TOOLS AND TASKS FOR LEARNING AND META-LEARNING

被引:0
|
作者
Jaworski, Barbara
机构
关键词
D O I
10.1007/s10857-005-5165-2
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
引用
收藏
页码:359 / 361
页数:3
相关论文
共 50 条
  • [1] Tools and Tasks for Learning and Meta-learning
    Barbara Jaworski
    [J]. Journal of Mathematics Teacher Education, 2005, 8 (5) : 359 - 361
  • [2] Meta-learning of Text Classification Tasks
    Madrid, Jorge G.
    Jair Escalante, Hugo
    [J]. PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS (CIARP 2019), 2019, 11896 : 107 - 119
  • [3] Reconciling meta-learning and continual learning with online mixtures of tasks
    Jerfel, Ghassen
    Grant, Erin
    Griffiths, Thomas L.
    Heller, Katherine
    [J]. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), 2019, 32
  • [4] Meta-Learning over Time for Destination Prediction Tasks
    Tenzer, Mark
    Rasheed, Zeeshan
    Shafique, Khurram
    Vasconcelos, Nuno
    [J]. 30TH ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS, ACM SIGSPATIAL GIS 2022, 2022, : 330 - 339
  • [5] What Matters For Meta-Learning Vision Regression Tasks?
    Gao, Ning
    Ziesche, Hanna
    Ngo Anh Vien
    Volpp, Michael
    Neumann, Gerhard
    [J]. 2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022), 2022, : 14756 - 14766
  • [6] Meta-learning from Tasks with Heterogeneous Attribute Spaces
    Iwata, Tomoharu
    Kumagai, Atsutoshi
    [J]. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 33, NEURIPS 2020, 2020, 33
  • [7] How to Distribute Data across Tasks for Meta-Learning?
    Cioba, Alexandru
    Bromberg, Michael
    Wang, Qian
    Niyogi, Ritwik
    Batzolis, Georgios
    Garcia, Jezabel
    Shiu, Da-shan
    Bernacchia, Alberto
    [J]. THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / THE TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2022, : 6394 - 6401
  • [8] Hierarchical Meta-Learning with Hyper-Tasks for Few-Shot Learning
    Guan, Yunchuan
    Liu, Yu
    Zhou, Ke
    Huang, Junyuan
    [J]. PROCEEDINGS OF THE 32ND ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2023, 2023, : 587 - 596
  • [9] Meta-Learning Based Tasks Similarity Representation for Cross Domain Lifelong Learning
    Shen, Mingge
    Chen, Dehu
    Ren, Teng
    [J]. IEEE ACCESS, 2023, 11 : 36692 - 36701
  • [10] Learning Meta-Learning (LML) dataset: Survey data of meta-learning parameters
    Corraya, Sonia
    Al Mamun, Shamim
    Kaiser, M. Shamim
    [J]. DATA IN BRIEF, 2023, 51