Yuya Yoshikawa

According to our database, Yuya Yoshikawa authored at least 19 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Gaussian Process Regression With Interpretable Sample-Wise Feature Weights.

Yuya Yoshikawa, Tomoharu Iwata

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Action class relation detection and classification across multiple video datasets.

Yuya Yoshikawa, Yutaro Shigeto, Masashi Shimbo, Akikazu Takeuchi

Pattern Recognit. Lett., September, 2023

Explanation-Based Training with Differentiable Insertion/Deletion Metric-Aware Regularizers.

Yuya Yoshikawa, Tomoharu Iwata

CoRR, 2023

Towards Semantic Data Management of Visual Computing Datasets: Increasing Usability of MetaVD.

Yasunori Yamamoto, Shusaku Egami, Yuya Yoshikawa, Ken Fukuda

Proceedings of the ISWC 2023 Posters, 2023

Learning Decorrelated Representations Efficiently Using Fast Fourier Transform.

Yutaro Shigeto, Masashi Shimbo, Yuya Yoshikawa, Akikazu Takeuchi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Neural generators of sparse local linear models for achieving both accuracy and interpretability.

Yuya Yoshikawa, Tomoharu Iwata

Inf. Fusion, 2022

2021

MetaVD: A Meta Video Dataset for enhancing human action recognition datasets.

Yuya Yoshikawa, Yutaro Shigeto, Akikazu Takeuchi

Comput. Vis. Image Underst., 2021

Training Deep Models to be Explained with Fewer Examples.

Tomoharu Iwata, Yuya Yoshikawa

CoRR, 2021

2020

Gaussian Process Regression with Local Explanation.

Yuya Yoshikawa, Tomoharu Iwata

CoRR, 2020

Video Caption Dataset for Describing Human Actions in Japanese.

Yutaro Shigeto, Yuya Yoshikawa, Jiaqing Lin, Akikazu Takeuchi

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

2018

STAIR Actions: A Video Dataset of Everyday Home Actions.

Yuya Yoshikawa, Jiaqing Lin, Akikazu Takeuchi

CoRR, 2018

A Nonparametric Delayed Feedback Model for Conversion Rate Prediction.

Yuya Yoshikawa, Yusaku Imai

CoRR, 2018

2017

Learning from Noisy Label Distributions.

Yuya Yoshikawa

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

STAIR Captions: Constructing a Large-Scale Japanese Image Caption Dataset.

Yuya Yoshikawa, Yutaro Shigeto, Akikazu Takeuchi

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2015

Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions.

Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada, Takeshi Yamada

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Non-Linear Regression for Bag-of-Words Data via Gaussian Process Latent Variable Set Model.

Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Collaboration on Social Media: Analyzing Successful Projects on Social Coding.

Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada

CoRR, 2014

Latent Support Measure Machines for Bag-of-Words Data Classification.

Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2010

Acquiring Expected Influence Curve from Single Diffusion Sequence.

Yuya Yoshikawa, Kazumi Saito, Hiroshi Motoda, Kouzou Ohara, Masahiro Kimura

Proceedings of the Knowledge Management and Acquisition for Smart Systems and Services, 2010