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1806.04808
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Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection
13 June 2018
Guansong Pang
LongBing Cao
Ling-Hao Chen
Huan Liu
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Papers citing
"Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection"
50 / 81 papers shown
CEDL: Centre-Enhanced Discriminative Learning for Anomaly Detection
Zahra Zamanzadeh Darban
Qizhou Wang
Charu C. Aggarwal
Geoffrey I. Webb
Ehsan Abbasnejad
Mahsa Salehi
69
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0
15 Nov 2025
RFOD: Random Forest-based Outlier Detection for Tabular Data
Yihao Ang
Peicheng Yao
Yifan Bao
Yushuo Feng
Qiang Huang
A. Tung
Zhiyong Huang
79
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0
09 Oct 2025
ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection
Sanghyu Yoon
Dongmin Kim
Suhee Yoon
Ye Seul Sim
Seungdong Yoa
Hye-Seung Cho
Soonyoung Lee
Hankook Lee
Woohyung Lim
159
0
0
02 Oct 2025
A more efficient method for large-sample model-free feature screening via multi-armed bandits
Xiaxue Ouyang
Xinlai Kang
Mengyu Li
Zhenxing Dou
Jun Yu
Cheng Meng
134
0
0
19 Sep 2025
Handling Out-of-Distribution Data: A Survey
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025
L. Tamang
Mohamed Reda Bouadjenek
Richard Dazeley
S. Aryal
OOD
OODD
282
4
0
25 Jul 2025
A New Spatiotemporal Correlation Anomaly Detection Method that Integrates Contrastive Learning and Few-Shot Learning in Wireless Sensor Networks
Miao Ye
Suxiao Wang
Jiaguang Han
Yong Wang
Xiaoli Wang
Jingxuan Wei
Peng Wen
Jing Cui
172
0
0
31 May 2025
Anomalies by Synthesis: Anomaly Detection using Generative Diffusion Models for Off-Road Navigation
IEEE International Conference on Robotics and Automation (ICRA), 2025
Siddharth Ancha
Sunshine Jiang
Travis Manderson
Laura Brandt
Yilun Du
Philip R. Osteen
Nicholas Roy
447
2
0
28 May 2025
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models
International Conference on Learning Representations (ICLR), 2025
Nguyen H K. Do
Truc Nguyen
Malik Hassanaly
Raed Alharbi
Jung Taek Seo
My T. Thai
272
2
0
09 Mar 2025
scGSDR: Harnessing Gene Semantics for Single-Cell Pharmacological Profiling
Yu-An Huang
Xiyue Cao
Zhu-Hong You
Yue-Chao Li
Xuequn Shang
Zhi-An Huang
121
1
0
02 Feb 2025
CyberSentinel: Efficient Anomaly Detection in Programmable Switch using Knowledge Distillation
Sankalp Mittal
242
0
0
21 Dec 2024
Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection
Jiawen Zhu
Yew-Soon Ong
Chunhua Shen
Guansong Pang
279
10
0
14 Oct 2024
Flexible categorization using formal concept analysis and Dempster-Shafer theory
International Journal of Approximate Reasoning (IJAR), 2024
Marcel Boersma
Krishna Manoorkar
A. Palmigiano
Mattia Panettiere
Apostolos Tzimoulis
Nachoem Wijnberg
218
0
0
23 Aug 2024
Class-aware and Augmentation-free Contrastive Learning from Label Proportion
Jialiang Wang
Ning Zhang
Hanmo Liu
Ruidong Wang
Lei Chen
152
0
0
13 Aug 2024
Bearing Fault Diagnosis using Graph Sampling and Aggregation Network
Jiaying Chen
Xusheng Du
Yurong Qian
Gwanggil Jeon
58
1
0
12 Aug 2024
Rethinking Unsupervised Outlier Detection via Multiple Thresholding
