Kento Nishi

11 papers A* 6Journal 5
YearRankTypeTitle / Venue / Authors
2025 A* conf
ICLR: In-Context Learning of Representations.
ICLR
Core Francisco Park, Andrew Lee, Ekdeep Singh Lubana, Yongyi Yang, Maya Okawa, Kento Nishi, Martin Wattenberg, Hidenori Tanaka
2025 J jnl
ICLR: In-Context Learning of Representations.
CoRR
Core Francisco Park, Andrew Lee, Ekdeep Singh Lubana, Yongyi Yang, Maya Okawa, Kento Nishi, Martin Wattenberg, Hidenori Tanaka
2025 A* conf
Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing.
ICML
Kento Nishi, Rahul Ramesh, Maya Okawa, Mikail Khona, Hidenori Tanaka, Ekdeep Singh Lubana
2024 A* conf
Joint-Task Regularization for Partially Labeled Multi-Task Learning.
CVPR
Kento Nishi, Junsik Kim, Wanhua Li, Hanspeter Pfister
2024 J jnl
Joint-Task Regularization for Partially Labeled Multi-Task Learning.
CoRR
Kento Nishi, Junsik Kim, Wanhua Li, Hanspeter Pfister
2024 J jnl
Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing.
CoRR
Kento Nishi, Maya Okawa, Rahul Ramesh, Mikail Khona, Ekdeep Singh Lubana, Hidenori Tanaka
2024 A* conf
Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model.
ICML
Mikail Khona, Maya Okawa, Jan Hula, Rahul Ramesh, Kento Nishi, Robert P. Dick, Ekdeep Singh Lubana, Hidenori Tanaka
2024 J jnl
Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model.
CoRR
Mikail Khona, Maya Okawa, Jan Hula, Rahul Ramesh, Kento Nishi, Robert P. Dick, Ekdeep Singh Lubana, Hidenori Tanaka
2021 A* conf
Augmentation Strategies for Learning With Noisy Labels.
CVPR
Kento Nishi, Yi Ding, Alex Rich, Tobias Höllerer
2021 J jnl
Augmentation Strategies for Learning with Noisy Labels.
CoRR
Kento Nishi, Yi Ding, Alex Rich, Tobias Höllerer
2021 A* conf
Improving Label Noise Robustness with Data Augmentation and Semi-Supervised Learning (Student Abstract).
AAAI
Kento Nishi, Yi Ding, Alex Rich, Tobias Höllerer