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Distill
Distill publishes peer-reviewed articles about machine learning, including research and visual explanations.
About Distill
Distill is a website that publishes articles about machine learning. Its homepage labels entries as peer-reviewed, commentary, thread, or editorial. The articles include research papers and visual explanations of machine learning concepts and models.
The homepage lists articles dated from 2018 to 2021, covering topics such as graph neural networks, Bayesian optimization, Gaussian processes, and generative adversarial networks. A July 2, 2021 editorial announced that Distill would take a break after five years. The excerpt does not say when publication will resume.
Key features
- Peer-reviewed articles on machine learning research topics
- Visual and interactive explanations of neural network behavior
- Commentary pieces on open questions in machine learning
- Threads collecting articles and community comments on a shared topic
- Some articles include open-source code for their analyses
- Editorial updates from the Distill editorial team
Best for: Readers who want peer-reviewed or visual explanations of machine learning research, especially those interested in how neural networks work.
Good for
- Articles are labeled by type, including peer-reviewed and commentary
- Uses visual and interactive explanations of machine learning concepts
- Some articles include open-source code for their analyses
Watch out for
- A July 2021 editorial announced that the site would take a break
- The excerpt does not say when new publication will resume
Distill at a glance
- Website
- distill.pub
- Category
- AI & Machine Learning › AI Learning & Guides
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Distill FAQ
Is Distill still publishing new articles?
A July 2, 2021 editorial announced that Distill would take a break after five years. The homepage excerpt does not say when publication will resume.
What do the article labels on the homepage mean?
The homepage labels articles as Peer-reviewed, Commentary, Thread, or Editorial. The excerpt does not define each label in detail.
Do the articles include code?
Some articles include code. For example, the article on computing receptive fields of convolutional neural networks includes detailed derivations and open-source code.
Is something wrong or out of date?
Tell us and an editor will check it.
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