Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning

Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning

16 September 2020

Daochen Zha

Papers citing "Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning"

9 / 9 papers shown

Title
GRAM: An Interpretable Approach for Graph Anomaly Detection using Gradient Attention Maps Yifei Yang Peng Wang Xiaofan He Dongmian Zou 14 5 0 10 Nov 2023
Active anomaly detection based on deep one-class classification Minkyung Kim Junsik Kim Jongmin Yu Jun Kyun Choi 21 14 0 18 Sep 2023
Interactive System-wise Anomaly Detection Guanchu Wang Ninghao Liu Daochen Zha Xia Hu AAML 11 1 0 21 Apr 2023
Deep Anomaly Detection under Labeling Budget Constraints Aodong Li Chen Qiu Marius Kloft Padhraic Smyth Stephan Mandt Maja R. Rudolph 21 13 0 15 Feb 2023
Data-centric AI: Perspectives and Challenges Daochen Zha Zaid Pervaiz Bhat Kwei-Herng Lai Fan Yang Xia Hu 17 67 0 12 Jan 2023
DreamShard: Generalizable Embedding Table Placement for Recommender Systems Daochen Zha Louis Feng Qiaoyu Tan Zirui Liu Kwei-Herng Lai Bhargav Bhushanam Yuandong Tian A. Kejariwal Xia Hu LMTD OffRL 15 28 0 05 Oct 2022
ADBench: Anomaly Detection Benchmark Songqiao Han Xiyang Hu Hailiang Huang Mingqi Jiang Yue Zhao OOD 27 295 0 19 Jun 2022
TODS: An Automated Time Series Outlier Detection System Kwei-Harng Lai Daochen Zha Guanchu Wang Junjie Xu Yue Zhao ... Yile Chen Purav Zumkhawaka Minyang Wan D. Martinez Xia Hu AI4TS 24 64 0 18 Sep 2020
Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data Guansong Pang A. Hengel Chunhua Shen LongBing Cao OffRL 14 85 0 15 Sep 2020