Taiki Miyagawa
According to our database1,
Taiki Miyagawa
authored at least 9 papers
between 2020 and 2024.
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Bibliography
2024
Prompt Tuning for Audio Deepfake Detection: Computationally Efficient Test-time Domain Adaptation with Limited Target Dataset.
CoRR, 2024
2023
Proceedings of the IEEE International Conference on Image Processing, 2023
Toward Asymptotic Optimality: Sequential Unsupervised Regression of Density Ratio for Early Classification.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Toward Equation of Motion for Deep Neural Networks: Continuous-time Gradient Descent and Discretization Error Analysis.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Convolutional Neural Networks for Time-dependent Classification of Variable-length Time Series.
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization.
Proceedings of the 38th International Conference on Machine Learning, 2021
Sequential Density Ratio Estimation for Simultaneous Optimization of Speed and Accuracy.
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 20th International Conference of the Biometrics Special Interest Group, 2021
2020
Deep Neural Networks for the Sequential Probability Ratio Test on Non-i.i.d. Data Series.
CoRR, 2020