3 accepted papers
Knowledge tracing aims to predict students’ probability of correctly answering the next question based on their interaction history. Previous methods employ left-to-right unidirectional transformers to encode the historical behaviors into hidden representations, especially with contrastive learning…
Explainable recommender system has recently drawn increasing attention due to its capability of providing justification to recommendation. Rather than focusing on certain topics or specific item features, the explanation generated by existing works are too general without the guidance of aspects. Ho…
With the increasing global popularity of self-driving cars, there is an immediate need for challenging real-world datasets for benchmarking and training various computer vision tasks such as 3D object detection. Existing datasets either represent simple scenarios or provide only day-time data. In th…