Mitesh Khapra Home Page
Assistant Professor
Email : miteshk [at] cse [dot] iitm [dot] ac [dot] in   |   Phone : 4371
Lab(s) : IIL Lab.
Link to Personal Homepage

Research Interests :

Statistical Machine Translation, Text Analytics, Deep Learning and Crowd-sourcing

Publications : (Last Five, while at IITM)DBLP | View All

  • Joint Transformer/RNN Architecture for Gesture Typing in Indic Languages. 
    Authors : Emil Biju, Anirudh Sriram, Mitesh Khapra, Pratyush Kumar
    Appeared in Proceedings of the 28th International Conference on Computational Linguistics, COLING 2020, Barcelona, Spain (Online), December 8-13, 2020 (COLING 2020) ,pp.999-1010, Dec 2020
  • iNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages. 
    Authors : Divyanshu Kakwani, Anoop Kunchukuttan, Satish Golla, Gokul N. C., Avik Bhattacharyya, Mitesh Khapra, Pratyush Kumar
    Appeared in Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, EMNLP 2020, Online Event, 16-20 November 2020. (EMNLP 2020) ,pp.4948-4961, Nov 2020
  • On the weak link between importance and prunability of attention heads. 
    Authors : Aakriti Budhraja, Madhura Pande, Preksha Nema, Pratyush Kumar, Mitesh Khapra
    Appeared in Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020 (EMNLP 2020) ,pp.3230-3235, Nov 2020
  • Towards Interpreting BERT for Reading Comprehension Based QA. 
    Authors : Sahana Ramnath, Preksha Nema, Deep Sahni, Mitesh Khapra
    Appeared in Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020 (EMNLP 2020) ,pp.3236-3242, Nov 2020
  • INCLUDE: A Large Scale Dataset for Indian Sign Language Recognition. 
    Authors : Advaith Sridhar, Rohith Gandhi Ganesan, Pratyush Kumar, Mitesh Khapra
    Appeared in MM '20: The 28th ACM International Conference on Multimedia, Virtual Event / Seattle, WA, USA, October 12-16, 2020, pp.1366-1375, Oct 2020

(Recent) Teaching : View All  |  Back to top

Feb 2021 - May 2021 : - Foundations of Deep Learning (CS6910)
Feb 2021 - May 2021 : - Algorithmic Foundations of Data Science (CS6741)
Aug 2020 - Dec 2020 : - Linear Algebra and Random Processes (CS6015)
Jul 2019 - Nov 2019 : - Topics in Deep Learning (CS7016)
Jan 2019 - May 2019 : - Object Oriented Algorithms Implementation and Analysis Lab (CS2810)

(Current) Advisees View All  |  Back to top

ProgramNameRoll No.Joining DateFunding
PhDPreksha NemaCS15D201Jul 2015HTRA
PhDJoshi Salil RajeevCS16D015Dec 2016EXTERNAL
PhDAmrita SahaCS16D016Dec 2016EXTERNAL
PhDAnanya Sai BCS18D016Jan 2019HTRA
MSPritha GangulyCS17S013Jul 2017HTRA
MSMethani Nitesh SureshlalCS17S008Jul 2017HTRA
MSMadhura PandeCS17S031Mar 2018HTRA
MSMayank Jagdishbhai JobanputraCS20S019Sep 2020
MSYash Hareshkumar MadhaniCS20S002Sep 2020
M.TechBethu Sai SampathCS19M018Jul 2019HTTA