Articles

  1. Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising,
    Yashoteja Prabhu, Anil Kag, Shrutendra Harsola, Rahul Agrawal, and Manik Varma,
    The Web Conference (WWW), 2018.
    paper pdf | supplementary pdf

  2. Extreme Multi-label Learning with Label Features for Warm-Start Tagging, Ranking and Recommendation,
    Yashoteja Prabhu, Anil Kag, Shilpa Gopinath, Shrutendra Harsola, Rahul Agrawal, and Manik Varma,
    International Conference on Web Search and Data Mining (WSDM), 2018.
    paper pdf | supplementary pdf

  3. Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking and Other Missing Label Applications,
    Himanshu Jain, Yashoteja Prabhu, and Manik Varma,
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2016.
    paper pdf | supplementary pdf | poster pdf

  4. FastXML: A Fast, Accurate and Stable Tree-classi´Čüer for eXtreme Multi-label Learning,
    Yashoteja Prabhu, and Manik Varma,
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2014.
    paper pdf | poster pdf

  5. Multi-Label Learning with Millions of Labels: Recommending Advertiser Bid Phrases for Web Pages,
    Rahul Agrawal, Archit Gupta, Yashoteja Prabhu, and Manik Varma,
    The Web Conference (WWW), 2013.
    paper pdf

  6. Resolving Occlusion in Multiframe Reconstruction of Deformable Surfaces,
    Appu Shaji, Aydin Varol, Pascal Fua, Yashoteja Prabhu, Ankush Jain, and Sharat Chandran,
    Computer Vision and Pattern Recognition Workshops (CVPRW), 2011.
    paper link