Himanshu Jain

PhD Student, Department of Computer Science and Engineering
Indian Institute of Technology, Delhi
email: himanshu.j689@gmail.com
CV


About Me

I am a senior PhD student in the Department of Computer Science at the Indian Institute of Technology, Delhi and a Google PhD Fellow. My PhD advisor is Dr. Manik Varma. I completed my bachelor's and master's degree in Mechanical Engineering from the Indian Institute of Technology, Kanpur in the year 2012.
My thesis research is on Extreme Multi-label Learning where the objective is to learn a classifier that can automatically tag a datapoint with the most relevant subset of labels from an extremely large label set. On application side, I apply extreme classification algorithms to solve tagging, ranking and recommendation problems. Apart from algorithm development, I also work on designing suitable loss functions for these problems.


Publications

  • H. Jain, V. Balasubramanian, B. Chunduri and M. Varma. Slice: Scalable linear extreme classifiers trained on 100 million labels for related searches. In Proceedings of the ACM International Conference on Web Search and Data Mining, Melbourne, Australia, Feburary 2019.
    Bibtex source | Abstract | Download in pdf format | Supplmentary in pdf format | Code | Extreme Classification Repository

  • H. Jain, Y. Prabhu and M. Varma. Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications. In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, San Francisco, California, August 2016.
    Bibtex source | Abstract | Download in pdf format | Supplmentary in pdf format | Code | Extreme Classification Repository

  • K. Bhatia, H. Jain, P. Kar, M. Varma and P. Jain. Sparse local embeddings for extreme multi-label classification. In Advances in Neural Information Processing Systems, Montreal, Canada, December 2015.
    Bibtex source | Abstract | Download in pdf format | Code | Extreme Classification Repository


  • Resources

    The Extreme Classification Repository

    This repository provides benchmark multi-label datasets and code that can be used for evaluating the performance of extreme multi-label algorithms. It also provides comparative results of various algorithms on all the benchmark datasets.


    Personal

    I love trekking, and aim to go for atleast 2 treks per year but as is usually the case, haven't been able to manage that :(
    So far I have been to the following treks:

    • 4 Mile trail + Panorama trail, Yosemite national park (2199 m)
    • Half Dome, Yosemite national park (2695 m)
    • Buran Ghati Trek (4572 m)
    • Brahmatal Trek (3733 m)
    • Chadar Trek to Lingshed (3900 m): Checkout the trek video
    • Pin Parvati Pass (5300 m): Checkout the trek video
    • Rupin Pass (4650 m)
    • Lamayuru - Hemis Shukpachan Trek (3500 m)
    • Sandakphu (3600 m)
    • Small treks around pune