Taiki Miyagawa

According to our database1, Taiki Miyagawa authored at least 8 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
Multi-Object Tracking as Attention Mechanism.
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

Toward Practical Adversarial Attacks on Face Verification Systems.
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


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