Mahdi Panahi, Abolfazl Jaafari, Ataollah Shirzadi, 地学前缘(英文版) . 2021,第003期
• 5. CNQ: Compressor-Based Non-uniform Quantization of Deep Neural Networks [J] . YUAN Yong, CHEN Chen, HU Xiyuan, 电子学报（英文版） . 2020,第006期
• 6. Efficient Weights Quantization of Convolutional Neural Networks Using Kernel Density Estimation based Non-uniform Quantizer [J] . Sanghyun Seo, Juntae Kim Applied Sciences . 2019,第12期
• 7. Adaptive exploitation of pre-trained deep convolutional neural networks for robust visual tracking [J] . Marvasti-Zadeh Seyed Mojtaba, Ghanei-Yakhdan Hossein, Kasaei Shohreh Multimedia Tools and Applications . 2021,第14期
• 8. L2L: A Highly Accurate Log_2_Lead Quantization of Pre-trained Neural Networks [C] . Salim Ullah, Siddharth Gupta, Kapil Ahuja, Design, Automation and Test in Europe Conference and Exhibition . 2020
• 9. Hardware for Quantized Mixed-Precision Deep Neural Networks [D] . Rios, Andres. 2021
• 10. Marker-Less Motion Capture of Insect Locomotion With Deep Neural Networks Pre-trained on Synthetic Videos [O] . Ilja Arent, Florian P. Schmidt, Mario Botsch, 2021
• 11. Adaptive exploitation of pre-trained deep convolutional neural networks for robust visual tracking [O] . Seyed Mojtaba Marvasti-Zadeh, Hossein Ghanei-Yakhdan, Shohreh Kasaei 2021

• 1. Learning Vector Quantization Neural Network Method for Network Intrusion Detection [J] . YANG Degang ,CHEN Guo ,WANG Hui . 武汉大学自然科学学报：英文版 . 2007,第1期
• 2. 针对非均匀DCT的量化索引调制隐写算法的分析 [C] . 高海英 . 第四届中国计算机网络与信息安全学术会议(CCNIS2011) . 2011
• 3. 基于颜色空间非均匀量化与多数据融合的目标跟踪算法研究 [A] . 张辰 . 2017