Anomaly Detection

Knowledge Graph Error Detection with Contrastive Confidence Adaption AAAI 2024 Monitoring of Perception Systems: Deterministic, Probabilistic, and Learning-Based Fault Detection and Identification (Abstract Reprint) AAAI 2024 Multi-Scale Dynamic Graph Learning for Time Series Anomaly Detection (Student Abstract) AAAI 2024 NAPGuard: Towards Detecting Naturalistic Adversarial Patches CVPR 2024 Navigating Open Set Scenarios for Skeleton-Based Action Recognition AAAI 2024 NLP for Digital Humanities: Processing Chronological Text Corpora EMNLP 2024 NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise NeurIPS 2024 One-Class Face Anti-spoofing via Spoof Cue Map-Guided Feature Learning CVPR 2024 Outlier Ranking for Large-Scale Public Health Data AAAI 2024 Out-of-Distribution Detection with a Single Unconditional Diffusion Model NeurIPS 2024 PyGOD: A Python Library for Graph Outlier Detection JMLR 2024 Quantile-Based Maximum Likelihood Training for Outlier Detection AAAI 2024 Reap the Wild Wind: Detecting Media Storms in Large-Scale News Corpora EMNLP 2024 Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy NeurIPS 2024 Revisiting Score Propagation in Graph Out-of-Distribution Detection NeurIPS 2024 Root Cause Explanation of Outliers under Noisy Mechanisms AAAI 2024 SARAD: Spatial Association-Aware Anomaly Detection and Diagnosis for Multivariate Time Series NeurIPS 2024 Securing Billion Bluetooth Devices Leveraging Learning-Based Techniques AAAI 2024 SemanticMask: A Contrastive View Design for Anomaly Detection in Tabular Data IJCAI 2024 Skip-GANomaly++: Skip Connections and Residual Blocks for Anomaly Detection (Student Abstract) AAAI 2024 Supervised Anomaly Detection for Complex Industrial Images CVPR 2024 Towards Reproducible, Automated, and Scalable Anomaly Detection AAAI 2024 Transductive and Inductive Outlier Detection with Robust Autoencoders UAI 2024 Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection AAAI 2024 YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection CVPR 2024