| Controlling output length in neural encoder-decoders Y Kikuchi, G Neubig, R Sasano, H Takamura, M Okumura arXiv preprint arXiv:1609.09552, 2016 | 268 | 2016 |
| Interactively picking real-world objects with unconstrained spoken language instructions J Hatori, Y Kikuchi, S Kobayashi, K Takahashi, Y Tsuboi, Y Unno, W Ko, ... 2018 IEEE International Conference on Robotics and Automation (ICRA), 3774-3781, 2018 | 208 | 2018 |
| Single document summarization based on nested tree structure Y Kikuchi, T Hirao, H Takamura, M Okumura, M Nagata Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 84 | 2014 |
| A Scaling Law for Syn2real Transfer: How Much Is Your Pre-training Effective? H Mikami, K Fukumizu, S Murai, S Suzuki, Y Kikuchi, T Suzuki, S Maeda, ... Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 22 | 2022 |
| A POS tagging model adapted to learner English R Nagata, T Mizumoto, Y Kikuchi, Y Kawasaki, K Funakoshi Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User …, 2018 | 13 | 2018 |
| Japanese sentence compression with a large training dataset S Hasegawa, Y Kikuchi, H Takamura, M Okumura Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 10 | 2017 |
| Addressing class imbalance in scene graph parsing by learning to contrast and score H Huang, S Saito, Y Kikuchi, E Matsumoto, W Tang, PS Yu Proceedings of the Asian Conference on Computer Vision, 2020 | 6 | 2020 |
| Neural Sequence Model Training via -divergence Minimization S Koyamada, Y Kikuchi, A Kanemura, S Maeda, S Ishii arXiv preprint arXiv:1706.10031, 2017 | 1 | 2017 |
| User-Guided Correction of Reconstruction Errors in Structure-from-Motion S Kanazawa, J Zhou, Y Kikuchi, S Kobayashi, C Li, F Matulic, T Igarashi, ... Proceedings of the 30th International Conference on Intelligent User …, 2025 | | 2025 |
| Learning from Observation-Only Demonstration for Task-Oriented Language Grounding via Self-Examination. TJ Fu, Y Tsuboi, S Kobayashi, Y Kikuchi ViGIL@ NeurIPS, 2019 | | 2019 |
| Alpha-divergence bridges maximum likelihood and reinforcement learning in neural sequence generation S Koyamada, Y Kikuchi, A Kanemura, S Maeda, S Ishii | | 2018 |
| Learning from numerous untailored summaries Y Kikuchi, A Watanabe, S Ryohei, H Takamura, M Okumura Pacific Rim International Conference on Artificial Intelligence, 206-219, 2016 | | 2016 |
| Identifying a Demand towards a Company in CGM Y Kikuchi, H Takamura, M Okumura, S Nakazawa Identifying a Demand towards a Company in CGM, 2014 | | 2014 |
| Identifying a Demand Towards a Company in Consumer-Generated Media Y Kikuchi, H Takamura, M Okumura, S Nakazawa Computational Linguistics and Intelligent Text Processing: 15th …, 2014 | | 2014 |
| 視野闘争時の知覚交替に伴う瞳孔反応の検討―注意指標の抽出を目指して― 菊池悠太， 米村恵一， 北崎充晃 電子情報通信学会論文誌 A 95 (6), 535-538, 2012 | | 2012 |
