The 200 deep learning papers I read in 2019

#artificialintelligence 

Half a year ago, I wrote my first post on Medium about my journey of routine paper reading, as part of the fulfillment of my New Year's Resolution. At that time, I concluded that this daily activity of paper-reading is crucial to keep my mind active and abreast of the latest advancement in the field of deep learning. Now on the eve of the new year of 2020, I can proudly say that I executed my 2019 new year resolution of "reading at least one new paper per week" with flying colors. In the second half of the year, I read 116 papers and kept organized notes. If you are interested, the structured notes of these papers are listed in this following Github repo.

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