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ORCIDYuya Yoshikawa
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2020 – today
- 2024
[c10]Yuya Yoshikawa, Tomoharu Iwata:
Explanation-based Training with Differentiable Insertion/Deletion Metric-aware Regularizers. AISTATS 2024: 370-378- [i13]Yuya Yoshikawa, Masanari Kimura, Ryotaro Shimizu, Yuki Saito:
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property. CoRR abs/2405.14522 (2024) - 2023
- [j4]Yuya Yoshikawa
, Yutaro Shigeto, Masashi Shimbo, Akikazu Takeuchi:
Action class relation detection and classification across multiple video datasets. Pattern Recognit. Lett. 173: 93-100 (2023) - [j3]Yuya Yoshikawa, Tomoharu Iwata:
Gaussian Process Regression With Interpretable Sample-Wise Feature Weights. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5789-5803 (2023) - [c9]Yutaro Shigeto, Masashi Shimbo, Yuya Yoshikawa, Akikazu Takeuchi:
Learning Decorrelated Representations Efficiently Using Fast Fourier Transform. CVPR 2023: 2052-2060 - [c8]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 - [i12]Yutaro Shigeto, Masashi Shimbo, Yuya Yoshikawa, Akikazu Takeuchi:
Learning Decorrelated Representations Efficiently Using Fast Fourier Transform. CoRR abs/2301.01569 (2023) - [i11]Yuya Yoshikawa, Yutaro Shigeto, Masashi Shimbo, Akikazu Takeuchi:
Action Class Relation Detection and Classification Across Multiple Video Datasets. CoRR abs/2308.07558 (2023) - [i10]Yuya Yoshikawa, Tomoharu Iwata:
Explanation-Based Training with Differentiable Insertion/Deletion Metric-Aware Regularizers. CoRR abs/2310.12553 (2023) - 2022
- [j2]Yuya Yoshikawa, Tomoharu Iwata:
Neural generators of sparse local linear models for achieving both accuracy and interpretability. Inf. Fusion 81: 116-128 (2022) - 2021
- [j1]Yuya Yoshikawa, Yutaro Shigeto, Akikazu Takeuchi:
MetaVD: A Meta Video Dataset for enhancing human action recognition datasets. Comput. Vis. Image Underst. 212: 103276 (2021) - [i9]Tomoharu Iwata, Yuya Yoshikawa:
Training Deep Models to be Explained with Fewer Examples. CoRR abs/2112.03508 (2021) - 2020
- [c7]Yutaro Shigeto, Yuya Yoshikawa, Jiaqing Lin, Akikazu Takeuchi:
Video Caption Dataset for Describing Human Actions in Japanese. LREC 2020: 4664-4670 - [i8]Yutaro Shigeto, Yuya Yoshikawa, Jiaqing Lin, Akikazu Takeuchi:
Video Caption Dataset for Describing Human Actions in Japanese. CoRR abs/2003.04865 (2020) - [i7]Yuya Yoshikawa, Tomoharu Iwata:
Neural Generators of Sparse Local Linear Models for Achieving both Accuracy and Interpretability. CoRR abs/2003.06441 (2020) - [i6]Yuya Yoshikawa, Tomoharu Iwata:
Gaussian Process Regression with Local Explanation. CoRR abs/2007.01669 (2020)
2010 – 2019
- 2018
- [i5]Yuya Yoshikawa, Yusaku Imai:
A Nonparametric Delayed Feedback Model for Conversion Rate Prediction. CoRR abs/1802.00255 (2018) - [i4]Yuya Yoshikawa, Jiaqing Lin, Akikazu Takeuchi:
STAIR Actions: A Video Dataset of Everyday Home Actions. CoRR abs/1804.04326 (2018) - 2017
- [c6]Yuya Yoshikawa, Yutaro Shigeto, Akikazu Takeuchi:
STAIR Captions: Constructing a Large-Scale Japanese Image Caption Dataset. ACL (2) 2017: 417-421 - [c5]Yuya Yoshikawa:
Learning from Noisy Label Distributions. ICANN (2) 2017: 137-145 - [i3]Yuya Yoshikawa, Yutaro Shigeto, Akikazu Takeuchi:
STAIR Captions: Constructing a Large-Scale Japanese Image Caption Dataset. CoRR abs/1705.00823 (2017) - [i2]Yuya Yoshikawa:
Learning from Noisy Label Distributions. CoRR abs/1708.04529 (2017) - 2015
- [c4]Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada:
Non-Linear Regression for Bag-of-Words Data via Gaussian Process Latent Variable Set Model. AAAI 2015: 3129-3135 - [c3]Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada, Takeshi Yamada:
Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions. NIPS 2015: 1405-1413 - 2014
- [c2]Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada:
Latent Support Measure Machines for Bag-of-Words Data Classification. NIPS 2014: 1961-1969 - [i1]Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada:
Collaboration on Social Media: Analyzing Successful Projects on Social Coding. CoRR abs/1408.6012 (2014) - 2010
- [c1]Yuya Yoshikawa, Kazumi Saito, Hiroshi Motoda, Kouzou Ohara, Masahiro Kimura:
Acquiring Expected Influence Curve from Single Diffusion Sequence. PKAW 2010: 273-287
Coauthor Index
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