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ORCIDShunsuke Kitada
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2020 – today
- 2024
[c6]Shoma Iwai
, Atsuki Osanai, Shunsuke Kitada, Shinichiro Omachi:
Layout-Corrector: Alleviating Layout Sticking Phenomenon in Discrete Diffusion Model. ECCV (34) 2024: 92-110- [i14]Sota Nemoto, Shunsuke Kitada, Hitoshi Iyatomi:
Majority or Minority: Data Imbalance Learning Method for Named Entity Recognition. CoRR abs/2401.11431 (2024) - [i13]Shoma Iwai, Atsuki Osanai, Shunsuke Kitada, Shinichiro Omachi:
Layout-Corrector: Alleviating Layout Sticking Phenomenon in Discrete Diffusion Model. CoRR abs/2409.16689 (2024) - 2023
- [j3]Shunsuke Kitada, Hitoshi Iyatomi:
Making attention mechanisms more robust and interpretable with virtual adversarial training. Appl. Intell. 53(12): 15802-15817 (2023) - [i12]Shunsuke Kitada:
Improving Prediction Performance and Model Interpretability through Attention Mechanisms from Basic and Applied Research Perspectives. CoRR abs/2303.14116 (2023) - 2022
- [j2]Shunsuke Kitada, Yuki Iwazaki, Riku Togashi, Hitoshi Iyatomi:
DM2S2: Deep Multimodal Sequence Sets With Hierarchical Modality Attention. IEEE Access 10: 120023-120034 (2022) - [c5]Tsubasa Nakagawa, Shunsuke Kitada, Hitoshi Iyatomi:
Expressions Causing Differences in Emotion Recognition in Social Networking Service Documents. CIKM 2022: 4349-4353 - [i11]Shunsuke Kitada, Hitoshi Iyatomi, Yoshifumi Seki:
Ad Creative Discontinuation Prediction with Multi-Modal Multi-Task Neural Survival Networks. CoRR abs/2204.11588 (2022) - [i10]Tsubasa Nakagawa, Shunsuke Kitada, Hitoshi Iyatomi:
Expressions Causing Differences in Emotion Recognition in Social Networking Service Documents. CoRR abs/2208.14244 (2022) - [i9]Shunsuke Kitada, Yuki Iwazaki, Riku Togashi, Hitoshi Iyatomi:
DM2S2: Deep Multi-Modal Sequence Sets with Hierarchical Modality Attention. CoRR abs/2209.03126 (2022) - [i8]Kazuya Ohata, Shunsuke Kitada, Hitoshi Iyatomi:
Feedback is Needed for Retakes: An Explainable Poor Image Notification Framework for the Visually Impaired. CoRR abs/2211.09427 (2022) - 2021
- [j1]Shunsuke Kitada, Hitoshi Iyatomi:
Attention Meets Perturbations: Robust and Interpretable Attention With Adversarial Training. IEEE Access 9: 92974-92985 (2021) - [i7]Shunsuke Kitada, Hitoshi Iyatomi:
Making Attention Mechanisms More Robust and Interpretable with Virtual Adversarial Training for Semi-Supervised Text Classification. CoRR abs/2104.08763 (2021) - 2020
- [c4]Mahmoud Daif, Shunsuke Kitada, Hitoshi Iyatomi:
AraDIC: Arabic Document Classification Using Image-Based Character Embeddings and Class-Balanced Loss. ACL (student) 2020: 214-221 - [c3]Takumi Aoki, Shunsuke Kitada, Hitoshi Iyatomi:
Text Classification through Glyph-aware Disentangled Character Embedding and Semantic Sub-character Augmentation. AACL/IJCNLP (Student Research Workshop) 2020: 1-7 - [i6]Mahmoud Daif, Shunsuke Kitada, Hitoshi Iyatomi:
AraDIC: Arabic Document Classification using Image-Based Character Embeddings and Class-Balanced Loss. CoRR abs/2006.11586 (2020) - [i5]Shunsuke Kitada, Hitoshi Iyatomi:
Attention Meets Perturbations: Robust and Interpretable Attention with Adversarial Training. CoRR abs/2009.12064 (2020) - [i4]Takumi Aoki, Shunsuke Kitada, Hitoshi Iyatomi:
Text Classification through Glyph-aware Disentangled Character Embedding and Semantic Sub-character Augmentation. CoRR abs/2011.04184 (2020)
2010 – 2019
- 2019
- [c2]Shunsuke Kitada, Hitoshi Iyatomi, Yoshifumi Seki:
Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives. KDD 2019: 2069-2077 - [i3]Shunsuke Kitada, Hitoshi Iyatomi, Yoshifumi Seki:
Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creative. CoRR abs/1905.07289 (2019) - 2018
- [c1]Shunsuke Kitada, Ryunosuke Kotani, Hitoshi Iyatomi:
End-to-End Text Classification via Image-based Embedding using Character-level Networks. AIPR 2018: 1-4 - [i2]Shunsuke Kitada, Hitoshi Iyatomi:
Skin lesion classification with ensemble of squeeze-and-excitation networks and semi-supervised learning. CoRR abs/1809.02568 (2018) - [i1]Shunsuke Kitada, Ryunosuke Kotani, Hitoshi Iyatomi:
End-to-End Text Classification via Image-based Embedding using Character-level Networks. CoRR abs/1810.03595 (2018)
Coauthor Index
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