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检索条件"机构=CAS Key Lab of Network Data Science and Technology Institute of Computing Technology"
374 条 记 录,以下是161-170 订阅
排序:
Match-ignition: Plugging PageRank into transformer for long-form text matching
arXiv
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arXiv 2021年
作者: Pang, Liang Lan, Yanyan Cheng, Xueqi Data Intelligence System Research Center Institute of Computing Technology Chinese Academy of Sciences Beijing China Institute for AI Industry Research Tsinghua University Beijing China CAS Key Lab of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing China
Neural text matching models have been widely used in community question answering, information retrieval, and dialogue. However, these models designed for short texts cannot well address the long-form text matching pr...
来源: 评论
The minority matters: a diversity-promoting collaborative metric learning algorithm  22
The minority matters: a diversity-promoting collaborative me...
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Proceedings of the 36th International Conference on Neural Information Processing Systems
作者: Shilong Bao Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang State Key Laboratory of Information Security Institute of Information Engineering CAS and School of Cyber Security University of Chinese Academy of Sciences Key Lab. of Intelligent Information Processing Institute of Computing Technology CAS School of Computer Science and Tech. University of Chinese Academy of Sciences Alibaba Group School of Cyber Science and Technology Shenzhen Campus Sun Yat-sen University Key Lab. of Intelligent Information Processing Institute of Computing Technology CAS and School of Computer Science and Tech. University of Chinese Academy of Sciences and Key Laboratory of Big Data Mining and Knowledge Management CAS and Peng Cheng Laboratory
Collaborative Metric Learning (CML) has recently emerged as a popular method in recommendation systems (RS), closing the gap between metric learning and Collaborative Filtering. Following the convention of RS, existin...
来源: 评论
Deepfake network Architecture Attribution
arXiv
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arXiv 2022年
作者: Yang, Tianyun Huang, Ziyao Cao, Juan Li, Lei Li, Xirong Key Lab of Intelligent Information Processing Institute of Computing Technology CAS Beijing China University of Chinese Academy of Sciences Beijing China Key Lab of Data Engineering and Knowledge Engineering Renmin University of China China
With the rapid progress of generation technology, it has become necessary to attribute the origin of fake images. Existing works on fake image attribution perform multi-class classification on several Generative Adver... 详细信息
来源: 评论
Transductive learning for unsupervised text style transfer
arXiv
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arXiv 2021年
作者: Xiao, Fei Pang, Liang Lan, Yanyan Wang, Yan Shen, Huawei Cheng, Xueqi Data Intelligence System Research Center Cas Key Lab of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Institute for Ai Industry Research Tsinghua University University of Chinese Academy of Sciences Tencent Ai Lab
Unsupervised style transfer models are mainly based on an inductive learning approach, which represents the style as embeddings, decoder parameters, or discriminator parameters and directly applies these general rules... 详细信息
来源: 评论
BiKT: Unleashing the potential of GNNs via Bi-directional Knowledge Transfer
arXiv
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arXiv 2023年
作者: Zheng, Shuai Liu, Zhizhe Zhu, Zhenfeng Zhang, Xingxing Li, Jianxin Zhao, Yao The Institute of Information Science Beijing Jiaotong University Beijing100044 China The Beijing Key Laboratory of Advanced Information Science and Network Technology Beijing100044 China Qiyuan Lab Beijing China The Beijing Advanced Innovation Center for Big Data and Brain Computing School of Computer Science and Engineering Beihang University Beijing100083 China
Based on the message-passing paradigm, there has been an amount of research proposing diverse and impressive feature propagation mechanisms to improve the performance of GNNs. However, less focus has been put on featu... 详细信息
来源: 评论
PGGAN: Improve Password Cover Rate Using the Controller
PGGAN: Improve Password Cover Rate Using the Controller
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2021 International Conference on Computer network Security and Software Engineering, CNSSE 2021
作者: Guo, Xiaozhou Liu, Yi Tan, Kaijun Jin, Min Lu, Huaxiang Institute of Semiconductors Chinese Academy of Sciences Beijing100083 China University of Chinese Academy of Sciences Beijing100089 China Cas Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of Sciences Beijing200031 China Semiconductor Neural Network Intelligent Perception and Computing Technology Beijing Key Lab Beijing100083 China
Password generation model based on generative adversarial network usually has the problem of high duplicate rate, which further leads to low cover rate. In this regard, we propose PGGAN model. It sets up an additional... 详细信息
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SAFL-Net: Semantic-Agnostic Feature Learning network with Auxiliary Plugins for Image Manipulation Detection
SAFL-Net: Semantic-Agnostic Feature Learning Network with Au...
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International Conference on Computer Vision (ICCV)
作者: Zhihao Sun Haoran Jiang Danding Wang Xirong Li Juan Cao Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences School of Mathematics Science University of Chinese Academy of Sciences MoE Key Lab of Data Engineering and Knowledge Engineering Renmin University of China
Since image editing methods in real world scenarios cannot be exhausted, generalization is a core challenge for image manipulation detection, which could be severely weakened by semantically related features. In this ...
来源: 评论
Sdgan: Improve Speech Enhancement Quality by Information Filter  6
Sdgan: Improve Speech Enhancement Quality by Information Fil...
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2021 6th International Symposium on Advances in Electrical, Electronics and Computer Engineering, ISAEECE 2021
作者: Guo, Xiaozhou Liu, Yi Mao, Wenyu Li, Jixing Li, Wenchang Gong, Guoliang Lu, Huaxiang Institute of Semiconductors Chinese Academy of Sciences Beijing100083 China University of Chinese Academy of Sciences Beijing100089 China CAS Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of Sciences Beijing200031 China Semiconductor Neural Network Intelligent Perception and Computing Technology Beijing Key Lab Beijing100083 China
The speech denoising model based on adversarial generative network has achieved better results than the traditional machine learning model. In this paper, for the short cut connection in the generator, we discuss its ... 详细信息
来源: 评论
Self-supervised GANs with label augmentation  21
Self-supervised GANs with label augmentation
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Proceedings of the 35th International Conference on Neural Information Processing Systems
作者: Liang Hou Huawei Shen Qi Cao Xueqi Cheng Data Intelligence System Research Center Institute of Computing Technology Chinese Academy of Sciences and University of Chinese Academy of Sciences Data Intelligence System Research Center Institute of Computing Technology Chinese Academy of Sciences CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences and University of Chinese Academy of Sciences
Recently, transformation-based self-supervised learning has been applied to generative adversarial networks (GANs) to mitigate catastrophic forgetting in the discriminator by introducing a stationary learning environm...
来源: 评论
Online Midgress-Sensitive Traffic Allocation for Percentile Charging in Pracitcal CDNs
Online Midgress-Sensitive Traffic Allocation for Percentile ...
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International Workshop on Quality of Service
作者: Huiyou Zhan Haisheng Tan Huang Xu Chi Zhang Hongqiu Ni Pengfei Zhang Weihua Shan Xiang-Yang Li CAS Key Lab of Wireless-Optical Communications University of Science and Technology of China China USTC-Deqing Alpha Innovation Research Institute Zhejiang China Algorithm Innovation Lab Huawei Cloud Computing Technologies Co. Ltd. Xi'an China
The traffic bandwidth costs comprise a significant amount of operating expenditure in CDNs, induced by the traffic from the end-users to edge servers (edge cost) and from the edge to the center servers (midgress cost)...
来源: 评论