Sosuke Kobayashi
Sosuke Kobayashi
Preferred Networks, Inc.
Verified email at preferred.jp - Homepage
Title
Cited by
Cited by
Year
Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations
S Kobayashi
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
2562018
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
742017
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
452016
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
292018
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
282017
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
242016
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
172017
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
142017
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
132020
Data Interpolating Prediction: Alternative Interpretation of Mixup
T Shimada, S Yamaguchi, K Hayashi, S Kobayashi
Proceedings of the 2nd Workshop on Learning with Limited Labeled Data: Weak …, 2019
82019
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
72020
All Word Embeddings from One Embedding
S Takase, S Kobayashi
Proceeding of the 34th Annual Conference on Neural Information Processing …, 2020
52020
Contextual augmentation: Data augmentation by words with paradigmatic relations. arXiv 2018
S Kobayashi
arXiv preprint arXiv:1805.06201, 0
5
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
42020
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
42018
Explaining potential risks in traffic scenes by combining logical inference and physical simulation
R Takahashi, N Inoue, Y Kuriya, S Kobayashi, K Inui
International Journal of Machine Learning and Computing 6 (5), 248, 2016
42016
Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions
S Yokoi, S Kobayashi, K Fukumizu, J Suzuki, K Inui
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
22018
Recognizing potential traffic risks through logic-based deep scene understanding
N Inoue, Y Kuriya, S Kobayashi, K Inui
Proc. 22nd ITS World Congress, 2015
22015
Object detection device, object detection method and non-transitory computer readable medium
S Kobayashi
US Patent 11,087,159, 2021
12021
Data augmentation apparatus, data augmentation method, and non-transitory computer readable medium
Y Tsuboi, Y Unno, J Hatori, S Kobayashi, Y Kikuchi
US Patent App. 16/197,890, 2019
12019
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Articles 1–20