Takashi Shibuya

According to our database, Takashi Shibuya authored at least 14 papers between 2009 and 2024.

Collaborative distances:

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

2024

HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes.

Yuhta Takida, Yukara Ikemiya, Takashi Shibuya, Kazuki Shimada, Woosung Choi, Chieh-Hsin Lai, Naoki Murata, Toshimitsu Uesaka, Kengo Uchida, Wei-Hsiang Liao, Yuki Mitsufuji

CoRR, 2024

2023

On the Language Encoder of Contrastive Cross-modal Models.

Mengjie Zhao, Junya Ono, Zhi Zhong, Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Wei-Hsiang Liao, Takashi Shibuya, Hiromi Wakaki, Yuki Mitsufuji

CoRR, 2023

Zero- and Few-shot Sound Event Localization and Detection.

Kazuki Shimada, Kengo Uchida, Yuichiro Koyama, Takashi Shibuya, Shusuke Takahashi, Yuki Mitsufuji, Tatsuya Kawahara

CoRR, 2023

BigVSAN: Enhancing GAN-based Neural Vocoders with Slicing Adversarial Network.

Takashi Shibuya, Yuhta Takida, Yuki Mitsufuji

CoRR, 2023

Diffusion-Based Speech Enhancement with Joint Generative and Predictive Decoders.

Hao Shi, Kazuki Shimada, Masato Hirano, Takashi Shibuya, Yuichiro Koyama, Zhi Zhong, Shusuke Takahashi, Tatsuya Kawahara, Yuki Mitsufuji

CoRR, 2023

Extending Audio Masked Autoencoders toward Audio Restoration.

Zhi Zhong, Hao Shi, Masato Hirano, Kazuki Shimada, Kazuya Tateishi, Takashi Shibuya, Shusuke Takahashi, Yuki Mitsufuji

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2023

XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models.

Dong-Ho Lee, Akshen Kadakia, Brihi Joshi, Aaron Chan, Ziyi Liu, Kiran Narahari, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022

A Versatile Diffusion-based Generative Refiner for Speech Enhancement.

Ryosuke Sawata, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Takashi Shibuya, Shusuke Takahashi, Yuki Mitsufuji

CoRR, 2022

SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization.

Yuhta Takida, Takashi Shibuya, Wei-Hsiang Liao, Chieh-Hsin Lai, Junki Ohmura, Toshimitsu Uesaka, Naoki Murata, Shusuke Takahashi, Toshiyuki Kumakura, Yuki Mitsufuji

Proceedings of the International Conference on Machine Learning, 2022

Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER.

Dong-Ho Lee, Akshen Kadakia, Kangmin Tan, Mahak Agarwal, Xinyu Feng, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2020

Nested Named Entity Recognition via Second-best Sequence Learning and Decoding.

Takashi Shibuya, Eduard H. Hovy

Trans. Assoc. Comput. Linguistics, 2020

2013

Audio fingerprinting robust against reverberation and noise based on quantification of sinusoidality.

Takashi Shibuya, Mototsugu Abe, Masayuki Nishiguchi

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013

2010

Learning Interaction Rules through Compression of Sensori-Motor Causality Space.

Takatsugu Kuriyama, Takashi Shibuya, Tatsuya Harada, Yasuo Kuniyoshi

Proceedings of the Tenth International Conference on Epigenetic Robotics (EpiRob 2010), 2010

2009

Causality quantification and its applications: structuring and modeling of multivariate time series.

Takashi Shibuya, Tatsuya Harada, Yasuo Kuniyoshi

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009