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Lane Attention: Predicting Vehicles' Moving Trajectories by Learning Their Attention over Lanes
The practicability and interpretability analysis of the model shows great potential for large-scale deployment in various autonomous driving systems in addition to our own.
Improving Dialogue Breakdown Detection with Semi-Supervised Learning
In ablations on DBDC4 data from 2019, our semi-supervised learning methods improve the performance of a baseline BERT model by 2\% accuracy.
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