Zhonghang Liu
Panzhong Lu
Guoyang Xie
Zhichao Lu
Wen-Yan Lin
243
1
0
07 Jul 2024
Weakly-supervised anomaly detection for multimodal data distributions
Xu Tan
Junqi Chen
Sylwan Rahardja
Jiawei Yang
Susanto Rahardja
157
2
0
13 Jun 2024
Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts
Computer Vision and Pattern Recognition (CVPR), 2024
Jiawen Zhu
Guansong Pang
VLM
417
83
0
11 Mar 2024
COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection
Jingyi Liao
Xun Xu
Manh Cuong Nguyen
A. Goodge
Chuan-Sheng Foo
239
23
0
29 Feb 2024
Weakly Supervised Anomaly Detection via Knowledge-Data Alignment
The Web Conference (WWW), 2024
Haihong Zhao
Chenyi Zi
Yang Liu
Chen Zhang
Yan Zhou
Jia Li
238
16
0
06 Feb 2024
Outlier detection using flexible categorisation and interrogative agendas
Marcel Boersma
Krishna Manoorkar
A. Palmigiano
Mattia Panettiere
Apostolos Tzimoulis
Nachoem Wijnberg
214
4
0
19 Dec 2023
Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection
Jiawen Zhu
Choubo Ding
Yu Tian
Guansong Pang
433
35
0
19 Oct 2023
A Lightweight Video Anomaly Detection Model with Weak Supervision and Adaptive Instance Selection
Yang Wang
Jiaogen Zhou
Jihong Guan
308
15
0
09 Oct 2023
ADGym: Design Choices for Deep Anomaly Detection
Neural Information Processing Systems (NeurIPS), 2023
Minqi Jiang
Chaochuan Hou
Ao Zheng
Songqiao Han
Hailiang Huang
Qingsong Wen
Xiyang Hu
Yue Zhao
356
26
0
27 Sep 2023
Robust Fraud Detection via Supervised Contrastive Learning
BigData Congress [Services Society] (BSS), 2023
M.S Vinay
Shuhan Yuan
Xintao Wu
AAML
164
1
0
19 Aug 2023
CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection
Pattern Recognition (Pattern Recogn.), 2023
Zahra Zamanzadeh Darban
Geoffrey I. Webb
Shirui Pan
Charu C. Aggarwal
Mahsa Salehi
AI4TS
246
62
0
18 Aug 2023
ImbSAM: A Closer Look at Sharpness-Aware Minimization in Class-Imbalanced Recognition
IEEE International Conference on Computer Vision (ICCV), 2023
Yixuan Zhou
Yi Qu
Xing Xu
Hengtao Shen
142
29
0
15 Aug 2023
RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous Supervision
Information Processing & Management (IPM), 2023
Hongzuo Xu
Yijie Wang
Guansong Pang
Songlei Jian
Ninghui Liu
Yongjun Wang
175
40
0
25 Jul 2023
Multi-representations Space Separation based Graph-level Anomaly-aware Detection
International Conference on Statistical and Scientific Database Management (SSDBM), 2023
Fu Lin
Haonan Gong
Mingkang Li
Zitong Wang
Yue Zhang
Xuexiong Luo
132
3
0
22 Jul 2023
Anomaly Detection with Score Distribution Discrimination
Knowledge Discovery and Data Mining (KDD), 2023
Minqi Jiang
Songqiao Han
Hailiang Huang
301
17
0
26 Jun 2023
OptIForest: Optimal Isolation Forest for Anomaly Detection
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Haolong Xiang
Xuyun Zhang
Hongsheng Hu
Lianyong Qi
Wanchun Dou
Mark Dras
Amin Beheshti
Xiaolong Xu
180
29
0
22 Jun 2023
SaliencyCut: Augmenting Plausible Anomalies for Anomaly Detection
Pattern Recognition (Pattern Recogn.), 2023
Jianan Ye
Yijie Hu
Xi Yang
Qiufeng Wang
Chao Huang
Kaizhu Huang
239
7
0
14 Jun 2023
UADB: Unsupervised Anomaly Detection Booster
IEEE International Conference on Data Engineering (ICDE), 2023
Hangting Ye
Zhining Liu
Xinyi Shen
Wei Cao
Shun Zheng
