{"total":20,"rows":[{"id":"2110.11334","title":"Generalized Out-of-Distribution Detection: A Survey","created":"2021-10-21","cited_by_count":802,"area":null},{"id":"2203.00259","title":"Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection","created":"2022-03-01","cited_by_count":80,"area":null},{"id":"2101.08387","title":"A Survey on Ensemble Learning under the Era of Deep Learning","created":"2021-01-21","cited_by_count":47,"area":null},{"id":"2205.06568","title":"Self-Supervised Masking for Unsupervised Anomaly Detection and Localization","created":"2022-05-13","cited_by_count":43,"area":null},{"id":"2305.12734","title":"EMEF: Ensemble Multi-Exposure Image Fusion","created":"2023-05-22","cited_by_count":10,"area":null},{"id":"2106.16020","title":"Anomaly Detection: How to Artificially Increase your F1-Score with a Biased Evaluation Protocol","created":"2021-06-30","cited_by_count":9,"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":"2109.03378","title":"Rethinking Multidimensional Discriminator Output for Generative Adversarial Networks","created":"2021-09-08","cited_by_count":1,"area":null},{"id":"2210.13917","title":"Connective Reconstruction-based Novelty Detection","created":"2022-10-25","cited_by_count":1,"area":null},{"id":"2211.13577","title":"Learning Invariant Rules from Data for Interpretable Anomaly Detection","created":"2022-11-24","cited_by_count":1,"area":null},{"id":"2507.10492","title":"BenchReAD: A systematic benchmark for retinal anomaly detection","created":"2025-07-14","cited_by_count":1,"area":null},{"id":"2512.06840","title":"CADE: Continual Weakly-supervised Video Anomaly Detection with Ensembles","created":"2025-12-07","cited_by_count":1,"area":null},{"id":"2210.02841","title":"Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback","created":"2022-10-01","cited_by_count":0,"area":null},{"id":"2303.06431","title":"Anomaly Detection with Ensemble of Encoder and Decoder","created":"2023-03-11","cited_by_count":0,"area":null},{"id":"2305.02899","title":"Additive Class Distinction Maps using Branched-GANs","created":"2023-05-04","cited_by_count":0,"area":null},{"id":"2312.10968","title":"PARs: Predicate-based Association Rules for Efficient and Accurate Model-Agnostic Anomaly Explanation","created":"2023-12-18","cited_by_count":0,"area":null},{"id":"2401.06970","title":"TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification","created":"2024-01-13","cited_by_count":0,"area":null},{"id":"2508.21438","title":"Quantum enhanced ensemble GANs for anomaly detection in continuous biomanufacturing","created":"2025-08-29","cited_by_count":0,"area":null},{"id":"2605.16567","title":"Automatic Unsupervised Ensemble Outlier Model Selection--Extended Version","created":"2026-05-15","cited_by_count":0,"area":null}],"next_cursor":null}