Models

Autoencoders

• 7 Applications of Auto-Encoders every Data Scientist should know
• Improve your Model Performance with Auto-Encoders

Ranking

• Learning to Rank: A Complete Guide to Ranking using Machine Learning

Deep Learning

• Do Wide and Deep Networks Learn the Same Things? Google AI Blog
• Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth - Arxiv
• Similarity of Neural Network Representations Revisited
• Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations

Regression

• An Overview of Model Selection Tests for Nested and Non-Nested Regression Models

Curriculum Learning

• A Survey on Curriculum Learning
• HeMIS: Hetero-Modal Image Segmentation

Bagging and Random Forest for Imbalanced Classification

Source: https://machinelearningmastery.com/bagging-and-random-forest-for-imbalanced-classification/

ML Algos from Scratch

• https://www.yuan-meng.com/posts/md_coding/
• https://github.com/eriklindernoren/ML-From-Scratch