research
∙
12/08/2022
Denoising Self-attentive Sequential Recommendation
Transformer-based sequential recommenders are very powerful for capturin...
share
research
∙
12/02/2022
SMARTQUERY: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction
Graph neural networks have achieved significant success in representatio...
research
∙
01/13/2022
Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection
Today's cyber-world is vastly multivariate. Metrics collected at extreme...
research
∙
08/15/2021
Event2Graph: Event-driven Bipartite Graph for Multivariate Time-series Anomaly Detection
Modeling inter-dependencies between time-series is the key to achieve hi...
research
∙
05/13/2020
Fashion Recommendation and Compatibility Prediction Using Relational Network
Fashion is an inherently visual concept and computer vision and artifici...
research
∙
07/16/2019