Yuya Yoshikawa

31 papers A* 4A 1B 1C 1Journal 19Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation. WWW Ryotaro Shimizu, Takashi Wada, Yu Wang, Johannes Kruse, Sean O'Brien, Sai Htaung Kham, Linxin Song, Yuya Yoshikawa, Yuki Saito, Fugee Tsung, Masayuki Goto, Julian J. McAuley
2025	A*	`conf`	Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property. IJCAI Yuya Yoshikawa, Masanari Kimura, Ryotaro Shimizu, Yuki Saito
2025	J	`jnl`	Transferring Visual Explainability of Self-Explaining Models through Task Arithmetic. CoRR Yuya Yoshikawa, Ryotaro Shimizu, Takahiro Kawashima, Yuki Saito
2024	J	`jnl`	Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation. CoRR Ryotaro Shimizu, Takashi Wada, Yu Wang, Johannes Kruse, Sean O'Brien, Sai Htaung Kham, Linxin Song, Yuya Yoshikawa, Yuki Saito, Fugee Tsung, Masayuki Goto, Julian J. McAuley
2024	J	`jnl`	Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property. CoRR Yuya Yoshikawa, Masanari Kimura, Ryotaro Shimizu, Yuki Saito
2024	A	`conf`	Explanation-based Training with Differentiable Insertion/Deletion Metric-aware Regularizers. AISTATS Yuya Yoshikawa, Tomoharu Iwata
2023	J	`jnl`	Action Class Relation Detection and Classification Across Multiple Video Datasets. CoRR Yuya Yoshikawa, Yutaro Shigeto, Masashi Shimbo, Akikazu Takeuchi
2023	J	`jnl`	Action class relation detection and classification across multiple video datasets. Pattern Recognit. Lett. Yuya Yoshikawa, Yutaro Shigeto, Masashi Shimbo, Akikazu Takeuchi
2023	J	`jnl`	Explanation-Based Training with Differentiable Insertion/Deletion Metric-Aware Regularizers. CoRR Yuya Yoshikawa, Tomoharu Iwata
2023	J	`jnl`	Gaussian Process Regression With Interpretable Sample-Wise Feature Weights. IEEE Trans. Neural Networks Learn. Syst. Yuya Yoshikawa, Tomoharu Iwata
2023	A*	`conf`	Learning Decorrelated Representations Efficiently Using Fast Fourier Transform. CVPR Yutaro Shigeto, Masashi Shimbo, Yuya Yoshikawa, Akikazu Takeuchi
2023	J	`jnl`	Learning Decorrelated Representations Efficiently Using Fast Fourier Transform. CoRR Yutaro Shigeto, Masashi Shimbo, Yuya Yoshikawa, Akikazu Takeuchi
2023	—	`conf`	Towards Semantic Data Management of Visual Computing Datasets: Increasing Usability of MetaVD. ISWC (Posters/Demos/Industry) Yasunori Yamamoto, Shusaku Egami, Yuya Yoshikawa, Ken Fukuda
2022	J	`jnl`	Neural generators of sparse local linear models for achieving both accuracy and interpretability. Inf. Fusion Yuya Yoshikawa, Tomoharu Iwata
2021	J	`jnl`	MetaVD: A Meta Video Dataset for enhancing human action recognition datasets. Comput. Vis. Image Underst. Yuya Yoshikawa, Yutaro Shigeto, Akikazu Takeuchi
2021	J	`jnl`	Training Deep Models to be Explained with Fewer Examples. CoRR Tomoharu Iwata, Yuya Yoshikawa
2020	J	`jnl`	Gaussian Process Regression with Local Explanation. CoRR Yuya Yoshikawa, Tomoharu Iwata
2020	J	`jnl`	Neural Generators of Sparse Local Linear Models for Achieving both Accuracy and Interpretability. CoRR Yuya Yoshikawa, Tomoharu Iwata
2020	B	`conf`	Video Caption Dataset for Describing Human Actions in Japanese. LREC Yutaro Shigeto, Yuya Yoshikawa, Jiaqing Lin, Akikazu Takeuchi
2020	J	`jnl`	Video Caption Dataset for Describing Human Actions in Japanese. CoRR Yutaro Shigeto, Yuya Yoshikawa, Jiaqing Lin, Akikazu Takeuchi
2018	J	`jnl`	A Nonparametric Delayed Feedback Model for Conversion Rate Prediction. CoRR Yuya Yoshikawa, Yusaku Imai
2018	J	`jnl`	STAIR Actions: A Video Dataset of Everyday Home Actions. CoRR Yuya Yoshikawa, Jiaqing Lin, Akikazu Takeuchi
2017	—	`conf`	Learning from Noisy Label Distributions. ICANN (2) Yuya Yoshikawa
2017	J	`jnl`	Learning from Noisy Label Distributions. CoRR Yuya Yoshikawa
2017	—	`conf`	STAIR Captions: Constructing a Large-Scale Japanese Image Caption Dataset. ACL (2) Yuya Yoshikawa, Yutaro Shigeto, Akikazu Takeuchi
2017	J	`jnl`	STAIR Captions: Constructing a Large-Scale Japanese Image Caption Dataset. CoRR Yuya Yoshikawa, Yutaro Shigeto, Akikazu Takeuchi
2015	—	`conf`	Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions. NIPS Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada, Takeshi Yamada
2015	A*	`conf`	Non-Linear Regression for Bag-of-Words Data via Gaussian Process Latent Variable Set Model. AAAI Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada
2014	J	`jnl`	Collaboration on Social Media: Analyzing Successful Projects on Social Coding. CoRR Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada
2014	—	`conf`	Latent Support Measure Machines for Bag-of-Words Data Classification. NIPS Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada
2010	C	`conf`	Acquiring Expected Influence Curve from Single Diffusion Sequence. PKAW Yuya Yoshikawa, Kazumi Saito, Hiroshi Motoda, Kouzou Ohara, Masahiro Kimura