Talks and Seminars

Due to limited time, I no longer update this page. Directly email me for presentation slides.

  • Finding Your Way in this World - Research as a Career,
    Core Talk, Outreach Cell Alumni Association, IIT Kanpur [PPT]

  • Inside the Mind of Master Procastination, valuable lesson from the Ted Talk by Tim Urban,
    Bloomberg Ted Talk Series [PPT], UDLS Lecture

  • Logic Driven Classification using Recasted Data for Low Resource Settings (Oct 6)
    Alokit Innovation, Utah Data Seminar, SIGML IIT-K

  • Improving Document Embedding with Multi-Sense Embedding (Sep 2020)
    ECAI 2020

  • InfoTabS: Inference on Tables as Semi-Structured Data (Aug 2020)
    Verisk Analytics, Utah Data Science Seminar, BCS IIT Kanpur, Facebook Research

  • Logical Natural Language Generation from Open-Domain Tables
    Utah NLP Group ACL 20-recap

  • Inherent Disagreements in Human Textual Inferences (Aug 2020)
    Utah NLP Group ACL 20-recap

  • InfoTabS: Inference on Tables as Semi-Structured Data (July 2020)
    ACL 2020, MLSS 2020

  • InfoTabS: Inference on Tables as Semi-Structured Data (Jan 2020)
    IIT-Kanpur,Delhi,Jodhpur, IISC Bangalore, IBM Research, India, IITG.ai IIT Guwahati, and IIIT Delhi [PPT]

  • P-SIF: Document Representation using Partition Word-Vectors Averaging (Feb 2020)
    AAAI 2020, New York [PPT]

  • Experience of Coordinating SIGML Research Group at IIT Kanpur (Feb 2020)
    IITG.ai Group, IIT Guwahati

  • Is SOA really SOA? Artifacts Learning Problem in NLP (September 2019)
    Natural Language Processing Group, Kahlert School of Computing, University of Utah [PPT]

  • Document Vector Estimation using Partition Word-Vectors Averaging (June 2019)
    IBM Research [PPT]

  • Word Polysemy aware Document Vector Estimation (June 2019)
    NAACL 2019 [PPT]

  • Natural Language Processing in E-Commerce, A Case Study (Invited Talk) (March 2019)
    Data Science Cluab, University of Utah [PPT]

  • Distributional Semantics meets Multi-label Learning (Feb 2019)
    AAAI 2019, Honolulu, Hawaii [PPT]

  • Unsupervised Document Representation using Partition Word-Vectors Averaging (Jan 2019)
    Data Science Seminar, Spring 2019, University of Utah [PPT]

  • Distributional Semantics meets Multi-label Learning (Jan 2019)
    Natural Language Processing Group, Kahlert School of Computing, University of Utah [PPT]

  • The Social Impact of Natural Language Processing (Jan 2019)
    NLP Seminar, Spring 2019, University of Utah [PPT]

  • No Gloves Required: Simple rule based QA System (Dec 2019) (with Maitrey Mehta)
    CS 6340 : Natural Language Processing, Fall 2019, University of Utah [PPT]

  • Explainable-AI (XAI) (October 2018)
    Natural Language Processing Group, Kahlert School of Computing, University of Utah [PPT]

  • Unsupervsied Document Representation (June 2018)
    MALL LAB, IISC Bangalore (Host: Prof. Partha Talukdar) [PPT]

  • Machine Learning Group, Future of IITG.ai (April 2018)
    CSE Department, IIT Guwahati [PPT]

  • Natural Language Processing in E-Commerce, A Case Study (April 2018)
    CSE Department, IIT Jodhpur

  • User bias removal in review score prediction (Jan 2018)
    CoDS-COMAD 2018, Goa [PPT].

  • Text Categorization using Sparse Document Vector (Nov 2017)
    CSE Department, IIT Kanpur

  • Research Fellow Program at Microsoft Research, India (Nov 2017)
    CSE Department, IIT Kanpur

  • Distributionl Semantics & Machine Learning (Nov 2017)
    Bing Team, MS-IDC, Hyderabad (Host: Dr Manish Gupta)

  • Sparse Composite Document Vectors(Sep 2017)
    EMNLP 2017, Copenhagen (Denmark) [PPT]

  • Text Categorization using Sparse Composite Document Vectors (June 2017)
    CFILT Group, IIT Bombay [PPT]

  • Research as a Student (June 2017)
    Think Research Club, VIT, Bombay (Invited Talk) [PPT]

  • Text Classification using Sparse Composite Document Vectors (March 2017)
    YAML, Microsoft Research India, Bangalore [PPT]

  • Natural Language Processing in E-Commerce, A Case Study (Invited Talk) (Feb 2017)
    Botathon Event Forge Accelerator, Coimbatore [PPT]

  • Speeding up Stochastic Gradient (Nov 2016)
    RF Talk, Microsoft Research India, Bangalore [PPT]

  • Product Classification using Distributional Semantics (August 2016)
    Microsoft Research India, Bangalore and IBM Research Lab, India [PPT]

  • Ocular, Vision for Visually Impaired (May 2016)
    Erricson Innovation Award, IIT Delhi [PPT], [PIC]

  • Deep Classification in Large Scale Web Hierarchy (August 2015)
    MLRD, SIGML IIT Kanpur and Flipkart Internet Pvt. Ltd. [PPT].

  • OWASP TOP 10 Web Application Security (Invited Talk) (July 2015)
    Lecture Series Karunya University of Technology & Science (Invited).

  • Parametric R Tree, Indexing of Moving Object (Dec 2014)
    Indexing and Searching in Large Databases Seminar [PPT]