中文版 | English

在结果中检索

CSpace

浏览/检索结果: 共221条，第1-10条 帮助

已选(0)清除 条数/页：   排序方式：
Mortar-FP8: Morphing the Existing FP32 Infrastructure for High-Performance Deep Learning Acceleration 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 卷号: 43, 期号: 3, 页码: 878-891
作者:  Li, Hongyan;  Lu, Hang;  Li, Xiaowei
收藏  |  浏览/下载：6/0  |  提交时间：2024/05/20
Deep learning accelerator  deep neural network (DNN)  fp8 format  
Mitigating Confounding Bias in Practical Recommender Systems With Partially Inaccessible Exposure Status 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 卷号: 46, 期号: 2, 页码: 957-974
作者:  Cao, Tianwei;  Xu, Qianqian;  Yang, Zhiyong;  Huang, Qingming
收藏  |  浏览/下载：6/0  |  提交时间：2024/05/20
Recommender system  collaborative filtering  confounding bias  debias  counterfactual learning  
Dynamic graph neural network-based fraud detectors against collaborative fraudsters 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2023, 卷号: 278, 页码: 12
作者:  Ren, Lingfei;  Hu, Ruimin;  Li, Dengshi;  Liu, Yang;  Wu, Junhang;  Zang, Yilong;  Hu, Wenyi
收藏  |  浏览/下载：12/0  |  提交时间：2023/12/04
Telecom fraud detection  Collaborative fraud  Semi -supervised learning  Dynamic graph neural network  
Mining collaborative spatio-temporal clues for face forgery detection 期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 页码: 20
作者:  Ding, Bo;  Fan, Zhenfeng;  Zhao, Zejun;  Xia, Shihong
收藏  |  浏览/下载：11/0  |  提交时间：2023/12/04
Face forgery detection  Spatial-temporal clue  Low-level feature  Collaborative learning  Multimodel attention  
Predicting the antigenic evolution of SARS-COV-2 with deep learning 期刊论文
NATURE COMMUNICATIONS, 2023, 卷号: 14, 期号: 1, 页码: 14
作者:  Han, Wenkai;  Chen, Ningning;  Xu, Xinzhou;  Sahil, Adil;  Zhou, Juexiao;  Li, Zhongxiao;  Zhong, Huawen;  Gao, Elva;  Zhang, Ruochi;  Wang, Yu;  Sun, Shiwei;  Cheung, Peter Pak-Hang;  Gao, Xin
收藏  |  浏览/下载：15/0  |  提交时间：2023/12/04
On-Line Fault Protection for ReRAM-Based Neural Networks 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2023, 卷号: 72, 期号: 2, 页码: 423-437
作者:  Li, Wen;  Wang, Ying;  Liu, Cheng;  He, Yintao;  Liu, Lian;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：18/0  |  提交时间：2023/07/12
Training  Fault detection  Computational modeling  Image edge detection  Memristors  Neural networks  Kernel  Deep neural network  hard fault  ReRAM  reliability  soft fault  
Rethinking Collaborative Metric Learning: Toward an Efficient Alternative Without Negative Sampling 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 1, 页码: 1017-1035
作者:  Bao, Shilong;  Xu, Qianqian;  Yang, Zhiyong;  Cao, Xiaochun;  Huang, Qingming
收藏  |  浏览/下载：17/0  |  提交时间：2023/07/12
Recommendation system  collaborative metric learning  negative sampling  machine learning  
Global-and-Local Collaborative Learning for Co-Salient Object Detection 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 12
作者:  Cong, Runmin;  Yang, Ning;  Li, Chongyi;  Fu, Huazhu;  Zhao, Yao;  Huang, Qingming;  Kwong, Sam
收藏  |  浏览/下载：30/0  |  提交时间：2022/12/07
Semantics  Task analysis  Feature extraction  Convolution  Object detection  Computational modeling  Collaborative work  3-D convolution  co-salient object detection (CoSOD)  global correspondence modeling (GCM)  local correspondence modeling (LCM)  
Collaborative Local-Global Learning for Temporal Action Proposal 期刊论文
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2021, 卷号: 12, 期号: 5, 页码: 14
作者:  Zhu, Yisheng;  Han, Hu;  Liu, Guangcan;  Liu, Qingshan
收藏  |  浏览/下载：32/0  |  提交时间：2022/06/21
Temporal action proposal generation  untrimmed videos  long short-term memory  attention mechanism  
Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 11, 页码: 4094-4110
作者:  Yang, Zhiyong;  Xu, Qianqian;  Cao, Xiaochun;  Huang, Qingming
收藏  |  浏览/下载：54/0  |  提交时间：2021/12/01
Task analysis  Convergence  Predictive models  Diseases  Collaborative work  Optimization  Training  Block diagonal structural learning  negative transfer  multi-task learning  global convergence