Large Language Model Guided Knowledge Distillation for Time Series
Anomaly Detection

Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection

26 January 2024

Papers citing "Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection"

9 / 9 papers shown

Title
Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation Chenxi Liu Hao Miao Qianxiong Xu Shaowen Zhou Cheng Long Yan Zhao Ziyue Li Rui Zhao AI4TS 31 1 0 04 May 2025
MADLLM: Multivariate Anomaly Detection via Pre-trained LLMs Wei Tao Xiaoyang Qu Kai Lu Jiguang Wan Guokuan Li Jianzong Wang 32 0 0 13 Apr 2025
Can LLMs Understand Time Series Anomalies? Zihao Zhou Rose Yu AI4TS 77 8 0 13 Mar 2025
KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Dong Chen Zhengqing Hu Peiguang Fan Yueting Zhuang Yafei Li Qidong Liu Xiaoheng Jiang Mingliang Xu VLM 46 0 0 14 Feb 2025
Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design Amna Murtada Omnia Abdelrhman Tahani Abdalla Attia 96 0 0 30 Jan 2025
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series Zahra Zamanzadeh Darban Yiyuan Yang Geoffrey I. Webb Charu C. Aggarwal Qingsong Wen Shirui Pan Mahsa Salehi 47 0 0 17 Apr 2024
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects Kexin Zhang Qingsong Wen Chaoli Zhang Rongyao Cai Ming Jin ... James Y. Zhang Y. Liang Guansong Pang Dongjin Song Shirui Pan AI4TS 109 97 0 16 Jun 2023
Towards a Rigorous Evaluation of Time-series Anomaly Detection Siwon Kim K. Choi Hyun-Soo Choi Byunghan Lee Sungroh Yoon AI4TS 75 144 0 11 Sep 2021
Neural Contextual Anomaly Detection for Time Series Chris U. Carmona Franccois-Xavier Aubet Valentin Flunkert Jan Gasthaus BDL AI4TS 54 62 0 16 Jul 2021