机构

• 自动化研究所 [4]
• 计算技术研究所 [3]
• 数学与系统科学研究院 [1]
• 国家天文台 [1]

采集方式

• OAI收割 [9]

内容类型

• 期刊论文 [9]

发表日期

• 2023 [3]
• 2022 [2]
• 2021 [2]
• 2020 [2]

学科主题

筛选

浏览/检索结果: 共9条，第1-9条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 GAIA-Universe: Everything is Super-Netify 期刊论文  OAI收割 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 10, 页码: 11856-11868 作者:  Peng, Junran;  Chang, Qing;  Yin, Haoran;  Bu, Xingyuan;  Sun, Jiajun   |  收藏  |  浏览/下载：95/0  |  提交时间：2023/11/16 Computer vision  object detection  semantic segmentation  AutoML   A Coordinated Model Pruning and Mapping Framework for RRAM-Based DNN Accelerators 期刊论文  OAI收割 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2023, 卷号: 42, 期号: 7, 页码: 2364-2376 作者:  Qu, Songyun;  Li, Bing;  Zhao, Shixin;  Zhang, Lei;  Wang, Ying   |  收藏  |  浏览/下载：17/0  |  提交时间：2023/12/04 AutoML  bit-pruning  deep neural networks (DNNs)  resistive random access memory (RRAM)   Effective Model Compression via Stage-wise Pruning 期刊论文  OAI收割 Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 937-951 作者:  Ming-Yang Zhang;  Xin-Yi Yu;  Lin-Lin Ou   |  收藏  |  浏览/下载：2/0  |  提交时间：2024/04/23 Automated machine learning (AutoML), channel pruning, model compression, distillation, convolutional neural networks (CNN)   Multi-modal spatio-temporal meteorological forecasting with deep neural network 期刊论文  OAI收割 ISPRS Journal of Photogrammetry and Remote Sensing, 2022, 页码: 14 作者:  Xinbang Zhang;  Qizhao Jin;  Tingzhao Yu;  Shiming Xiang;  Qiuming Kuang   |  收藏  |  浏览/下载：45/0  |  提交时间：2022/07/01 Meterological forecasting  Deep learning  Neural architecture search  AutoML   An Automated Quantization Framework for High-Utilization RRAM-Based PIM 期刊论文  OAI收割 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 3, 页码: 583-596 作者:  Li, Bing;  Qu, Songyun;  Wang, Ying   |  收藏  |  浏览/下载：44/0  |  提交时间：2022/12/07 Quantization (signal)  Neural networks  Computational modeling  Data models  Hardware  Resource management  Arrays  AutoML  neural network  processing-in-memory (PIM)  quantization  resistive memory (RRAM)   One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting 期刊论文  OAI收割 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 9, 页码: 2921-2935 作者:  Zhang, Miao;  Li, Huiqi;  Pan, Shirui;  Chang, Xiaojun;  Zhou, Chuan   |  收藏  |  浏览/下载：62/0  |  提交时间：2021/10/26 Computer architecture  Training  Optimization  Neural networks  Search methods  Australia  Germanium  AutoML  neural architecture search  continual learning  catastrophic forgetting  novelty search   BlockQNN: Efficient Block-Wise Neural Network Architecture Generation 期刊论文  OAI收割 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 7, 页码: 2314-2328 作者:  Zhong, Zhao;  Yang, Zichen;  Deng, Boyang;  Yan, Junjie;  Wu, Wei   |  收藏  |  浏览/下载：89/0  |  提交时间：2021/11/03 Computer architecture  Task analysis  Neural networks  Network architecture  Graphics processing units  Acceleration  Indexes  Convolutional neural network  neural architecture search  AutoML  reinforcement learning  Q-learning   Pruning SMAC search space based on key hyperparameters 期刊论文  OAI收割 CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2020, 页码: 11 作者:  Li, Hui;  Liang, Qingqing;  Chen, Mei;  Dai, Zhenyu;  Li, Huanjun   |  收藏  |  浏览/下载：26/0  |  提交时间：2021/12/06 hyperparameter optimization  SMAC  pruning  key hyperparameters  AutoML   AccSMBO:一种基于超参梯度和元学习的SMBO加速算法 期刊论文  OAI收割 计算机研究与发展, 2020, 卷号: 57, 期号: 12, 页码: 2596 作者:  程大宁;  张汉平;  夏粉;  李士刚;  袁良   |  收藏  |  浏览/下载：3/0  |  提交时间：2024/05/20 AutoML  SMBO  black box optimization  hypergradient  metalearning  parallel resource allocation  AutoML技术  SMBO算法  黑箱调优算法  超参梯度  元学习  并行资源调度