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Auto-weighting for Breast Cancer Classification in Multimodal Ultrasound
A novel multimodal network is proposed, along with promising learnability and simplicity to improve classification accuracy.
Dionysius: A Framework for Modeling Hierarchical User Interactions in Recommender Systems
We address the following problem: How do we incorporate user item interaction signals as part of the relevance model in a large-scale personalized recommendation system such that, (1) the ability to interpret the model and explain recommendations is retained, and (2) the existing infrastructure designed for the (user profile) content-based model can be leveraged?
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