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  1. I am a Distinguished Scientist and Vice President at Microsoft Research India where my primary job is to not come in the way of a team carrying out research on various aspects of machine learning, information retrieval, natural language processing, systems and related areas.

  2. Microsoft Research Lab – India. “Vigyan”, No. 9, Lavelle Road, Bengaluru, Karnataka, 560 001. India. +91 (80) 66586000. Learn more. This webpage might not be updated very frequently. For the latest information, please visit my personal webpage: Manik Varma.

  3. en.wikipedia.org › wiki › Manik_VarmaManik Varma - Wikipedia

    Manik Varma (16 May 1926 – 10 November 1996) was an Indian classical singer from the Kirana and Agra gharanas (singing styles).

  4. Articles 1–20. ‪Distinguished Scientist and Vice President, Microsoft Research India‬ - ‪‪Cited by 11,840‬‬ - ‪Machine Learning‬ - ‪Information Retrieval‬ - ‪Computer Vision‬.

  5. The objective of extreme multi-label classification (XC) is to learn feature architectures and classifiers that can automatically tag a data point with the most relevant subset of labels from an extremely large label set. This repository provides resources, including XC datasets, code for leading XC methods and metrics to evaluate the ...

  6. Manik Varma is an Indian computer scientist and a senior principal researcher at Microsoft Research India. He also holds an adjunct professor of computer science position at the Indian Institute of Technology Delhi.

  7. Manik Varma is a Distinguished Scientist and Vice President at Microsoft Research India where his primary job is to not come in the way of a team carrying out research on various aspects of machine learning and artificial intelligence.

  8. Nov 26, 2020 · Enter Dr. Manik Varma, a Partner Researcher at Microsoft Research India. In 2013, Varma and his colleagues developed an algorithm that could answer queries with millions of choices —kickstarting a new field of machine learning known as extreme classification in the process.

  9. Feb 13, 2019 · Manik Varma: The whole premise in supervised machine learning is that there’s an expert sitting out there who we can give our data to, and he or she will label the data with ground truth: what’s the right answer, right?

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