Hacker News
- The Building Blocks of Interpretability (2018) https://distill.pub/2018/building-blocks/ 0 comments
- Communicating with Interactive Articles https://distill.pub/2020/communicating-with-interactive-articles/ 13 comments
- Zoom In: An Introduction to Circuits (2020) https://distill.pub/2020/circuits/zoom-in/ 2 comments
- Growing Neural Cellular Automata (2020) https://distill.pub/2020/growing-ca/ 5 comments
- A Gentle Introduction to Graph Neural Networks https://distill.pub/2021/gnn-intro/ 7 comments
- Distill Hiatus https://distill.pub/2021/distill-hiatus/ 12 comments
- Adversarial Reprogramming of Neural Cellular Automata https://distill.pub/selforg/2021/adversarial 5 comments
- Branch Specialization https://distill.pub/2020/circuits/branch-specialization/ 5 comments
- Self-organising textures from cellular automata https://distill.pub/selforg/2021/textures/ 59 comments
- High-Low Frequency Detectors https://distill.pub/2020/circuits/frequency-edges/ 4 comments
- Communicating with Interactive Articles https://distill.pub/2020/communicating-with-interactive-articles/ 2 comments
- Self-Classifying MNIST Digits Using Neural Cellular Automata https://distill.pub/2020/selforg/mnist/ 24 comments
- Curve Detecting Neurons https://distill.pub/2020/circuits/curve-detectors/ 6 comments
- Exploring Bayesian Optimization https://distill.pub/2020/bayesian-optimization/ 12 comments
- Zoom In: Speculative claims about neural circuits https://distill.pub/2020/circuits/zoom-in/ 4 comments
- Growing Neural Cellular Automata: A Differentiable Model of Morphogenesis https://distill.pub/2020/growing-ca/?%2F= 46 comments
- Open Questions about Generative Adversarial Networks https://distill.pub/2019/gan-open-problems/ 51 comments
- A Visual Exploration of Gaussian Processes https://distill.pub/2019/visual-exploration-gaussian-processes/ 6 comments
- Differentiable Image Parameterizations https://distill.pub/2018/differentiable-parameterizations 2 comments
- Using Artificial Intelligence to Augment Human Intelligence https://distill.pub/2017/aia/ 30 comments
- Feature Visualization: How neural nets build up their understanding of images https://distill.pub/2017/feature-visualization/ 63 comments
- Research Debt http://distill.pub/2017/research-debt/ 136 comments
- Distill: a modern machine learning journal http://distill.pub/about/ 105 comments
- Experiments in Handwriting with a Neural Network http://distill.pub/2016/handwriting/ 15 comments
- Deconvolution and Checkerboard Artifacts http://distill.pub/2016/deconv-checkerboard/ 2 comments
- How to Use t-SNE Effectively http://distill.pub/2016/misread-tsne/ 15 comments
- Attention and Augmented Recurrent Neural Networks http://distill.pub/2016/augmented-rnns/ 5 comments
Lobsters
- Self-Organising Textures https://distill.pub/selforg/2021/textures 2 comments ai , compsci , visualization
- Research Debt http://distill.pub/2017/research-debt 6 comments philosophy , science
- Breakthrough Papers in ML That Everyone in the Field Should Read https://distill.pub/2020/selforg/ 2 comments learnmachinelearning
- [E] I'd like to learn how to make high-quality interactive visualizations to explain statistical topics. (See example in post) https://distill.pub/2019/visual-exploration-gaussian-processes/ 4 comments statistics
- Request: How are these visualisations made? ttps://distill.pub/2017/momentum/ https://distill.pub/2017/momentum/ 4 comments webdev
- "The Paths Perspective on Value Learning: A closer look at how Temporal Difference learning merges paths of experience for greater statistical efficiency", Greydanus & Olah 2019 {GB/OA} [Distill.pub] https://distill.pub/2019/paths-perspective-on-value-learning/ 9 comments reinforcementlearning
