Concepedia

Dataset Bias

Dataset Bias is a systematic deviation in the composition or distribution of a visual question answering dataset that unrepresentatively aligns model learning with dataset-specific artifacts rather than the underlying task semantics, thereby confounding generalization to broader or independent data distributions.

352

Publications

36.7K

Citations

1.3K

Authors

471

Institutions

Publications per year

2017–2026

300

Parents

Publications

352

Adversarial Discriminative Domain Adaptation

Eric Tzeng, Judy Hoffman, Kate Saenko et al. · 2017 · 5K citations

, , +14

Learning Transferable Features with Deep Adaptation Networks

Mingsheng Long, Yue Cao, Jianmin Wang et al. · arXiv (Cornell University) · 2015 · 2.8K citations · Full text

, , +13

Unbiased look at dataset bias

Antonio Torralba, Alexei A. Efros · 2011 · 2.4K citations

, , +15

The Secrets of Salient Object Segmentation

Yin Li, Xiaodi Hou, Christof Koch et al. · 2014 · 1.4K citations · Full text

, , +17

Deeper, Broader and Artier Domain Generalization

Da Li, Yongxin Yang, Yi-Zhe Song et al. · 2017 · 1.3K citations · Full text

, , +13

1–5 of 352

Authors

1.3K

  1. TD
    Trevor Darrell

    University of California, Berkeley, United States

    8 publications · 5.9K citations

    8

    h-index

  2. KS
    Kate Saenko

    University of California, Berkeley, United States

    8 publications · 6K citations

    8

    h-index

  3. YC
    Yejin Choi

    University of Washington, United States

    7 publications · 1.1K citations

    7

    h-index

  4. RL
    Ronan Le Bras

    University of Washington, United States

    6 publications · 1K citations

    6

    h-index

  5. YB
    Yonatan Belinkov

    Technion – Israel Institute of Technology, Israel

    6 publications · 257 citations

    6

    h-index

1–5 of 1.3K

Institutions

471

  1. University of California, Berkeley

    Berkeley, United States

    12 h-index

    29 publications

    20.9K citations

  2. Peking University

    Beijing, China

    11 h-index

    25 publications

    948 citations

  3. University of Chinese Academy of Sciences

    Beijing, China

    11 h-index

    34 publications

    1.2K citations

  4. Stanford University

    Stanford, United States

    10 h-index

    26 publications

    6.5K citations

  5. Allen Institute

    Seattle, United States

    9 h-index

    21 publications

    4.7K citations

  6. Allen Institute for Artificial Intelligence

    Seattle, United States

    9 h-index

    16 publications

    1.2K citations

  7. Tsinghua University

    Beijing, China

    8 h-index

    17 publications

    13.1K citations

  8. Google (United States)

    Mountain View, United States

    8 h-index

    24 publications

    1.6K citations

1–8 of 471

Venues

  1. arXiv (Cornell University)

    Repository · 75 publications · 7.5K citations

    31

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 14 publications · 1.2K citations

    13

    h-index

  3. 7

    h-index

  4. IEEE Access

    6 publications · 177 citations

    6

    h-index

  5. 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

    Conference · 4 publications · 409 citations

    4

    h-index

1–5