| Augmentation strategies for learning with noisy labels K Nishi, Y Ding, A Rich, T Hollerer Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 143 | 2021 |
| Improving label noise robustness with data augmentation and semi-supervised learning (student abstract) K Nishi, Y Ding, A Rich, T Höllerer Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 15855 …, 2021 | 5 | 2021 |
| Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model M Khona, M Okawa, J Hula, R Ramesh, K Nishi, R Dick, ES Lubana, ... arXiv preprint arXiv:2402.07757, 2024 | 2 | 2024 |
| ICLR: In-Context Learning of Representations CF Park, A Lee, ES Lubana, Y Yang, M Okawa, K Nishi, M Wattenberg, ... arXiv preprint arXiv:2501.00070, 2024 | 1 | 2024 |
| Joint-Task Regularization for Partially Labeled Multi-Task Learning K Nishi, J Kim, W Li, H Pfister Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing K Nishi, M Okawa, R Ramesh, M Khona, H Tanaka, ES Lubana arXiv preprint arXiv:2410.17194, 2024 | | 2024 |
| In-Context Learning of Representations CF Park, A Lee, ES Lubana, Y Yang, M Okawa, K Nishi, M Wattenberg, ... The Thirteenth International Conference on Learning Representations, 0 | | |
| Toward a Mechanistic Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model M Khona, M Okawa, R Ramesh, K Nishi, RP Dick, ES Lubana, H Tanaka | | |
| Stepwise Inference in Transformers: Exploring a Synthetic Graph Navigation Task M Khona, M Okawa, R Ramesh, K Nishi, RP Dick, ES Lubana, H Tanaka R0-FoMo: Robustness of Few-shot and Zero-shot Learning in Large Foundation …, 0 | | |