机构

• 自动化研究所 [6]
• 数学与系统科学研究院 [3]
• 计算技术研究所 [2]
• 重庆绿色智能技术研究... [2]

采集方式

• OAI收割 [13]

内容类型

• 期刊论文 [12]
• 学位论文 [1]

发表日期

• 2024 [1]
• 2022 [2]
• 2021 [4]
• 2020 [2]
• 2019 [2]
• 2009 [1]
• 更多

学科主题

筛选

浏览/检索结果: 共13条，第1-10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 Sketch-fusion: A gradient compression method with multi-layer fusion for communication-efficient distributed training 期刊论文  OAI收割 JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2024, 卷号: 185, 页码: 10 作者:  Dai, Lingfei;  Gong, Luqi;  An, Zhulin;  Xu, Yongjun;  Diao, Boyu   |  收藏  |  浏览/下载：17/0  |  提交时间：2024/05/20 Gradient compression  Multi-layer fusion  Distributed stochastic gradient descent  Deep learning training   A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices 期刊论文  OAI收割 IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 3, 页码: 784-794 作者:  Yuan, Ye;  He, Qiang;  Luo, Xin;  Shang, Mingsheng   |  收藏  |  浏览/下载：41/0  |  提交时间：2022/08/22 Computational modeling  Sparse matrices  Big Data  Data models  Stochastic processes  Training  Software algorithms  Big data  latent factor analysis  generally multilayered structure  deep forest  multilayered extreme learning machine  randomized-learning  high-dimensional and sparse matrix  stochastic gradient descent  randomized model   Towards Better Generalization of Deep Neural Networks via Non-Typicality Sampling Scheme 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 11 作者:  Peng, Xinyu;  Wang, Fei-Yue;  Li, Li   |  收藏  |  浏览/下载：28/0  |  提交时间：2022/06/06 Training  Estimation  Deep learning  Standards  Optimization  Noise measurement  Convergence  Deep learning  generalization performance  nontypicality sampling scheme  stochastic gradient descent (SGD)   A Minibatch Proximal Stochastic Recursive Gradient Algorithm Using a Trust-Region-Like Scheme and Barzilai-Borwein Stepsizes 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 10, 页码: 4627-4638 作者:  Yu, Tengteng;  Liu, Xin-Wei;  Dai, Yu-Hong;  Sun, Jie   |  收藏  |  浏览/下载：18/0  |  提交时间：2022/04/02 Convergence  Convex functions  Risk management  Gradient methods  Learning systems  Sun  Barzilai-Borwein (BB) method  empirical risk minimization (ERM)  proximal method  stochastic gradient  trust-region   Drill the Cork of Information Bottleneck by Inputting the Most Important Data 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13 作者:  Peng, Xinyu;  Zhang, Jiawei;  Wang, Fei-Yue;  Li, Li   |  收藏  |  浏览/下载：14/0  |  提交时间：2022/01/27 Training  Signal to noise ratio  Mutual information  Optimization  Convergence  Deep learning  Tools  Information bottleneck (IB) theory  machine learning  minibatch stochastic gradient descent (SGD)  typicality sampling   Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning 期刊论文  OAI收割 IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2021, 卷号: 8, 期号: 2, 页码: 402-411 作者:  Luo, Xin;  Qin, Wen;  Dong, Ani   |  收藏  |  浏览/下载：23/0  |  提交时间：2021/03/17 Big data  industrial application  industrial data  latent factor analysis  machine learning  parallel algorithm  recommender system (RS)  stochastic gradient descent (SGD)   Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 2, 页码: 402-411 作者:  Xin Luo;  Wen Qin;  Ani Dong;  Khaled Sedraoui   |  收藏  |  浏览/下载：16/0  |  提交时间：2021/04/09 Big data  industrial application  industrial data  latent factor analysis  machine learning  parallel algorithm  recommender system (RS)  stochastic gradient descent (SGD)   Accelerating Minibatch Stochastic Gradient Descent Using Typicality Sampling 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 11, 页码: 4649-4659 作者:  Peng, Xinyu;  Li, Li;  Wang, Fei-Yue   |  收藏  |  浏览/下载：20/0  |  提交时间：2021/01/06 Training  Convergence  Approximation algorithms  Stochastic processes  Estimation  Optimization  Acceleration  Batch selection  machine learning  minibatch stochastic gradient descent (SGD)  speed of convergence   Primal Averaging: A New Gradient Evaluation Step to Attain the Optimal Individual Convergence 期刊论文  OAI收割 IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 2, 页码: 835-845 作者:  Tao, Wei;  Pan, Zhisong;  Wu, Gaowei;  Tao, Qing   |  收藏  |  浏览/下载：33/0  |  提交时间：2020/03/30 Convergence  Convex functions  Machine learning  Optimization methods  Linear programming  Cybernetics  Individual convergence  machine learning  mirror descent (MD) methods  regularized learning problems  stochastic gradient descent (SGD)  stochastic optimization   OptQuant: Distributed training of neural networks with optimized quantization mechanisms 期刊论文  OAI收割 NEUROCOMPUTING, 2019, 卷号: 340, 页码: 233-244 作者:  He, Li;  Zheng, Shuxin;  Chen, Wei;  Ma, Zhi-Ming;  Liu, Tie-Yan   |  收藏  |  浏览/下载：35/0  |  提交时间：2019/12/13 Distributed machine learning  Deep learning  Stochastic gradient descent  Gradient quantization