ML Resources

GitHub Repo with various ML/AI/DS resources that I find useful. I'll populate it with links to articles, libraries, and other resources that I come across.

Tabular Data ML

General

Tabular Data: Deep Learning is Not All You Need: https://arxiv.org/abs/2106.03253

NNs for Tabular Data

pytorch-widedeep, deep learning for tabular data IV: Deep Learning vs LightGBM. A thorough comparison between DL algorithms and LightGBM for tabular data for classification and regression problems: https://jrzaurin.github.io/infinitoml/2021/05/28/pytorch-widedeep_iv.html
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training: https://github.com/somepago/saint (repo)
SAINT paper: https://arxiv.org/abs/2106.01342

Boosting

NNs vs Kernel Methods

The quest for adaptivity: exploring

Autoencoders

RecoTour III: Variational Autoencoders for Collaborative Filtering with Mxnet and Pytorch: https://jrzaurin.github.io/infinitoml/2020/05/15/mult-vae.html

Auto ML

Automated Machine Learning: Methods, Systems, Challenges. Probably the single best monograph on AutoML. Published in 2019, so not quite the cutting edge, but still very useful. https://www.amazon.com/Automated-Machine-Learning-Challenges-Springer-ebook/dp/B07S3MLGFW/

Computer Vision

Scaling Vision Transformers: ‘As a result, we successfully train a ViT model with two billion parameters, which attains a new state-of-the-art on ImageNet of 90.45% top-1 accuracy. The model also performs well on few-shot learning, for example, attaining 84.86% top-1 accuracy on ImageNet with only 10 examples per class.’ https://arxiv.org/abs/2106.04560

Social Media Analysis

Birds of the Same Feather Tweet Together. Bayesian Ideal Point Estimation Using Twitter Data. Analysis of homophily of Politicians on Twitter. http://pablobarbera.com/static/barbera_twitter_ideal_points.pdf
Leadership Communication and Power: Measuring Leadership in the U.S. House of Representatives from Social Media Data: https://preprints.apsanet.org/engage/apsa/article-details/60c239b28214c646e0a61589

Policy

Final Report: National Security Commission on Artificial Intelligence https://www.nscai.gov/wp-content/uploads/2021/03/Full-Report-Digital-1.pdf