Machine Learning Academic Paper Review – Best Practice & Resources

This post has been republished via RSS; it originally appeared at: New blog articles in Microsoft Tech Community.

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Academic papers also known as research papers or refers to those papers which reach a particular objective or analysis through arguments and analysis, provided by past inferences or factual data.

Methods of study for conducting academic research and writing an academic paper might differ according to the subject and level of study but the basic structure of academic papers, following remains more or less the same

 

Why does reviewing an academic paper provide students with anxiety?

 

From discussion most of the panic stems from not knowing a great deal about the technical features of where to start in paper analysis. There are no hard and fast rules on how to write or review an academic paper.

 

Some key things are as follows

One of the key areas is developing logical argument systematically and creatively. and develop your conclusion.  The Microsoft Commercial Software Engineering Machine Learning team have a very interesting literature paper review call every other week.  These sessions are recorded and made available on youtube at https://www.youtube.com/channel/UCXvHuBMbgJw67i5vrMBBobA/videos

 

Machine learning is hard, and learning it seems insurmountable at times. We believe that having a firm grasp of the literature and seminal papers is a sure-fire way to accelerate knowledge. The reason for this is the amount of rigor which goes into getting a paper published is astonishing. If you understand a paper, it means you transitively understand a lot more without even realising.

 

The Youtube resources are amazing for students they provide a simple way of:

  1. Empowering you to learn and understanding leading edge research coming out of institutions from around the world at conferences like ICML, CVPR, NIPS, etc. and published on platforms like Arxiv
  2. Understand the fundamental research advances (via seminal papers) that allow us to become better at developing papers and undertaking academic paper review and event development of applications.
  3. The overriding goal here is to explain a paper using the simplest possible terms and avoiding jargon or mathiness.

The format will be as follows;

  • 0-20 mins;
    • Literature review i.e. context setting
    • Key findings discussion
    • Critical appraisal
    • Practical take-homes
  • 20-30 mins 
    • Discussion

Additional Resources

 

Microsoft Learn - https://docs.microsoft.com/en-us/learn/

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