In an effort to improve the performance of code search, we have investigated docid representation strategies, impact of tokenization on docid structure, and dataset sizes on overall code search performance.
Detecting security vulnerabilities in software before they are exploited has been a challenging problem for decades.
Compared to traditional camera-based computer vision and imaging, radio imaging based on wireless sensing does not require lighting and is friendly to privacy.
Deep imitation learning enables robots to learn from expert demonstrations to perform tasks such as lane following or obstacle avoidance.
This solution includes a suboptimal sensor policy based on sensor fusion to automatically label states encountered by a robot to avoid human supervision during training.