In this article, I present a total of 84 papers and articles published in 2020 that I found particularly interesting. For the sake of clarity, I divide them into 12 sections. My personal summary for 2020 is as follows.

— — — — — My personal summary for 2020 — — — — —

In 2020, Transformer model made a huge leap forward. In natural language processing, GPT-3, a large scale Transformer model, has achieved high accuracy in many tasks. Using a large amount of data and a large number of parameters, it has surpassed Big Transfer, which had the highest accuracy in image classification.
Fractal image datasets that are free of discriminatory elements and…


Week 13 , 2021 (28 March ~ )

※The date of publication of the paper or article is not necessarily the same week

Featured Paper/News in This Week.


Week 12 , 2021

※The date of publication of the paper or article is not necessarily the same week

Featured Paper/News in This Week.


※ The date of publication of the paper or article is not necessarily the same week.

Featured Paper/News in This Week.


Featured Paper/News in This Week.


Featured Paper/News in February 2020.


Week 9( February 22 ~ ), 2021

Featured Paper/News in This Week.


Here are some of the papers and articles that I found particularly interesting I read in week 8 of 2021 (14 February~). I’ve tried to introduce the most recent ones as much as possible, but the date of the paper submission may not be the same as the week.

Topics

  1. Machine Learning Papers
  2. Technical Articles
  3. Examples of Machine Learning use case
  4. Other Topics

— Weekly Editor’s pickup

1. Machine Learning Papers

GANs to generate GUI

[2101.09978] GUIGAN: Learning to Generate GUI Designs Using Generative Adversarial Networks
A GAN that generates the GUI of a smartphone…


Here are some of the papers and articles that I found particularly interesting I read in week 7 of 2021 (7 February ~). I’ve tried to introduce the most recent ones as much as possible, but the date of the paper submission may not be the same as the week.

Topics

  1. Machine Learning Papers
  2. Technical Articles
  3. Examples of Machine Learning use case
  4. Other Topics

— Weekly Editor’s pickup

1. Machine Learning Papers

A Practical Approach to Network Sparsification

[2102.00554] Sparsity in Deep Learning: Pruning and growth for efficient…


Here are some of the papers and articles that I found particularly interesting I read in week 6 of 2021 (31 January ~). I’ve tried to introduce the most recent ones as much as possible, but the date of the paper submission may not be the same as the week.

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Topics

  1. Machine Learning Papers
  2. Technical Articles
  3. Examples of Machine Learning use case
  4. Other Topics

— Weekly Editor’s pickup

— — — — — —…

Akihiro FUJII

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