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PSAQ-ViT V2: Toward Accurate and General Data-Free Quantization for Vision Transformers
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 12
作者:
Li, Zhikai
;
Chen, Mengjuan
;
Xiao, Junrui
;
Gu, Qingyi
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2023/11/17
Data-free quantization
model compression
patch similarity
quantized vision transformers (ViTs)
An unsupervised STDP-based spiking neural network inspired by biologically plausible learning rules and connections
期刊论文
NEURAL NETWORKS, 2023, 卷号: 165, 页码: 799-808
作者:
Dong, Yiting
;
Zhao, Dongcheng
;
Li, Yang
;
Zeng, Yi
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2023/11/17
Spiking neural network
Unsupervised
Plasticity learning rule
Brain inspired connection
Force measurement using strain-gauge balance in shock tunnel based on deep learning
期刊论文
CHINESE JOURNAL OF AERONAUTICS, 2023, 卷号: 36, 期号: 8, 页码: 43-53
作者:
Nie SJ(聂少军)
;
Wang YP(汪运鹏)
;
Jiang ZL(姜宗林)
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/02/26
Convolutional neural net-works
Deep learning
Frequency domain analysis
Force measurement
Time domain analysis
Recurrent neural networks
Accessibility of Primary Schools in Rural Areas and the Impact of Topography: A Case Study in Nanjiang County, China
期刊论文
LAND, 2023, 卷号: 12, 期号: 6, 页码: 18
作者:
Zhu, Yuanyuan
;
Zinda, John Aloysius
;
Liu, Qin
;
Wang, Yukuan
;
Fu, Bin
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  |  
浏览/下载:0/0
  |  
提交时间:2023/11/13
accessibility
education policy
primary school
spatial justice
rural development
Cost optimization of UAV-MEC network calculation offloading: A multi-agent reinforcement learning method
期刊论文
Ad Hoc Networks, 2022, 卷号: 136
作者:
Xue, Jianbin
;
Wu, Qingqing
;
Zhang, Haijun
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2022/09/22
Antennas
computation offloading
Convex optimization
Cost effectiveness
Deep learning
Energy utilization
Learning algorithms
Learning systems
Markov processes
Mobile edge computing
Multi agent systems
Power control
Reinforcement learning
Unmanned aerial vehicles (UAV)
Aerial vehicle
Computation offloading
Costs Optimization
Deep reinforcement learning
Edge computing
Multi-access edge computing
Multiaccess
Reinforcement learnings
Unmanned aerial vehicle
User equipments
Application of unlabelled big data and deep semi-supervised learning to significantly improve the logging interpretation accuracy for deep-sea gas hydrate-bearing sediment reservoirs
期刊论文
ENERGY REPORTS, 2022, 卷号: 8, 页码: 2947-2963
作者:
Zhu, Linqi
;
Wei, Jiangong
;
Wu, Shiguo
;
Zhou, Xueqing
;
Sun, Jin
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2022/05/20
Gas hydrate-bearing sediments
Deep learning
Big data application
India national gas hydrate program
Distributed system identification for linear stochastic systems with binary sensors
期刊论文
AUTOMATICA, 2022, 卷号: 141, 页码: 13
作者:
Fu, Kewei
;
Chen, Han-Fu
;
Zhao, Wenxiao
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2023/02/07
Distributed system identification
Binary-valued sensor
Stochastic approximation
Consensus
Convergence
Strong consistency
Block Convolution: Toward Memory-Efficient Inference of Large-Scale CNNs on FPGA
期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 5, 页码: 1436-1447
作者:
Li, Gang
;
Liu, Zejian
;
Li, Fanrong
;
Cheng, Jian
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2022/06/10
Convolution
Field programmable gate arrays
System-on-chip
Task analysis
Random access memory
Tensors
Memory management
Block convolution
convolutional neural network (CNN) accelerator
field-programmable gate array (FPGA)
memory efficient
off-chip transfer
Trans-ResNet: Integrating Transformers and CNNs for Alzheimer's disease classification
会议论文
印度,加尔各答, 2022-3-28
作者:
Li C(李超)
;
Cui Y(崔玥)
;
Luo N(罗娜)
;
Liu Y(刘勇)
;
Bourgeat Pierrick
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2022/06/23
convolutional neural network
deep learning
structural MRI
transfer learning
Transformer
Fuzzy C-Means Clustering Based Deep Patch Learning With Improved Interpretability for Classification Problems
期刊论文
IEEE ACCESS, 2022, 卷号: 10, 页码: 49873-49891
作者:
Huang, Yunhu
;
Chen, Dewang
;
Zhao, Wendi
;
Lv, Yisheng
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2022/07/25
Computational modeling
Training
Microwave integrated circuits
Deep learning
Data models
Artificial neural networks
Training data
Fuzzy c-means (FCM) clustering
maximal information coefficient (MIC)
random input (RI)
deep patch learning classifier
interpretability
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