Yuya Yoshikawa

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 24

Top Topics

Fast Fourier Transform

Gaussian Process

Action Recognition

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Yuya Yoshikawa, Masanari Kimura, Ryotaro Shimizu, Yuki Saito
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property. CoRR (2024)
Yuya Yoshikawa, Tomoharu Iwata
Explanation-based Training with Differentiable Insertion/Deletion Metric-aware Regularizers. AISTATS (2024)
Yuya Yoshikawa, Tomoharu Iwata
Explanation-Based Training with Differentiable Insertion/Deletion Metric-Aware Regularizers. CoRR (2023)
Yuya Yoshikawa, Yutaro Shigeto, Masashi Shimbo, Akikazu Takeuchi
Action class relation detection and classification across multiple video datasets. Pattern Recognit. Lett. 173 (2023)
Yuya Yoshikawa, Yutaro Shigeto, Masashi Shimbo, Akikazu Takeuchi
Action Class Relation Detection and Classification Across Multiple Video Datasets. CoRR (2023)
Yuya Yoshikawa, Tomoharu Iwata
Gaussian Process Regression With Interpretable Sample-Wise Feature Weights. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Yasunori Yamamoto, Shusaku Egami, Yuya Yoshikawa, Ken Fukuda
Towards Semantic Data Management of Visual Computing Datasets: Increasing Usability of MetaVD. ISWC (Posters/Demos/Industry) (2023)
Yutaro Shigeto, Masashi Shimbo, Yuya Yoshikawa, Akikazu Takeuchi
Learning Decorrelated Representations Efficiently Using Fast Fourier Transform. CoRR (2023)
Yutaro Shigeto, Masashi Shimbo, Yuya Yoshikawa, Akikazu Takeuchi
Learning Decorrelated Representations Efficiently Using Fast Fourier Transform. CVPR (2023)
Yuya Yoshikawa, Tomoharu Iwata
Neural generators of sparse local linear models for achieving both accuracy and interpretability. Inf. Fusion 81 (2022)
Tomoharu Iwata, Yuya Yoshikawa
Training Deep Models to be Explained with Fewer Examples. CoRR (2021)
Yuya Yoshikawa, Yutaro Shigeto, Akikazu Takeuchi
MetaVD: A Meta Video Dataset for enhancing human action recognition datasets. Comput. Vis. Image Underst. 212 (2021)
Yutaro Shigeto, Yuya Yoshikawa, Jiaqing Lin, Akikazu Takeuchi
Video Caption Dataset for Describing Human Actions in Japanese. LREC (2020)
Yuya Yoshikawa, Tomoharu Iwata
Gaussian Process Regression with Local Explanation. CoRR (2020)
Yutaro Shigeto, Yuya Yoshikawa, Jiaqing Lin, Akikazu Takeuchi
Video Caption Dataset for Describing Human Actions in Japanese. CoRR (2020)
Yuya Yoshikawa, Tomoharu Iwata
Neural Generators of Sparse Local Linear Models for Achieving both Accuracy and Interpretability. CoRR (2020)
Yuya Yoshikawa, Yusaku Imai
A Nonparametric Delayed Feedback Model for Conversion Rate Prediction. CoRR (2018)
Yuya Yoshikawa, Jiaqing Lin, Akikazu Takeuchi
STAIR Actions: A Video Dataset of Everyday Home Actions. CoRR (2018)
Yuya Yoshikawa
Learning from Noisy Label Distributions. CoRR (2017)
Yuya Yoshikawa, Yutaro Shigeto, Akikazu Takeuchi
STAIR Captions: Constructing a Large-Scale Japanese Image Caption Dataset. CoRR (2017)
Yuya Yoshikawa
Learning from Noisy Label Distributions. ICANN (2) (2017)
Yuya Yoshikawa, Yutaro Shigeto, Akikazu Takeuchi
STAIR Captions: Constructing a Large-Scale Japanese Image Caption Dataset. ACL (2) (2017)
Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada, Takeshi Yamada
Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions. NIPS (2015)
Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada
Non-Linear Regression for Bag-of-Words Data via Gaussian Process Latent Variable Set Model. AAAI (2015)
Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada
Latent Support Measure Machines for Bag-of-Words Data Classification. NIPS (2014)
Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada
Collaboration on Social Media: Analyzing Successful Projects on Social Coding. CoRR (2014)
Yuya Yoshikawa, Kazumi Saito, Hiroshi Motoda, Kouzou Ohara, Masahiro Kimura
Acquiring Expected Influence Curve from Single Diffusion Sequence. PKAW (2010)