{"total":25,"rows":[{"id":"2209.01816","title":"ADTR: Anomaly Detection Transformer with Feature Reconstruction","created":"2022-09-05","cited_by_count":31,"area":null},{"id":"2206.04149","title":"A Survey of Graph-based Deep Learning for Anomaly Detection in Distributed Systems","created":"2022-06-08","cited_by_count":20,"area":null},{"id":"2112.02864","title":"Autoencoders for Semivisible Jet Detection","created":"2021-12-06","cited_by_count":9,"area":null},{"id":"2407.17545","title":"Large Language Models for Anomaly Detection in Computational Workflows: from Supervised Fine-Tuning to In-Context Learning","created":"2024-07-24","cited_by_count":6,"area":null},{"id":"2305.09147","title":"Self-Aware Trajectory Prediction for Safe Autonomous Driving","created":"2023-05-16","cited_by_count":5,"area":null},{"id":"2406.11703","title":"Unveiling Multiple Descents in Unsupervised Autoencoders","created":"2024-06-17","cited_by_count":5,"area":null},{"id":"2501.06591","title":"Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark","created":"2025-01-11","cited_by_count":5,"area":null},{"id":"2307.10869","title":"Identifying Performance Issues in Cloud Service Systems Based on Relational-Temporal Features","created":"2023-07-20","cited_by_count":4,"area":null},{"id":"2308.06663","title":"ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GAN","created":"2023-08-13","cited_by_count":4,"area":null},{"id":"2502.09194","title":"XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection","created":"2025-02-13","cited_by_count":4,"area":null},{"id":"2101.04645","title":"Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators","created":"2021-01-12","cited_by_count":3,"area":null},{"id":"2106.15504","title":"GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs","created":"2021-06-29","cited_by_count":2,"area":null},{"id":"2206.10259","title":"R2-AD2: Detecting Anomalies by Analysing the Raw Gradient","created":"2022-06-21","cited_by_count":2,"area":null},{"id":"2405.18929","title":"Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data","created":"2024-05-29","cited_by_count":2,"area":null},{"id":"2512.07082","title":"TRACE: A Generalizable Drift Detector for Streaming Data-Driven Optimization","created":"2025-12-08","cited_by_count":2,"area":null},{"id":"2111.08232","title":"Online Self-Evolving Anomaly Detection in Cloud Computing Environments","created":"2021-11-16","cited_by_count":1,"area":null},{"id":"2209.08376","title":"Unveil the unseen: Exploit information hidden in noise","created":"2022-09-17","cited_by_count":1,"area":null},{"id":"2410.12328","title":"Improved Anomaly Detection through Conditional Latent Space VAE Ensembles","created":"2024-10-16","cited_by_count":1,"area":null},{"id":"2103.10478","title":"Unsupervised Doppler Radar-Based Activity Recognition for e-Healthcare","created":"2021-03-18","cited_by_count":0,"area":null},{"id":"2110.01447","title":"Real-Time Predictive Maintenance using Autoencoder Reconstruction and Anomaly Detection","created":"2021-10-01","cited_by_count":0,"area":null},{"id":"2202.05093","title":"Two-Stage Deep Anomaly Detection with Heterogeneous Time Series Data","created":"2022-02-10","cited_by_count":0,"area":null},{"id":"2205.14676","title":"Diminishing Empirical Risk Minimization for Unsupervised Anomaly Detection","created":"2022-05-29","cited_by_count":0,"area":null},{"id":"2310.01247","title":"Self-supervised Learning for Anomaly Detection in Computational Workflows","created":"2023-10-02","cited_by_count":0,"area":null},{"id":"2401.06175","title":"MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection","created":"2024-01-10","cited_by_count":0,"area":null},{"id":"2506.18288","title":"Learning High-Quality Latent Representations for Anomaly Detection and Signal Integrity Enhancement in High-Speed Signals","created":"2025-06-23","cited_by_count":0,"area":null}],"next_cursor":null}