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About Me

Hey there! I am a Master's student at the University of Toronto where my advisor is Yang Xu. My research focuses on exploring computational models of the cognitive mechanisms that underlie language change. I am very fortunate to have my research supported by a Vector Scholarship in Artificial Intelligence.

Previously, I worked on training deep generative models, discovering rude behaviour through semantic and acoustic cues, and performing activity recognition via live sensing.


  • Learning Deep Representations by Mutual Information Estimation and Maximization
    R Devon Hjelm, Alex Fedorov, Samuel Lavoie, Karan Grewal, Phil Bachman, Adam Trischler, Yoshua Bengio.
    ICLR 2019.
    [pdf] [slides]
  • Variance Regularizing Adversarial Learning
    *Karan Grewal, *R Devon Hjelm, Yoshua Bengio.
    ICML 2017 workshop on Implicit Generative Models.
    [pdf] [slides]
  • On the Challenges of Detecting Rude Conversational Behaviour
    Karan Grewal, Khai N. Truong.


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MISE is an intensive summer camp for bright high school students to learn about cutting-edge research in engineering and other sciences. Recently, I was a research mentor at MISE in Ghana where I taught a select group of students about machine learning and its applications to computer security. I hope my efforts will motivate them to one day become leaders in these fields and transform the global R&D landscape.