Xiaofan Gui
Huishuai Zhang
Yi Chang
Jiang Bian
199
7
0
03 Jun 2023
AnoOnly: Semi-Supervised Anomaly Detection with the Only Loss on Anomalies
Expert systems with applications (ESWA), 2023
Yixuan Zhou
Peiyu Yang
Yi Qu
Xing Xu
Zhe Sun
Andrzej Cichocki
149
8
0
30 May 2023
AnoRand: A Semi Supervised Deep Learning Anomaly Detection Method by Random Labeling
M. Z. A. Mayaki
M. Riveill
93
1
0
28 May 2023
Unsupervised Anomaly Detection with Rejection
Neural Information Processing Systems (NeurIPS), 2023
Lorenzo Perini
Jesse Davis
223
10
0
22 May 2023
Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption
VISIGRAPP (VISIGRAPP), 2023
Jack W. Barker
Neelanjan Bhowmik
Yona Falinie A. Gaus
T. Breckon
120
5
0
02 Mar 2023
DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series Data
Knowledge-Based Systems (KBS), 2023
Ling Yu
AI4TS
246
63
0
17 Feb 2023
Application Of ADNN For Background Subtraction In Smart Surveillance System
Piyush Batra
Gagandeep Singh
N. Goyal
148
0
0
31 Dec 2022
LOSDD: Leave-Out Support Vector Data Description for Outlier Detection
Daniel Boiar
Thomas Liebig
Erich Schubert
83
0
0
27 Dec 2022
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment
AAAI Conference on Artificial Intelligence (AAAI), 2022
Qizhou Wang
Guansong Pang
Mahsa Salehi
Wray Buntine
C. Leckie
166
40
0
02 Dec 2022
Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback
Industrial Conference on Data Mining (IDM), 2022
Gopikrishna Rathinavel
Nikhil Muralidhar
Tim O'Shea
Naren Ramakrishnan
AAML
139
2
0
01 Oct 2022
Self-Supervised Texture Image Anomaly Detection By Fusing Normalizing Flow and Dictionary Learning
International journal of pattern recognition and artificial intelligence (IJPRAI), 2022
Yaohua Guo
Lijuan Song
Zirui Ma
222
0
0
15 Sep 2022
Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Hongzuo Xu
Yijie Wang
Songlei Jian
Qing Liao
Yongjun Wang
Guansong Pang
AI4TS
211
102
0
25 Jul 2022
A geometric framework for outlier detection in high-dimensional data
Moritz Herrmann
Florian Pfisterer
Fabian Scheipl
193
5
0
01 Jul 2022
R2-AD2: Detecting Anomalies by Analysing the Raw Gradient
Jan-Philipp Schulze
Philip Sperl
Ana Ruaductoiu
Carla Sagebiel
Konstantin Böttinger
145
2
0
21 Jun 2022
ADBench: Anomaly Detection Benchmark
Neural Information Processing Systems (NeurIPS), 2022
Songqiao Han
Xiyang Hu
Hailiang Huang
Mingqi Jiang
Yue Zhao
OOD
354
383
0
19 Jun 2022
Deep Isolation Forest for Anomaly Detection
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Hongzuo Xu
Guansong Pang
Yijie Wang
Yongjun Wang
352
372
0
14 Jun 2022
Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream
Knowledge Discovery and Data Mining (KDD), 2022
Susik Yoon
Youngjun Lee
Jae-Gil Lee
Byung Suk Lee
91
39
0
09 Jun 2022
Anomaly detection in surveillance videos using transformer based attention model
International Conference on Neural Information Processing (ICONIP), 2022
Kapil Deshpande
Narinder Singh Punn
S. K. Sonbhadra
Sonali Agarwal
ViT
AI4TS
225
20
0
03 Jun 2022
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection
Computer Vision and Pattern Recognition (CVPR), 2022
Choubo Ding
Guansong Pang
Chunhua Shen
OOD
279
164
0
28 Mar 2022
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