| Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations S Kobayashi Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 810 | 2018 |
| Decomposing NeRF for Editing via Feature Field Distillation S Kobayashi, E Matsumoto, V Sitzmann Proceeding of the 36th Annual Conference on Neural Information Processing …, 2022 | 348 | 2022 |
| Interactively Picking Real-World Objects with Unconstrained Spoken Language Instructions J Hatori, Y Kikuchi, S Kobayashi, K Takahashi, Y Tsuboi, Y Unno, W Ko, ... Proceedings of International Conference on Robotics and Automation 2018, 2017 | 204 | 2017 |
| Train Sparsely, Generate Densely: Memory-Efficient Unsupervised Training of High-Resolution Temporal GAN M Saito, S Saito, M Koyama, S Kobayashi International Journal of Computer Vision (IJCV), 2020 | 148 | 2020 |
| DQN-TAMER: Human-in-the-Loop Reinforcement Learning with Intractable Feedback R Arakawa, S Kobayashi, Y Unno, Y Tsuboi, S Maeda Proceedings of the 2nd Workshop on Human-Robot Teaming Beyond Human …, 2018 | 95 | 2018 |
| Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition H Ouchi, J Suzuki, S Kobayashi, S Yokoi, T Kuribayashi, R Konno, K Inui Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 57 | 2020 |
| Tohoku at SemEval-2016 task 6: Feature-based model versus convolutional neural network for stance detection Y Igarashi, H Komatsu, S Kobayashi, N Okazaki, K Inui Proceedings of the 10th international workshop on semantic evaluation …, 2016 | 51 | 2016 |
| Dynamic entity representation with max-pooling improves machine reading S Kobayashi, R Tian, N Okazaki, K Inui Proceedings of the 2016 Conference of the North American Chapter of the …, 2016 | 50 | 2016 |
| Shape: Shifted absolute position embedding for transformers S Kiyono, S Kobayashi, J Suzuki, K Inui Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 45 | 2021 |
| Generating stylistically consistent dialog responses with transfer learning R Akama, K Inada, N Inoue, S Kobayashi, K Inui Proceedings of the Eighth International Joint Conference on Natural Language …, 2017 | 32 | 2017 |
| An RNN-based binary classifier for the story cloze test M Roemmele, S Kobayashi, N Inoue, A Gordon Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and …, 2017 | 32 | 2017 |
| Homemade bookcorpus S Kobayashi | 31 | 2018 |
| All Word Embeddings from One Embedding S Takase, S Kobayashi Proceeding of the 34th Annual Conference on Neural Information Processing …, 2020 | 25 | 2020 |
| On layer normalizations and residual connections in transformers S Takase, S Kiyono, S Kobayashi, J Suzuki arXiv preprint arXiv:2206.00330, 2022 | 19 | 2022 |
| Efficient estimation of influence of a training instance S Kobayashi, S Yokoi, J Suzuki, K Inui In Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural …, 2020 | 18 | 2020 |
| VocabEncounter: NMT-powered vocabulary learning by presenting computer-generated usages of foreign words into users’ daily lives R Arakawa, H Yakura, S Kobayashi Proceedings of the 2022 CHI conference on human factors in computing systems …, 2022 | 15 | 2022 |
| Spike no more: Stabilizing the pre-training of large language models S Takase, S Kiyono, S Kobayashi, J Suzuki arXiv preprint arXiv:2312.16903, 2023 | 13 | 2023 |
| B2t connection: Serving stability and performance in deep transformers S Takase, S Kiyono, S Kobayashi, J Suzuki arXiv preprint arXiv:2206.00330, 2022 | 13 | 2022 |
| A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse S Kobayashi, N Okazaki, K Inui Proceedings of the Eighth International Joint Conference on Natural Language …, 2017 | 13 | 2017 |
| Unsupervised Learning of Style-sensitive Word Vectors R Akama, K Watanabe, S Yokoi, S Kobayashi, K Inui Proceedings of the 2018 Conference of the Association for Computational …, 2018 | 12 | 2018 |
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