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Article
Predicting vehicle collisions using data collected from video games
Training a deep learning model for identifying dangerous vehicles requires a large amount of labeled accident data. However, it is difficult to collect a sufficient amount of accident data in the real world. T...
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Chapter and Conference Paper
Reprogramming GANs via Input Noise Design
The goal of neural reprogramming is to alter the functionality of a fixed neural network just by preprocessing the input. In this work, we show that Generative Adversarial Networks (GANs) can be reprogrammed b...