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Found 5 papers, 3 papers with code
Improving Sequential Recommendation Models with an Enhanced Loss Function
We conduct extensive experiments on two influential open-source libraries, and the results demonstrate that our improved loss function significantly enhances the performance of GRU4Rec, SASRec, SR-GNN, and S3Rec models, improving their benchmarks significantly.
CPS Attack Detection under Limited Local Information in Cyber Security: A Multi-node Multi-class Classification Ensemble Approach
In order to train a global multi-class classifier without sharing the raw data across all nodes, the main result of our study is designing a multi-node multi-class classification ensemble approach.
Traffic4D: Single View Reconstruction of Repetitious Activity Using Longitudinal Self-Supervision
Reconstructing 4D vehicular activity (3D space and time) from cameras is useful for autonomous vehicles, commuters and local authorities to plan for smarter and safer cities.
Learning from Unlabelled Videos Using Contrastive Predictive Neural 3D Mapping
Predictive coding theories suggest that the brain learns by predicting observations at various levels of abstraction.
PoTrojan: powerful neural-level trojan designs in deep learning models
With the popularity of deep learning (DL), artificial intelligence (AI) has been applied in many areas of human life.
