77 citations · 371 across the 21 of their papers we have counts for
4 papers · 1 filter
Finding Appropriate Traffic Regulations via Graph Convolutional Networks
Tomoharu Iwata, Takuma Otsuka, Hitoshi Shimizu +3
Appropriate traffic regulations, e.g. planned road closure, are important in congested events. Crowd simulators have been used to find appropriate regulations by simulating multipl…
Unsupervised Object Matching for Relational Data
Tomoharu Iwata, Naonori Ueda
We propose an unsupervised object matching method for relational data, which finds matchings between objects in different relational datasets without correspondence information. Fo…
Partial AUC Maximization via Nonlinear Scoring Functions
Naonori Ueda, Akinori Fujino
We propose a method for maximizing a partial area under a receiver operating characteristic (ROC) curve (pAUC) for binary classification tasks. In binary classification tasks, accu…
Few-shot learning of neural networks from scratch by pseudo example optimization
Akisato Kimura, Zoubin Ghahramani, Koh Takeuchi +2
In this paper, we propose a simple but effective method for training neural networks with a limited amount of training data. Our approach inherits the idea of knowledge distillatio…