Attention Meets Perturbations: Robust and Interpretable Attention with Adversarial Training S Kitada, H Iyatomi
IEEE Access 9, 92974 - 92985, 2021
30 2021 Skin lesion classification with ensemble of squeeze-and-excitation networks and semi-supervised learning S Kitada, H Iyatomi
arXiv preprint arXiv:1809.02568, 2018
25 2018 Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creative S Kitada, H Iyatomi, Y Seki
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
13 2019 Making attention mechanisms more robust and interpretable with virtual adversarial training S Kitada, H Iyatomi
Applied Intelligence 53 (12), 15802-15817, 2023
11 2023 End-to-end text classification via image-based embedding using character-level networks S Kitada, R Kotani, H Iyatomi
IEEE Applied Imagery Pattern Recognition (AIPR) Workshop, 1-4, 2018
7 2018 Text Classification through Glyph-aware Disentangled Character Embedding and Semantic Sub-character Augmentation T Aoki, S Kitada, H Iyatomi
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the …, 2020
4 2020 AraDIC: Arabic Document Classification using Image-Based Character Embeddings and Class-Balanced Loss M Daif, S Kitada, H Iyatomi
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
3 2020 Expressions Causing Differences in Emotion Recognition in Social Networking Service Documents T Nakagawa, S Kitada, H Iyatomi
Proceedings of the 31st ACM International Conference on Information …, 2022
2 2022 Improving Prediction Performance and Model Interpretability through Attention Mechanisms from Basic and Applied Research Perspectives S Kitada
arXiv preprint arXiv:2303.14116, 2023
1 2023 DM S Kitada, Y Iwazaki, R Togashi, H Iyatomi
IEEE Access 10, 120023 - 120034, 2022
1 2022 Ad Creative Discontinuation Prediction with Multi-Modal Multi-Task Neural Survival Networks S Kitada, H Iyatomi, Y Seki
Applied Sciences 12 (7), 3594, 2022
1 2022 VASCAR: Content-Aware Layout Generation via Visual-Aware Self-Correction J Zhang, R Yoshihashi, S Kitada, A Osanai, Y Nakashima
arXiv preprint arXiv:2412.04237, 2024
2024 Majority or Minority: Data Imbalance Learning Method for Named Entity Recognition S Nemoto, S Kitada, H Iyatomi
arXiv preprint arXiv:2401.11431, 2024
2024 Layout-Corrector: Alleviating Layout Sticking Phenomenon in Discrete Diffusion Model S Iwai, A Osanai, S Kitada, S Omachi
European Conference on Computer Vision, 92-110, 2024
2024 Feedback is Needed for Retakes: An Explainable Poor Image Notification Framework for the Visually Impaired K Ohata, S Kitada, H Iyatomi
IEEE 19th International Conference on Smart Communities: Improving Quality …, 2022
2022 Extended datasets from MM-IMDB and Ads-Parallelity dataset with the features from Google Cloud Vision API S Kitada, Y Iwazaki, R Togashi, H Iyatomi
(No Title), 2022
2022 From WRIME to WRIME-TC: Enhancing Emotional Analysis of Writers and Readers with Temporal Context T Nakagawa, S Kitada, T Kajiwara, H Iyatomi
Hitoshi IyatomiProfessor, Hosei University, Japanhosei.ac.jp üzerinde doğrulanmış e-posta adresine sahip