Arpit Garg

Arpit Garg

Higher Degree by Research Candidate

School of Computer and Mathematical Sciences

Faculty of Sciences, Engineering and Technology

My research area is focused on solving the problem of noisy label classification using generative and probabilistic approaches, with a particular interest in the intersection of GANs, audio processing, and NLP. Through my work, I aim to explore the advantages of these techniques, such as their ability to generate synthetic data and their robustness to label noise, and to apply them to real-world datasets in both NLP and audio processing. I also plan to investigate related topics, such as semi-supervised learning and active learning, and to contribute to the ongoing conversation about the potential of generative and probabilistic approaches for solving complex machine learning problems.

  • Education

    Date Institution name Country Title
    2021 University of Adelaide Australia PhD
    2019 - 2021 University of Adelaide Australia Master of Data Science
    2015 - 2019 Rajasthan Technical University India Bachelors of Technology in Computer Science

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