Shunsuke Kitada
Orcid: 0000-0002-3330-8779
According to our database1,
Shunsuke Kitada
authored at least 16 papers
between 2018 and 2024.
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Bibliography
2024
CoRR, 2024
2023
Making attention mechanisms more robust and interpretable with virtual adversarial training.
Appl. Intell., June, 2023
Improving Prediction Performance and Model Interpretability through Attention Mechanisms from Basic and Applied Research Perspectives.
CoRR, 2023
2022
Feedback is Needed for Retakes: An Explainable Poor Image Notification Framework for the Visually Impaired.
CoRR, 2022
DM<sup>2</sup>S<sup>2</sup>: Deep Multi-Modal Sequence Sets with Hierarchical Modality Attention.
CoRR, 2022
Ad Creative Discontinuation Prediction with Multi-Modal Multi-Task Neural Survival Networks.
CoRR, 2022
DM<sup>2</sup>S<sup>2</sup>: Deep Multimodal Sequence Sets With Hierarchical Modality Attention.
IEEE Access, 2022
Expressions Causing Differences in Emotion Recognition in Social Networking Service Documents.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
Making Attention Mechanisms More Robust and Interpretable with Virtual Adversarial Training for Semi-Supervised Text Classification.
CoRR, 2021
Attention Meets Perturbations: Robust and Interpretable Attention With Adversarial Training.
IEEE Access, 2021
2020
Text Classification through Glyph-aware Disentangled Character Embedding and Semantic Sub-character Augmentation.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: Student Research Workshop, 2020
AraDIC: Arabic Document Classification Using Image-Based Character Embeddings and Class-Balanced Loss.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2020
2019
Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creative.
CoRR, 2019
Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
2018
Skin lesion classification with ensemble of squeeze-and-excitation networks and semi-supervised learning.
CoRR, 2018
End-to-End Text Classification via Image-based Embedding using Character-level Networks.
Proceedings of the 47th IEEE Applied Imagery Pattern Recognition Workshop, 2018