Semi-Supervised Clustering with Contrastive Learning for Discovering New Intents

no code implementations • 7 Jan 2022 • Feng Wei, Zhenbo Chen, Zhenghong Hao, Fengxin Yang, Hua Wei, Bing Han, Sheng Guo

To make DCSC fully utilize the limited known intents, we propose a two-stage training procedure for DCSC, in which DCSC will be trained on both labeled samples and unlabeled samples, and achieve better text representation and clustering performance.

Clustering Contrastive Learning +1

NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection

no code implementations • 8 Jan 2021 • Liang Xu, Liying Zheng, Weijun Li, Zhenbo Chen, Weishun Song, Yue Deng, Yongzhe Chang, Jing Xiao, Bo Yuan

In recent studies, Lots of work has been done to solve time series anomaly detection by applying Variational Auto-Encoders (VAEs).

Anomaly Detection Time Series +1