Call for papersExtreme classification, where one needs to deal with multi-class and multi-label problems involving a very large number of categories, has opened up a new research frontier in machine learning. Many challenging applications, such as photo and video annotation and web page categorization, can benefit from being formulated as supervised learning tasks with millions, or even billions, of categories. Extreme classification can also give a fresh perspective on core learning problems such as ranking and recommendation by reformulating them as multi-class/label tasks where each item to be ranked or recommended is a separate category.
Extreme classification raises a number of interesting research questions including those related to:
The workshop aims to bring together researchers interested in these areas to foster discussion and improve upon the state-of-the-art in extreme classification. Several leading researchers will present invited talks detailing the latest advances in the field. We also seek extended abstracts/full papers presenting current work which will be reviewed for acceptance as a spotlight+poster or a talk. The workshop should be of interest to researchers in core supervised learning as well as application domains such as computer vision, computational advertising, information retrieval and natural language processing.
Submission informationPlease e-mail extended abstracts/full papers to email@example.com by 9th October 2013.