no code implementations • ICLR 2020 • Tsuyoshi Okita, Hirotaka Hachiya, Sozo Inoue, Naonori Ueda
The understanding of sensor data has been greatly improved by advanced deep learning methods with big data.
2 code implementations • ECCV 2020 • Yuki Saito, Takuma Nakamura, Hirotaka Hachiya, Kenji Fukumizu
Matching two different sets of items, called heterogeneous set-to-set matching problem, has recently received attention as a promising problem.
1 code implementation • 18 Jun 2012 • Ning Xie, Hirotaka Hachiya, Masashi Sugiyama
Oriental ink painting, called Sumi-e, is one of the most appealing painting styles that has attracted artists around the world.
no code implementations • NeurIPS 2011 • Tingting Zhao, Hirotaka Hachiya, Gang Niu, Masashi Sugiyama
We also theoretically show that PGPE with the optimal baseline is more preferable than REINFORCE with the optimal baseline in terms of the variance of gradient estimates.
no code implementations • NeurIPS 2011 • Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama
Divergence estimators based on direct approximation of density-ratios without going through separate approximation of numerator and denominator densities have been successfully applied to machine learning tasks that involve distribution comparison such as outlier detection, transfer learning, and two-sample homogeneity test.