Distill
An interactive, visual journal for Machine Learning research
Distill launched on March 20, 2017 with 200 votes, #148 of 3,481 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 9 years on.
What it does
Articles about Machine Learning
Understanding the building blocks and design choices of graph neural networks. Benjamin Sanchez-Lengeling, Emily Reif, Adam Pearce, and Alexander B. Wiltschko What components are needed for building learning algorithms that leverage the structure and properties of graphs? We report the existence of multimodal neurons in artificial neural networks, similar to those found in the human brain. With diverse environments, we can analyze, diagnose and edit deep reinforcement learning models using attribution. Examining the design of interactive articles by synthesizing theory from disciplines such as education, journalism, and visualization. A collection of articles and comments with the goal of…from distill.pub
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