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Autonomous Lane Following in Duckietown: Our DAgger Approach
Projects ·Ever wondered how miniature autonomous cars learn to navigate? At Duckietown, a platform designed for education and research in robotics, we tackled the challenge of lane following and vehicle avoidance using an advanced imitation learning technique. This project, which was also...
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Predicting Neural Network Accuracy from Weights
Paper Review ·In this paper (Unterthiner et al., 2020) showed empirically that we can predict the generalization gap of a neural network by only looking at its weights. In this work, they released a dataset of 120k convolutional neural networks trained...
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Predicting The Generalization Gap In Deep Networks With Margin Distributions
Paper Review ·In this paper (Jiang et al., 2018), they discuss a method that can predict the generalization gap from trained deep neural networks. The authors used marginal distribution information from input training set as a feature vector used by an...