Large-scale Deep Learning at Baidu

被引:22
|
作者
Yu, Kai [1 ]
机构
[1] Baidu Inc, Beijing, Peoples R China
关键词
Deep Learning; Baidu;
D O I
10.1145/2505515.2514699
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
引用
收藏
页码:2211 / 2211
页数:1
相关论文
共 50 条
  • [1] Large-scale transport simulation by deep learning
    Jie Pan
    [J]. Nature Computational Science, 2021, 1 : 306 - 306
  • [2] Tractable large-scale deep reinforcement learning
    Sarang, Nima
    Poullis, Charalambos
    [J]. COMPUTER VISION AND IMAGE UNDERSTANDING, 2023, 232
  • [3] The three pillars of large-scale deep learning
    Hoefler, Torsten
    [J]. 2021 IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM WORKSHOPS (IPDPSW), 2021, : 908 - 908
  • [4] Large-scale transport simulation by deep learning
    Pan, Jie
    [J]. NATURE COMPUTATIONAL SCIENCE, 2021, 1 (05): : 306 - 306
  • [5] Learning Deep Representation with Large-scale Attributes
    Ouyang, Wanli
    Li, Hongyang
    Zeng, Xingyu
    Wang, Xiaogang
    [J]. 2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), 2015, : 1895 - 1903
  • [6] Deep Learning on Large-scale Muticore Clusters
    Sakiyama, Kazumasa
    Kato, Shinpei
    Ishikawa, Yutaka
    Hori, Atsushi
    Monrroy, Abraham
    [J]. 2018 30TH INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE AND HIGH PERFORMANCE COMPUTING (SBAC-PAD 2018), 2018, : 314 - 321
  • [7] Large-scale Pollen Recognition with Deep Learning
    de Geus, Andre R.
    Barcelos, Celia A. Z.
    Batista, Marcos A.
    da Silva, Sergio F.
    [J]. 2019 27TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2019,
  • [8] Deep learning for the large-scale cancer data analysis
    Tsuji, Shingo
    Aburatani, Hiroyuki
    [J]. CANCER RESEARCH, 2015, 75 (22)
  • [9] Deep Reinforcement Learning for Large-Scale Epidemic Control
    Libin, Pieter J. K.
    Moonens, Arno
    Verstraeten, Timothy
    Perez-Sanjines, Fabian
    Hens, Niel
    Lemey, Philippe
    Nowe, Ann
    [J]. MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES: APPLIED DATA SCIENCE AND DEMO TRACK, ECML PKDD 2020, PT V, 2021, 12461 : 155 - 170
  • [10] HammingMesh: A Network Topology for Large-Scale Deep Learning
    Hoefler, Torsten
    Bonato, Tommaso
    De Sensi, Daniele
    Di Girolamo, Salvatore
    Li, Shigang
    Heddes, Marco
    Belk, Jon
    Goel, Deepak
    Castro, Miguel
    Scott, Steve
    [J]. SC22: INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS, 2022,