Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data

15 September 2020

Chunhua Shen

Papers citing "Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data"

36 / 36 papers shown

Title
Deep Graph Anomaly Detection: A Survey and New Perspectives Hezhe Qiao Hanghang Tong Bo An Irwin King Charu Aggarwal Guansong Pang 27 5 0 16 Sep 2024
PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection Ronghui Xu Hao Miao Senzhang Wang Philip S. Yu Jianxin Wang AI4TS 45 12 0 04 Jun 2024
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data Hiroshi Takahashi Tomoharu Iwata Atsutoshi Kumagai Yuuki Yamanaka 35 1 0 29 May 2024
ARC: A Generalist Graph Anomaly Detector with In-Context Learning Yixin Liu Shiyuan Li Yu Zheng Qingfeng Chen Chengqi Zhang Shirui Pan 35 10 0 27 May 2024
Semi-supervised Anomaly Detection via Adaptive Reinforcement Learning-Enabled Method with Causal Inference for Sensor Signals Xiangwei Chen Ruliang Xiao Zhixia Zeng Zhipeng Qiu Shi Zhang Xin Du 25 0 0 11 May 2024
E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series Zhichen Lai Huan Li Dalin Zhang Yan Zhao Weizhu Qian Christian S. Jensen AI4TS 27 9 0 21 Feb 2024
Generative Semi-supervised Graph Anomaly Detection Hezhe Qiao Qingsong Wen Xiaoli Li Ee-Peng Lim Guansong Pang 37 7 0 19 Feb 2024
Weakly Supervised Anomaly Detection via Knowledge-Data Alignment Haihong Zhao Chenyi Zi Yang Liu Chen Zhang Yan Zhou Jia Li 36 7 0 06 Feb 2024
Semi-supervised learning via DQN for log anomaly detection Yingying He Xiaobing Pei Lihong Shen 28 1 0 06 Jan 2024
Open-Set Graph Anomaly Detection via Normal Structure Regularisation Qizhou Wang Guansong Pang Mahsa Salehi Wray L. Buntine Christopher Leckie 31 3 0 12 Nov 2023
Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection Jiawen Zhu Choubo Ding Yu Tian Guansong Pang 37 12 0 19 Oct 2023
Tackling Diverse Minorities in Imbalanced Classification Kwei-Herng Lai Daochen Zha Huiyuan Chen M. Bendre Yuzhong Chen Mahashweta Das Hao Yang Xia Hu 12 0 0 28 Aug 2023
HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks Jiaxi Li Guansong Pang Ling-Hao Chen Mohammad-Reza Namazi-Rad 33 1 0 28 Aug 2023
Robust Fraud Detection via Supervised Contrastive Learning M.S Vinay Shuhan Yuan Xintao Wu AAML 23 1 0 19 Aug 2023
A Graph Encoder-Decoder Network for Unsupervised Anomaly Detection Mahsa Mesgaran A. Ben Hamza 24 3 0 15 Aug 2023
OptIForest: Optimal Isolation Forest for Anomaly Detection Haolong Xiang Xuyun Zhang Hongsheng Hu Lianyong Qi Wanchun Dou Mark Dras Amin Beheshti Xiaolong Xu 14 16 0 22 Jun 2023
Unsupervised Anomaly Detection via Nonlinear Manifold Learning Amin Yousefpour Mehdi Shishehbor Zahra Zanjani Foumani Ramin Bostanabad 16 8 0 15 Jun 2023
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection Hezhe Qiao Guansong Pang 19 24 0 29 May 2023
Deep Anomaly Detection under Labeling Budget Constraints Aodong Li Chen Qiu Marius Kloft Padhraic Smyth Stephan Mandt Maja R. Rudolph 24 13 0 15 Feb 2023
Weakly Supervised Anomaly Detection: A Survey Minqi Jiang Chaochuan Hou Ao Zheng Xiyang Hu Songqiao Han Hailiang Huang Xiangnan He Philip S. Yu Yue Zhao 16 30 0 09 Feb 2023
SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch Jinsung Yoon Kihyuk Sohn Chun-Liang Li Sercan Ö. Arik Tomas Pfister 19 7 0 30 Nov 2022
A deep learning approach for detection and localization of leaf anomalies David M. Calabro Massimiliano Lupo Pasini Nicola Ferro S. Perotto 11 0 0 07 Oct 2022
Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback Gopikrishna Rathinavel Nikhil Muralidhar Tim O'Shea Naren Ramakrishnan AAML 15 1 0 01 Oct 2022
Deep Anomaly Detection and Search via Reinforcement Learning Chao Chen Dawei Wang Feng Mao Zongzhang Zhang Yang Yu 6 0 0 31 Aug 2022
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection Gaoang Wang Yibing Zhan Xinchao Wang Min-Gyoo Song K. Nahrstedt 14 11 0 24 Jul 2022
Deep Isolation Forest for Anomaly Detection Hongzuo Xu Guansong Pang Yijie Wang Yongjun Wang 21 182 0 14 Jun 2022
Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs Bowen Tian Qinliang Su Jian Yin 10 18 0 28 Apr 2022
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection Choubo Ding Guansong Pang Chunhua Shen OOD 16 112 0 28 Mar 2022
Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection Yu Tian Guansong Pang Fengbei Liu Yuyuan Liu Chong Wang Yuanhong Chen Johan W. Verjans G. Carneiro ViT MedIm 19 25 0 23 Mar 2022
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions Zheng Li Yue Zhao Xiyang Hu N. Botta C. Ionescu George H. Chen 22 279 0 02 Jan 2022
Anomaly Detection in Blockchain Networks: A Comprehensive Survey Muneeb Ul Hassan M. H. Rehmani Jinjun Chen AI4TS 23 142 0 11 Dec 2021
A Survey on Deep Reinforcement Learning for Data Processing and Analytics Qingpeng Cai Can Cui Yiyuan Xiong Wei Wang Zhongle Xie Meihui Zhang OffRL 21 29 0 10 Aug 2021
Explainable Deep Few-shot Anomaly Detection with Deviation Networks Guansong Pang Choubo Ding Chunhua Shen A. Hengel 8 87 0 01 Aug 2021
Supervised Anomaly Detection via Conditional Generative Adversarial Network and Ensemble Active Learning Zhi Chen Jiang Duan Li Kang Guoping Qiu AI4CE 45 31 0 24 Apr 2021
Deep Weakly-supervised Anomaly Detection Guansong Pang Chunhua Shen Huidong Jin Anton van den Hengel 12 90 0 30 Oct 2019
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016