Networked time series imputation via position-aware graph enhanced variational autoencoders
Multivariate time series (MTS) imputation is a widely studied problem in recent years.
Existing methods can be divided into two main groups, including (1) deep recurrent or …
Existing methods can be divided into two main groups, including (1) deep recurrent or …
Augmenting Unsupervised Reinforcement Learning with Self-Reference
Humans possess the ability to draw on past experiences explicitly when learning new tasks
and applying them accordingly. We believe this capacity for self-referencing is especially …
and applying them accordingly. We believe this capacity for self-referencing is especially …
Heterogeneous Contrastive Learning for Foundation Models and Beyond
In the era of big data and Artificial Intelligence, an emerging paradigm is to utilize contrastive
self-supervised learning to model large-scale heterogeneous data. Many existing foundation …
self-supervised learning to model large-scale heterogeneous data. Many existing foundation …
AFRF: Angle Feature Retrieval Based Popularity Forecasting
H Wang, Z Xie, M Liu, C Guan - Proceedings of the 32nd ACM …, 2023 - dl.acm.org
Social media popularity forecasting has become a hot research topic in recent years. It is of
great significance in assisting public opinion monitoring and advertising placement. Time …
great significance in assisting public opinion monitoring and advertising placement. Time …