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Taiki Miyagawa
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2020 – today
- 2023
- [c7]Akinori F. Ebihara, Taiki Miyagawa, Kazuyuki Sakurai, Hitoshi Imaoka:
Toward Asymptotic Optimality: Sequential Unsupervised Regression of Density Ratio for Early Classification. ICASSP 2023: 1-5 - [c6]Hiroshi Fukui, Taiki Miyagawa, Yusuke Morishita:
Multi-Object Tracking as Attention Mechanism. ICIP 2023: 505-509 - [i6]Akinori F. Ebihara, Taiki Miyagawa, Kazuyuki Sakurai, Hitoshi Imaoka:
Toward Asymptotic Optimality: Sequential Unsupervised Regression of Density Ratio for Early Classification. CoRR abs/2302.09810 (2023) - [i5]Hiroshi Fukui, Taiki Miyagawa, Yusuke Morishita:
Multi-Object Tracking as Attention Mechanism. CoRR abs/2307.05874 (2023) - 2022
- [c5]Azusa Sawada, Taiki Miyagawa, Akinori F. Ebihara, Shoji Yachida, Toshinori Hosoi:
Convolutional Neural Networks for Time-dependent Classification of Variable-length Time Series. IJCNN 2022: 1-8 - [c4]Taiki Miyagawa:
Toward Equation of Motion for Deep Neural Networks: Continuous-time Gradient Descent and Discretization Error Analysis. NeurIPS 2022 - [i4]Azusa Sawada, Taiki Miyagawa, Akinori F. Ebihara, Shoji Yachida, Toshinori Hosoi:
Convolutional Neural Networks for Time-dependent Classification of Variable-length Time Series. CoRR abs/2207.03718 (2022) - [i3]Taiki Miyagawa:
Toward Equation of Motion for Deep Neural Networks: Continuous-time Gradient Descent and Discretization Error Analysis. CoRR abs/2210.15898 (2022) - 2021
- [c3]Kazuya Kakizaki, Taiki Miyagawa, Inderjeet Singh
, Jun Sakuma:
Toward Practical Adversarial Attacks on Face Verification Systems. BIOSIG 2021: 113-124 - [c2]Akinori F. Ebihara, Taiki Miyagawa, Kazuyuki Sakurai, Hitoshi Imaoka:
Sequential Density Ratio Estimation for Simultaneous Optimization of Speed and Accuracy. ICLR 2021 - [c1]Taiki Miyagawa, Akinori F. Ebihara:
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization. ICML 2021: 7792-7804 - [i2]Akinori F. Ebihara, Taiki Miyagawa:
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization. CoRR abs/2105.13636 (2021) - 2020
- [i1]Akinori F. Ebihara, Taiki Miyagawa, Kazuyuki Sakurai, Hitoshi Imaoka:
Deep Neural Networks for the Sequential Probability Ratio Test on Non-i.i.d. Data Series. CoRR abs/2006.05587 (2020)
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