mai₂ lab.
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Achievements

★ Top venue* Corresponding author† Equal contribution

  • ★ Learning Large-Scale Modular Addition with an Auxiliary Modulus

    Hanato Kikuchi, Ryosuke Masuya, Kazuhiko Kawamoto, Hiroshi Kera

    Conference on Neural Information Processing Systems (NeurIPS), 2026 · Accepted

    arXiv

  • SHAPIN-CLIP: Game-Theoretic Explanation of CLIP Image-Text Matching

    Nanato Izumi, Toshinori Yamauchi, Hiroshi Kera, Kazuhiko Kawamoto

    Proceedings of International Symposium on Nonlinear Theory and Its Applications, 2026

    Paper

  • Adversarial fine-tuning in offline-to-online reinforcement learning for robust robot control

    Shingo Ayabe, Hiroshi Kera, Kazuhiko Kawamoto

    Applied Intelligence, 2026 · pp. 420

    DOIPaperarXiv

  • Zero-Shot Textual Explanations via Translating Decision-Critical Features

    Toshinori Yamauchi, Hiroshi Kera, Kazuhiko Kawamoto

    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Findings, 2026 · pp. 3282–3292

    PaperarXiv

  • ★ Explaining Object Detectors via Collective Contribution of Pixels

    Toshinori Yamauchi, Hiroshi Kera, Kazuhiko Kawamoto

    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026 · pp. 17046–17056

    PaperarXiv

  • ★ Adversarially Pretrained Transformers May Be Universally Robust In-Context Learners

    Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki

    International Conference on Learning Representations (ICLR), 2026 · pp. 124615–124659

    PaperarXiv

  • ★ Matching Semantically Similar Non-Identical Objects

    Yusuke Marumo, Kazuhiko Kawamoto, Satomi Tanaka, Shigenobu Hirano, Hiroshi Kera*

    IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2026 · pp. 2752–2764

    PaperarXiv