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Exploring Bayesian Optimization
Exploring Bayesian Optimization

Many modern machine learning algorithms have a large number of hyperparameters. To effectively use these algorithms, we need to pick good hyperparameter values. In this article, we talk about Bayesian…

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Curve Detectors
Curve Detectors

This article is part of the Circuits thread, an experimental format collecting invited short articles and critical commentary delving into the inner workings of neural networks. An Overview of Early…

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Thread: Differentiable Self-organizing Systems
Thread: Differentiable Self-organizing Systems

Thread: Differentiable Self-organizing Systems How can we construct robust, general-purpose self-organising systems? Self-organisation is omnipresent on all scales of biological life. From complex interactions between molecules forming structures such as…

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Self-classifying MNIST Digits
Self-classifying MNIST Digits

Contents This article is part of the Differentiable Self-organizing Systems Thread, an experimental format collecting invited short articles delving into differentiable self-organizing systems, interspersed with critical commentary from several experts…

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Communicating with Interactive Articles
Communicating with Interactive Articles

Computing has changed how people communicate. The transmission of news, messages, and ideas is instant. Anyone’s voice can be heard. In fact, access to digital communication technologies such as the…

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Understanding RL Vision
Understanding RL Vision

Contents In this article, we apply interpretability techniques to a reinforcement learning (RL) model trained to play the video game CoinRun . Using attribution combined with dimensionality reduction as in…

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