Publications

Takumi Aoki, Shunsuke Kitada, Hitoshi Iyatomi (2020). Text Classification through Glyph-aware Disentangled Character Embedding and Semantic Sub-character Augmentation. AACL-IJCNLP2020 SRW.

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Shunsuke Kitada, Hitoshi Iyatomi (2020). Attention Meets Perturbations: Robust and Interpretable Attention with Adversarial Training.

Mahmoud Daif, Shunsuke Kitada, Hitoshi Iyatomi (2020). AraDIC: Arabic Document Classification using Image-Based Character Embeddings and Class-Balanced Loss. ACL2020 SRW.

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北田俊輔, 彌冨仁, 関喜史 (2020). 生存時間分析を用いた広告クリエイティブの停止予測. JSAI 2020.

北田俊輔, 彌冨仁 (2020). 解釈可能な敵対的摂動を用いた頑健な注意機構の学習. NLP 2020.

青木匠, 北田俊輔, 彌冨仁 (2020). 文字単位の解釈可能な潜在表現のdata augmentation. NLP 2020.

長澤駿太, 北田俊輔, 彌冨仁 (2020). Script-aware embedding を用いた文字表現の獲得. NLP 2020.

Mahmoud Daif, Shunsuke Kitada, Hitoshi Iyatomi (2020). Image-based Character Embedding for Arabic Document Classification. NLP 2020.

北田俊輔, 彌冨仁 (2019). 解釈性向上のための注意機構と損失勾配に対する関連損失の導入. YANS 2019.

長澤駿太, 北田俊輔, 彌冨仁 (2019). 日本語の文字体系を考慮した文書分類モデルの提案. YANS 2019.

Mahmoud Daif, Shunsuke Kitada, Hitoshi Iyatomi (2019). Image Based Character Embeddings for Arabic Document Classification. YANS 2019.

Shunsuke Kitada, Hitoshi Iyatomi, Yoshifumi Seki (2019). Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creative. KDD2019.

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北田俊輔, 彌冨仁 (2019). 頑健な皮膚腫瘍診断支援のための body hair augmentation. IPSJ 2019.

北田俊輔, 彌冨仁 (2019). 広告クリエイティブ自動生成にむけたマルチタスク学習と Conditional Attention による CVR 予測. NLP 2019.

Shunsuke Kitada, Ryunosuke Kotani, Hitoshi Iyatomi (2018). End-to-End Text Classification via Image-based Embedding using Character-level Networks. AIPR 2018.

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Shunsuke Kitada, Hitoshi Iyatomi (2018). Skin lesion classification with ensemble of squeeze-and-excitation networks and semi-supervised learning. ISIC2018.

北田俊輔, 関喜史, 彌冨仁 (2018). 広告クリエイティブ自動生成に向けた単語レベルでの評価手法の検討. YANS 2018.

北田俊輔, 彌冨仁 (2018). CE-CLCNN: Character Encoder を用いた Character-level Convolutional Neural Networks によるテキスト分類. NLP 2018.

北田俊輔, 彌冨仁 (2017). Character-level Convolutional Neural Networks における Wildcard Training の基礎検討. YANS 2017.