ML Anthology

Distill 2020

13 papers

An Overview of Early Vision in InceptionV1 Chris Olah, Nick Cammarata, Ludwig Schubert, Gabriel Goh, Michael Petrov, Shan Carter
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Communicating with Interactive Articles Fred Hohman, Matthew Conlen, Jeffrey Heer, Duen Horng Chau
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Curve Detectors Nick Cammarata, Gabriel Goh, Shan Carter, Ludwig Schubert, Michael Petrov, Chris Olah
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Exploring Bayesian Optimization Apoorv Agnihotri, Nipun Batra
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Growing Neural Cellular Automata Alexander Mordvintsev, Ettore Randazzo, Eyvind Niklasson, Michael Levin
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Naturally Occurring Equivariance in Neural Networks Chris Olah, Nick Cammarata, Chelsea Voss, Ludwig Schubert, Gabriel Goh
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Self-Classifying MNIST Digits Ettore Randazzo, Alexander Mordvintsev, Eyvind Niklasson, Michael Levin, Sam Greydanus
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Thread: Circuits Nick Cammarata, Shan Carter, Gabriel Goh, Chris Olah, Michael Petrov, Ludwig Schubert, Chelsea Voss, Ben Egan, Swee Kiat Lim
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Thread: Differentiable Self-Organizing Systems Alexander Mordvintsev, Ettore Randazzo, Eyvind Niklasson, Michael Levin, Sam Greydanus
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Understanding RL Vision Jacob Hilton, Nick Cammarata, Shan Carter, Gabriel Goh, Chris Olah
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Visualizing Neural Networks with the Grand Tour Mingwei Li, Zhenge Zhao, Carlos Scheidegger
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Visualizing the Impact of Feature Attribution Baselines Pascal Sturmfels, Scott Lundberg, Su-In Lee
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Zoom in: An Introduction to Circuits Chris Olah, Nick Cammarata, Ludwig Schubert, Gabriel Goh, Michael Petrov, Shan Carter
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