- Feature Visualization: How neural networks build up their understanding of images https://distill.pub/2017/feature-visualization/ 4 comments learnmachinelearning
- What are your favorite places the harmonic oscillator shows up? https://distill.pub/2017/momentum/ 6 comments math
- Research Debt https://distill.pub/2017/research-debt/ 10 comments math
- Using Artificial Intelligence to Augment Human Intelligence https://distill.pub/2017/aia/ 4 comments artificial
- Feature Visualization: How neural networks build up their understanding of images https://distill.pub/2017/feature-visualization/ 10 comments programming
- Why Momentum Really Works http://distill.pub/2017/momentum/ 3 comments compsci
- Reducing Checkerboard Artifacts in Deconvolutional Generative Neural Networks http://distill.pub/2016/deconv-checkerboard/ 3 comments programming
Linking pages
- Google Brain Residency http://tinyclouds.org/residency/ 55 comments
- Interpretability in Machine Learning: An Overview https://thegradient.pub/interpretability-in-ml-a-broad-overview/ 47 comments
- GitHub - terryum/awesome-deep-learning-papers: The most cited deep learning papers https://github.com/terryum/awesome-deep-learning-papers 47 comments
- GitHub - rushter/data-science-blogs: A curated list of data science blogs https://github.com/rushter/data-science-blogs 26 comments
- GitHub - astorfi/Deep-Learning-Roadmap: Organized Resources for Deep Learning Researchers and Developers https://github.com/astorfi/Deep-Learning-World 22 comments
- ML Resources https://sgfin.github.io/learning-resources/ 21 comments
- The Hitchhiker’s Guide to d3.js. The landscape for learning d3 is rich… | by Ian Johnson | Medium https://medium.com/@enjalot/the-hitchhikers-guide-to-d3-js-a8552174733a 18 comments
- Hypernetworks | 大トロ http://blog.otoro.net/2016/09/28/hyper-networks/ 17 comments
- 100+ Best Machine Learning Blogs For Beginners https://www.theinsaneapp.com/2021/04/top-machine-learning-blogs-to-follow-in-2021.html 13 comments
- Increasing the Impact of PL Research | SIGPLAN Blog https://blog.sigplan.org/2020/07/29/increasing-the-impact-of-pl-research/ 9 comments
- The Google Brain Team — Looking Back on 2017 (Part 1 of 2) – Google AI Blog https://research.googleblog.com/2018/01/the-google-brain-team-looking-back-on.html 6 comments
- A roadmap to the mind - by Erich Lehmann - Building HER https://buildingher.substack.com/p/a-roadmap-to-the-mind 5 comments
- Learning Deep Learning with Keras http://p.migdal.pl/2017/04/30/teaching-deep-learning.html 5 comments
- Citations https://jnboehm.com/thought/citations.html 3 comments
- GitHub - visenger/awesome-mlops: A curated list of references for MLOps https://github.com/visenger/awesome-mlops 2 comments
- GitHub - BAILOOL/DoYouEvenLearn: Essential Guide to keep up with AI/ML/DL/CV https://github.com/BAILOOL/DoYouEvenLearn 2 comments
- Longreads Best of 2017: Science, Technology, and Business Writing - Longreads https://longreads.com/2017/12/27/longreads-best-of-2017-science-technology-and-business-writing/ 1 comment
- Making PL Ideas Accessible: An Open-Source, Open-Access, Interactive Journal | SIGPLAN Blog https://blog.sigplan.org/2021/04/13/making-pl-ideas-accessible-an-open-source-open-access-interactive-journal/ 1 comment
- Becoming an Independent Researcher and getting published in ICLR with spotlight | by Andreas Madsen | Medium https://andreas-madsen.medium.com/becoming-an-independent-researcher-and-getting-published-in-iclr-with-spotlight-c93ef0b39b8b 1 comment
- GitHub - jphall663/awesome-machine-learning-interpretability: A curated list of awesome machine learning interpretability resources. https://github.com/jphall663/awesome-machine-learning-interpretability 0 comments