
Best Machine Learning Papers of 2020
January 02, 2021 | 12 min readLet's look back on the machine learning papers published in 2020! This post covers 10 representative papers that I found interesting and worth reading.
Under the sea, in the hippocampus's garden...
Let's look back on the machine learning papers published in 2020! This post covers 10 representative papers that I found interesting and worth reading.
Lightweight GAN has opened the way for generating fine images with ~100 training samples and affordable computing resources. This post presents "This Sushi Does Not Exist" and how I built it with GAE.
If you want to use a custom loss function with a modern GBDT model, you'll need the first- and second-order derivatives. This post shows how to implement them, using LightGBM as an example
How come ROC-AUC is equal to the probability of a positive sample ranked higher than negative ones? This post provides an answer with a fun example.
Transformer has undergone various application studies, model enhancements, etc. This post aims to provide an overview of these studies.
This post introduces how to sample groups from a dataset, which is helpful when you want to avoid data leakage.
なぜ結婚後の名字をマリオカートで決めることになったのか、また選択的夫婦別姓について書きます。