Nishi, Kento

8 publications

ICLR 2025 ICLR: In-Context Learning of Representations Core Francisco Park, Andrew Lee, Ekdeep Singh Lubana, Yongyi Yang, Maya Okawa, Kento Nishi, Martin Wattenberg, Hidenori Tanaka

ICML 2025 Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing Kento Nishi, Rahul Ramesh, Maya Okawa, Mikail Khona, Hidenori Tanaka, Ekdeep Singh Lubana

CVPR 2024 Joint-Task Regularization for Partially Labeled Multi-Task Learning Kento Nishi, Junsik Kim, Wanhua Li, Hanspeter Pfister

NeurIPSW 2024 Structured In-Context Task Representations Core Francisco Park, Andrew Lee, Ekdeep Singh Lubana, Kento Nishi, Maya Okawa, Hidenori Tanaka

ICML 2024 Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model Mikail Khona, Maya Okawa, Jan Hula, Rahul Ramesh, Kento Nishi, Robert P. Dick, Ekdeep Singh Lubana, Hidenori Tanaka

NeurIPSW 2023 Stepwise Inference in Transformers: Exploring a Synthetic Graph Navigation Task Mikail Khona, Maya Okawa, Rahul Ramesh, Kento Nishi, Robert P. Dick, Ekdeep Singh Lubana, Hidenori Tanaka

CVPR 2021 Augmentation Strategies for Learning with Noisy Labels Kento Nishi, Yi Ding, Alex Rich, Tobias Hollerer

AAAI 2021 Improving Label Noise Robustness with Data Augmentation and Semi-Supervised Learning (Student Abstract) Kento Nishi, Yi Ding, Alex Rich, Tobias Höllerer