Concepedia

Multi-task Learning Theory

Multi-Task Learning Theory is a formal theoretical framework that characterizes the principles and mechanisms underlying the joint optimization of multiple related learning tasks, distinguishing itself by modeling shared representations, task relationships, and inductive biases to improve generalization across tasks.

213

Publications

17.6K

Citations

740

Authors

276

Institutions

Publications per year

2017–2026

147

Parents

Publications

213

A Survey on Multi-Task Learning

Yu Zhang, Qiang Yang · IEEE Transactions on Knowledge and Data Engineering · 2021 · 2.2K citations

, , +16

CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

Yue Wang, Weishi Wang, Shafiq Joty et al. · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · 2021 · 1.3K citations · Full text

, , +13

DeepTox: Toxicity Prediction using Deep Learning

Andreas Mayr, Günter Klambauer, Thomas Unterthiner et al. · Frontiers in Environmental Science · 2016 · 1K citations · Full text

, , +14

Multi-Task Learning for Dense Prediction Tasks: A Survey

Simon Vandenhende, Stamatios Georgoulis, Wouter Van Gansbeke et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2021 · 762 citations · Full text

, , +15

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

Xuehai He, Jinyu Zhao, Yichen Zhang et al. · arXiv (Cornell University) · 2020 · 729 citations · Full text

, , +11

1–5 of 213

Authors

740

  1. MP
    Massimiliano Pontil

    University College London, United Kingdom

    6 publications · 732 citations

    6

    h-index

  2. CA
    Charles A. Micchelli

    IBM Research - Thomas J. Watson Research Center, United States

    4 publications · 604 citations

    4

    h-index

  3. YZ
    Yu Zhang

    Hong Kong University of Science and Technology, Hong Kong SAR China

    3 publications · 2.8K citations

    3

    h-index

  4. JH
    Jizhou Huang

    Baidu (China), China

    3 publications · 202 citations

    3

    h-index

  5. FB
    Francis Bach

    Institut national de recherche en sciences et technologies du numérique, France

    3 publications · 477 citations

    3

    h-index

1–5 of 740

Institutions

276

  1. Peng Cheng Laboratory

    Shenzhen, China

    7 h-index

    11 publications

    2.5K citations

  2. Hong Kong University of Science and Technology

    Hong Kong, Hong Kong

    6 h-index

    14 publications

    3.9K citations

  3. University of Oxford

    Oxford, United Kingdom

    6 h-index

    6 publications

    201 citations

  4. Carnegie Mellon University

    Pittsburgh, United States

    5 h-index

    7 publications

    776 citations

  5. Tsinghua University

    Beijing, China

    5 h-index

    12 publications

    281 citations

  6. University of Cambridge

    Cambridge, United Kingdom

    5 h-index

    10 publications

    275 citations

  7. Sun Yat-sen University

    Guangzhou, China

    4 h-index

    13 publications

    406 citations

  8. Shanghai Jiao Tong University

    Shanghai, China

    4 h-index

    17 publications

    652 citations

1–8 of 276

Venues

  1. arXiv (Cornell University)

    Repository · 27 publications · 2.9K citations

    18

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 5 publications · 334 citations

    5

    h-index

  3. IEEE Access

    4 publications · 197 citations

    4

    h-index

  4. 3

    h-index

  5. 3

    h-index

1–5