Interesting Reads 2020.12

Interesting Reads 2020.12

The following resources are based on the Mechanisms of Action (MoA) Prediction competition.

Preprocessing

Quantile Normalization YT video

Extracting and Composing Robust Features with Denoising Autoencoders

Validation

On the Stratification of Multi-label Data

Multi-Label Sampling based on Local Label Imbalance

Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning

When Does Label Smoothing Help?

Methods

Multi-label deep learning with scikit-multilearn

TabNet: Attentive Interpretable Tabular Learning

DeepInsight: A methodology to transform a non-image data to an image for convolution neural network architecture

Repos

dreamquark-ai/tabnet

trent-b/iterative-stratification


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