17th July 2020, 9:00AM – 7:00PM ESTThe workshop will be held virtually due to travel restrictions associated with COVID-19.
*** Conference schedule, Poster Zoom Links etc. are available here ***
Alina Beygelzimer (Yahoo! Research)
Call for papersExtreme classification is a rapidly growing research area focussing on multi-class and multi-label problems involving an extremely large number of labels. It brings many diverse approaches under the same umbrella including natural language processing (NLP), computer vision, information retrieval, recommendation systems, computational advertising, and embedding methods. Extreme classifiers have been deployed in many real-world applications in the industry ranging from language modelling to document tagging in NLP, face recognition to learning universal feature representations in computer vision, etc. Moreover, extreme classification finds application in recommendation, tagging, and ranking systems since these problems can be reformulated as multi-label learning tasks where each item to be ranked or recommended is treated as a separate label. Such reformulations have led to significant gains over traditional collaborative filtering and content-based recommendation techniques. Consequently, extreme classifiers have been deployed in many real-world applications in industry.
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. 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 informationWe solicit high-quality full papers that have not been published before in any other conferences or journals. The page limit for full papers is 8 pages without including references. We also allow submission of short abstracts of papers which have been published recently in case the authors seek more exposition for their work. The page limit for short abstracts is 4 pages without including references. For the short abstracts, please also provide a reference to the original full paper. All submissions will be considered for poster presentations. Some best quality submissions might also be considered for oral presentations. We will also have a best paper award.
Please submit full papers or short abstracts at XC20.
Submission deadline: Friday, 19th June 2020 (23:59 Pacific Time)
Author notification: 7th July 2020
All submissions must use the ICML template. Submissions should be in .pdf format. The review process is both single-blind and double-blind, so feel free to anonymize your submissions if so desired.
LinksExtreme classification resources
The CVPR 2020 Extreme
Classification in Computer Vision Workshop