Kosuke Haruki

According to our database, Kosuke Haruki authored at least 4 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Dimensionality-Induced Information Loss of Outliers in Deep Neural Networks.

Kazuki Uematsu, Kosuke Haruki, Taiji Suzuki, Mitsuhiro Kimura, Takahiro Takimoto, Hideyuki Nakagawa

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2022

Data-Parallel Momentum Diagonal Empirical Fisher (DP-MDEF):Adaptive Gradient Method is Affected by Hessian Approximation and Multi-Class Data.

Chenyuan Xu, Kosuke Haruki, Taiji Suzuki, Masahiro Ozawa, Kazuki Uematsu, Ryuji Sakai

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2020

Dual-encoder Bidirectional Generative Adversarial Networks for Anomaly Detection.

Teguh Budianto, Tomohiro Nakai, Kazunori Imoto, Takahiro Takimoto, Kosuke Haruki

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2019

Gradient Noise Convolution (GNC): Smoothing Loss Function for Distributed Large-Batch SGD.

Kosuke Haruki, Taiji Suzuki, Yohei Hamakawa, Takeshi Toda, Ryuji Sakai, Masahiro Ozawa, Mitsuhiro Kimura

CoRR, 2019