Research Experiences

Here, I listed the referred papers. ♣ represents the equal contribution.

NOTE: I strongly recommend to read the arXiv version (if available) as I update papers when needed.

I released the β version with filtering and sorting features of this page here.

  1. Shuhei Watanabe.

    AutoML Conference 2023 Workshop Track.

    (arXiv), (code), (slides), (video/transcript), (short video/transcript).
  2. Python Tool for Visualizing Variability of Pareto Fronts over Multiple Runs.
    Shuhei Watanabe.

    arXiv:2305.08852 (2023).

    (arXiv), (code).
  3. Tree-Structured Parzen Estimator: Understanding Its Algorithm Components and Their Roles for Better Empirical Performance.
    Shuhei Watanabe.

    arXiv:2304.11127 (2023).

    (arXiv), (code).
  4. Shuhei Watanabe, Frank Hutter.

    International Joint Conference on Artificial Intelligence 2023 (IJCAI2023).

    The acceptance rate was about 14% (= 644/4566).

    (arXiv), (code), (slides), (poster), (video/transcript).
  5. Shuhei Watanabe, Noor Awad, Masaki Onishi, Frank Hutter.

    International Joint Conference on Artificial Intelligence 2023 (IJCAI2023).

    The acceptance rate was about 14% (= 644/4566).

    (arXiv), (code), (slides), (poster), (video/transcript).
  6. Shuhei Watanabe, Archit Bansal, Frank Hutter.

    International Joint Conference on Artificial Intelligence 2023 (IJCAI2023).

    The acceptance rate was about 14% (= 644/4566).

    (arXiv), (code), (slides), (poster), (video/transcript).

  1. Shuhei Watanabe, Frank Hutter.

    International Joint Conference on Artificial Intelligence 2023 (IJCAI2023).

    The acceptance rate was about 14% (= 644/4566).

    (arXiv), (code), (slides), (poster), (video/transcript).
  2. Shuhei Watanabe, Noor Awad, Masaki Onishi, Frank Hutter.

    International Joint Conference on Artificial Intelligence 2023 (IJCAI2023).

    The acceptance rate was about 14% (= 644/4566).

    (arXiv), (code), (slides), (poster), (video/transcript).
  3. Shuhei Watanabe, Archit Bansal, Frank Hutter.

    International Joint Conference on Artificial Intelligence 2023 (IJCAI2023).

    The acceptance rate was about 14% (= 644/4566).

    (arXiv), (code), (slides), (poster), (video/transcript).
  4. ♣ Masahiro Nomura, ♣ Shuhei Watanabe, Youhei Akimoto, Yoshihiko Ozaki, Masaki Onishi.

    AAAI Conference on Artificial Intelligence (AAAI2021).

    The acceptance rate was 19% (= 1692/9034).

    (arXiv), (pdf), (code).
  5. Shintaro Takenage, Shuhei Watanabe, Masahiro Nomura, Yoshihiko Ozaki, Masaki Onishi, Hitoshi Habe.

    International Conference on Pattern Recognition (ICPR2020). Oral Presentation.

  6. Yoshihiko Ozaki, Yuki Tanigaki, Shuhei Watanabe, Masaki Onishi.

    The Genetic and Evolutionary Computation Conference (GECCO2020). Oral Presentation.

    The acceptance rate was 36% (= 149/415).

    (pdf), (code).
  7. Shuhei Watanabe, Yoshihiko Ozaki, Yoshiaki Bando, Masaki Onishi.

    Asian Conference on Pattern Recognition (ACPR2019). Oral Presentation.

    The acceptance rate was 46% (= 128/273).

    The acceptance rate for the oral presentation was 13% (= 36/273).

    (poster), (slides).

  1. Shuhei Watanabe.

    AutoML Conference 2023 Workshop Track.

    (arXiv), (code), (slides), (video/transcript), (short video/transcript).
  2. Shuhei Watanabe, Frank Hutter.

    Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems at NeurIPS 2022 (GPSMDM2022).

    (IJCAI2023 version: arXiv), (Outdated: pdf), (code), (poster).
  3. Shuhei Watanabe, Noor Awad, Masaki Onishi, Frank Hutter.

    Workshop on Meta-Learning at NeurIPS 2022 (MetaLearn2022).

    (IJCAI2023 version: arXiv), (Outdated: pdf), (code), (poster).
  4. ♣ Masahiro Nomura, ♣ Shuhei Watanabe, Yoshihiko Ozaki, Masaki Onishi.

    Workshop on Meta-Learning at NeurIPS 2019 (MetaLearn2019).

    The acceptance rate was 69% (= 58/84).

    (AAAI2021 version: arXiv), (Outdated: pdf).
  5. Yoshihiko Ozaki, Shuhei Watanabe, Masaki Onishi.

    Workshop on Automated Machine Learning (AutoML2019) at ICML 2019.

    The acceptance rate was 58% (= 29/50).

    (pdf), (code).

  1. Yoshihiko Ozaki, Yuki Tanigaki, Shuhei Watanabe, Masahiro Nomura, Masaki Onishi.

    Journal of Artificial Intelligence Research (JAIR2022).

    (pdf), (code).

  1. Python Tool for Visualizing Variability of Pareto Fronts over Multiple Runs.
    Shuhei Watanabe.

    arXiv:2305.08852 (2023).

    (arXiv), (code).
  2. Tree-Structured Parzen Estimator: Understanding Its Algorithm Components and Their Roles for Better Empirical Performance.
    Shuhei Watanabe.

    arXiv:2304.11127 (2023).

    (arXiv), (code).
  3. Shuhei Watanabe, Masahiro Nomura, Masaki Onishi.

    Japanese Society for Artificial Intelligence (JSAI2020).

  4. Shuhei Watanabe, Yoshihiko Ozaki, Masaki Onishi.

    Pattern Recognition and Media Understanding (PRMU2019).

    PRMU 2018 Yearly Research Encouragement Award.

    The acceptance rate for this award was 1.8% (= 3/170).

  1. Master thesis at the University of Freiburg (2023).
    (pdf), (code), (slides), (poster).
  2. A Study on the Spontaneously Emerged Cooperation in a Collective Game with AI Type Agents.
    Bachelor thesis at the University of Tokyo (2018).