Continual learning (CL) is widely regarded as crucial challenge for lifelong AI. However,
existing CL benchmarks, eg Permuted-MNIST and Split-CIFAR, make use of artificial …

In this paper, we propose a new measure to estimate the similarity between brands via posts
of brands' followers on social network services (SNS). Our method was developed with the …

This work studies the representational embedding of images and their corresponding
annotations--in the form of tag metadata--such that, given a piece of the raw data in one …

抄録 Exploring brands that customers are likely to purchase jointly has a profound effect on
marketing. This study proposes a new way to measure, or estimate the similarity between …

Learning models of visual perception lies at the heart of a number of computer vision
problems, including object detection, image description, motion tracking, and more. There …

The outputs of neural networks, either in the form of convolutional feature maps pre-trained
on ImageNet or distributed word representations fit to text from news articles, have proven to …