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Keynote Talk: Model Based Machine Learning



Microsoft Research

The Academic Research Summit, co-organized by Microsoft Research and the Association for Computing Machinery, is a forum to foster meaningful discussion among the Indian computer science research community and raise the bar on research efforts.

The third edition of Academic Research Summit was held at the International Institute of Information Technology (IIIT) Hyderabad on the 24th and 25th of January 2018.

The agenda included keynotes and talks from distinguished researchers from India and across the world. The summit also had sessions focused on specific topics related to the theme of Artificial Intelligence: A Future with AI.

More talks at: https://www.youtube.com/playlist?list=PLD7HFcN7LXRcBpyp34moH_-dVJTX7bXxW

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4 thoughts on “Keynote Talk: Model Based Machine Learning
  1. You say that the model of a person restricts the expressions of freedom so that less data is needed to conclude that any data is a person – fine. But then you say that a convolutional layer represent a model of a person when it clearly is not. Rather the convolutional layer has parameters which iteratively change according to an algorithm to converge towards to a structured representation of a person. Clearly the product is the model we're after and the convolutional layer is more like a 'meta model'. It seems reasonable that the more degrees of freedom this meta model allows for the more kinds of models it can derive, right?

  2. Part of the confusion about applicability of GPM was due to the fact that, after 2014 , November there was no release for infer.net. Is there any work happening or , is it getting interated to CNTK?

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