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浏览/检索结果: 共49条，第1-10条 帮助 限定条件 发表日期：2020    专题：计算技术研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Knowledge Augmented Dialogue Generation with Divergent Facts Selection 期刊论文 KNOWLEDGE-BASED SYSTEMS, 2020, 卷号: 210, 页码: 11 作者:  Jiang, Bin;  Yang, Jingxu;  Yang, Chao;  Zhou, Wanyue;  Pang, Liang 收藏  |  浏览/下载：53/0  |  提交时间：2021/12/01 Open-domain dialogue systems  Knowledge selection  Subject drift  Attention mechanism   Learning salient features to prevent model drift for correlation tracking 期刊论文 NEUROCOMPUTING, 2020, 卷号: 418, 页码: 1-10 作者:  Zhang, Yu;  Gao, Xingyu;  Chen, Zhenyu;  Zhong, Huicai;  Li, Liang 收藏  |  浏览/下载：42/0  |  提交时间：2021/12/01 Salient features  Drift prevention  Correlation tracking   FCDM: A Methodology Based on Sensor Pattern Noise Fingerprinting for Fast Confidence Detection to Adversarial Attacks 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 12, 页码: 4791-4804 作者:  Lan, Yazhu;  Nixon, Kent W.;  Guo, Qingli;  Zhang, Guohe;  Xu, Yuanchao 收藏  |  浏览/下载：37/0  |  提交时间：2021/12/01 Perturbation methods  Computational modeling  Data integrity  Detectors  Optimization  Field programmable gate arrays  Hardware  Adversarial attacks  confidence detection  deep neural networks (DNNs)  FPGA-based hardware architecture  sensor pattern noise (SPN)   Swallow: A Versatile Accelerator for Sparse Neural Networks 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 12, 页码: 4881-4893 作者:  Liu, Bosheng;  Chen, Xiaoming;  Han, Yinhe;  Xu, Haobo 收藏  |  浏览/下载：14/0  |  提交时间：2021/12/01 Accelerator  convolutional (Conv) layers  fully connected (FC) layers  sparse neural networks (SNNs)   Long Live TIME: Improving Lifetime and Security for NVM-Based Training-in-Memory Systems 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 12, 页码: 4707-4720 作者:  Cai, Yi;  Lin, Yujun;  Xia, Lixue;  Chen, Xiaoming;  Han, Song 收藏  |  浏览/下载：18/0  |  提交时间：2021/12/01 Gradient sparsification  lifetime  neural networks  training-in-memory  wear-leveling   Description and Climate Simulation Performance of CAS-ESM Version 2 期刊论文 JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS, 2020, 卷号: 12, 期号: 12, 页码: 35 作者:  Zhang, He;  Zhang, Minghua;  Jin, Jiangbo;  Fei, Kece;  Ji, Duoying 收藏  |  浏览/下载：40/0  |  提交时间：2021/12/01 Earth System Model  CAS‐  ESM  model calibration  climate sensitivity  DECK experiments   Shortest Uplink Scheduling for NOMA-Based Industrial Wireless Networks 期刊论文 IEEE SYSTEMS JOURNAL, 2020, 卷号: 14, 期号: 4, 页码: 5384-5395 作者:  Xu, Chaonong;  Wu, Mianze;  Xu, Yida;  Xu, Yongjun 收藏  |  浏览/下载：14/0  |  提交时间：2021/12/01 Job shop scheduling  Silicon carbide  Decoding  Uplink  Interference  NOMA  Wireless communication  Nonorthogonal multiple access (NOMA)  successive interference cancellation  uplink  schedule  media access   Leveraging maximum entropy and correlation on latent factors for learning representations 期刊论文 NEURAL NETWORKS, 2020, 卷号: 131, 页码: 312-323 作者:  He, Zhicheng;  Liu, Jie;  Dang, Kai;  Zhuang, Fuzhen;  Huang, Yalou 收藏  |  浏览/下载：33/0  |  提交时间：2020/12/10 Non-negative Matrix Factorization  Maximum entropy  Correlated latent factor learning   Enabling Secure NVM-Based in-Memory Neural Network Computing by Sparse Fast Gradient Encryption 期刊论文 IEEE TRANSACTIONS ON COMPUTERS, 2020, 卷号: 69, 期号: 11, 页码: 1596-1610 作者:  Cai, Yi;  Chen, Xiaoming;  Tian, Lu;  Wang, Yu;  Yang, Huazhong 收藏  |  浏览/下载：32/0  |  提交时间：2020/12/10 Artificial neural networks  Nonvolatile memory  Encryption  Computational modeling  Hardware  Non-volatile memory (NVM)  compute-in-memory (CIM)  neural network  security  encryption   Fusion-Catalyzed Pruning for Optimizing Deep Learning on Intelligent Edge Devices 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 11, 页码: 3614-3626 作者:  Li, Guangli;  Ma, Xiu;  Wang, Xueying;  Liu, Lei;  Xue, Jingling 收藏  |  浏览/下载：31/0  |  提交时间：2021/12/01 Deep learning system  edge intelligence  model compression and acceleration  neural networks