Call for papersExtreme classification, where one needs to deal with multi-class and multi-label problems involving an extremely large number of labels, has opened up a new research frontier in machine learning. Many challenging applications, such as photo, video and tweet annotation and web page categorization, can benefit from being formulated as supervised learning tasks with millions of labels. Extreme classification can also lead to a fresh perspective on other 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 label.
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 encourage discussion and improve upon the state-of-the-art in extreme classification. In particular, we aim to bring together researchers from the natural language processing, computer vision and core machine learning communities to foster interaction and collaboration. Several leading researchers will present invited talks detailing the latest advances in the area. We also seek extended abstracts presenting work in progress which will be reviewed for acceptance as spotlight+poster or a talk. The workshop should be of interest to researchers in core supervised learning as well as application domains such as recommender systems, computer vision, computational advertising, information retrieval and natural language processing. We expect a healthy participation from both industry and academia.
Submission informationPlease submit extended abstracts/full papers at XC16 by 9th October 2016.