A GAN-plus-reinforcement-learning detector learns to remove suspicious events from continuous-time sequences without clean data, beating the PPOD baseline on synthetic and real benchmarks.
Generative adversarial nets
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Unsupervised Event Outlier Detection in Continuous Time
A GAN-plus-reinforcement-learning detector learns to remove suspicious events from continuous-time sequences without clean data, beating the PPOD baseline on synthetic and real benchmarks.