12 citations · 18 across the 12 of their papers we have counts for
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cs.LG2021
Probabilistic Contrastive Loss for Self-Supervised Learning
Shen Li, Jianqing Xu, Bryan Hooi
This paper proposes a probabilistic contrastive loss function for self-supervised learning. The well-known contrastive loss is deterministic and involves a temperature hyperparamet…
cs.LG2021★ 12 cited
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
Ailin Deng, Bryan Hooi
Given high-dimensional time series data (e.g., sensor data), how can we detect anomalous events, such as system faults and attacks? More challengingly, how can we do this in a way…