नमस्कार (Namaskár) !

About Me

I'm Ayush Maheshwari (आयुष माहेश्वरी) working as a PhD scholar at Indian Institute of Technology Bombay (India) with Prof. Ganesh Ramakrishnan and Prof. Manjesh Kumar Hanawal . My research interests broadly lie in the area of Natural Language Processing, Graphs from machine learning perspective. Currenlty, I am working on semi- and un-supervised machine learning problems with data-programming.

  • I spent my summer 2021 as Research Intern at Adobe Research, Bengaluru. (May-August 2021)
  • I thank Ekal Foundation for selecting me as Ekal Fellow.

In my spare time, I enjoy reading about Indian culture, Ramáyaṇa and Mahábhárat.

Publications

  1. Semi-Supervised Data Programming with Subset Selection, Long Paper, Findings of ACL 2021

    Ayush Maheshwari, Oishik Chatterjee, Krishnateja Killamsetty, Ganesh Ramakrishnan and Rishabh Iyer
    [PDF]   [Code]    [Video]    {Cite}
  2. Rule Augmented Unsupervised Constituency Parsing, Short Paper, Findings of ACL 2021

    Atul Sahay, Anshul Nasery, Ayush Maheshwari, Ganesh Ramakrishnan and Rishabh Iyer
    [PDF]    [Code]    {Cite}   
  3. Unsupervised Learning of Explainable Parse Trees for Improved Generalisation, IJCNN 2021

    Atul Sahay, Ayush Maheshwari, Ritesh Kumar, Ganesh Ramakrishnan, Manjesh Kumar Hanawal, Kavi Arya
    [PDF]    [Code]    {Cite}
  4. Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification, EACL 2021

    Soumya Chatterjee*, Ayush Maheshwari*, Ganesh Ramakrishnan, Saketha Nath Jagaralpudi
    [PDF]   [Code]   [Video]   [Poster]   {Cite}
  5. Tale of tails using rule augmented sequence labeling for event extraction, StarAI Workshop at AAAI 2020

    Ayush Maheshwari, Hrishikesh Patel, Nandan Rathod, Ritesh Kumar, Ganesh Ramakrishnan, Pushpak Bhattacharyya
    [PDF]   {Cite}
  6. OCR On-the-Go: Robust End-to-end Systems for Reading License Plates and Street Signs , ICDAR 2019

    Rohit Saluja, Ayush Maheshwari, Ganesh Ramakrishnan, Parag Chaudhuri, Mark Carman
    [PDF]   {Cite}
  7. DynGAN: Generative Adversarial Networks for Dynamic Network Embedding , Graph Representation Learning Workshop, NeurIPS, 2019

    Ayush Maheshwari, Ayush Goyal, Manjesh Kumar Hanawal, Ganesh Ramakrishnan
    [PDF]   [Poster]  
  8. Representation Learning on Graphs by Integrating Content and Structure Information, COMSNETS 2019

    Ayush Maheshwari, Ayush Goyal, Amit Kumar, Manjesh Kumar Hanawal, Ganesh Ramakrishnan
    [PDF]   [Code]   {Cite}
  9. Entity Resolution and Location Disambiguation in the Ancient Hindu Temples Domain using Web Data, NAACL 2018

    Ayush Maheshwari, Vishwajeet Kumar, Ganesh Ramakrishnan, J. Saketha Nath
    [PDF]   {Cite}
    Temples of India
  10. Peak Electricity Demand and Global Warming in the Industrial and Residential areas of Pune : An Extreme Value Approach, arxiv 2018

    [PDF]

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