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Tackling Continual Learning: Our Journey in the CVPR 2021 Challenge
Projects ·In the rapidly evolving field of AI, one of the biggest hurdles is teaching machines to learn sequentially, like humans do, without forgetting previously acquired knowledge. This is the core challenge of Continual Learning (CL). In 2021, we participated in the...
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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...