133 citations · 137 across the 3 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2024
LogiCode: an LLM-Driven Framework for Logical Anomaly Detection
Yiheng Zhang, Yunkang Cao, Xiaohao Xu +1
This paper presents LogiCode, a novel framework that leverages Large Language Models (LLMs) for identifying logical anomalies in industrial settings, moving beyond traditional focu…
cs.LG2023★ 4 cited
SCLIFD:Supervised Contrastive Knowledge Distillation for Incremental Fault Diagnosis under Limited Fault Data
Peng Peng, Hanrong Zhang, Mengxuan Li +3
Intelligent fault diagnosis has made extraordinary advancements currently. Nonetheless, few works tackle class-incremental learning for fault diagnosis under limited fault data, i.…
cs.LG2022
FastATDC: Fast Anomalous Trajectory Detection and Classification
Tianle Ni, Jingwei Wang, Yunlong Ma +3
Automated detection of anomalous trajectories is an important problem with considerable applications in intelligent transportation systems. Many existing studies have focused on di…