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Anomaly Detection

162 directly classified papers

Papers per year

Papers

A Novel Sparse Active Online Learning Framework for Fast and Accurate Streaming Anomaly Detection Over Data Streams IJCAI 2025
Howard University - AI4PC at SemEval-2025 Task 3: Logit-based Supervised Token Classification for Multilingual Hallucination Span Identification Using XGBOD ACL 2025
Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams AAAI 2025
Graph Mixture of Experts and Memory-augmented Routers for Multivariate Time Series Anomaly Detection AAAI 2025
Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection AAAI 2025
PyGOD: A Python Library for Graph Outlier Detection JMLR 2024
A Comprehensive Augmentation Framework for Anomaly Detection AAAI 2024
NLP for Digital Humanities: Processing Chronological Text Corpora EMNLP 2024
Revisiting Score Propagation in Graph Out-of-Distribution Detection NIPS 2024
Reap the Wild Wind: Detecting Media Storms in Large-Scale News Corpora EMNLP 2024
Automatic Outlier Rectification via Optimal Transport NIPS 2024
Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection AAAI 2024
Multi-Scale Dynamic Graph Learning for Time Series Anomaly Detection (Student Abstract) AAAI 2024
Counterfactual Graph Learning for Anomaly Detection with Feature Disentanglement and Generation (Student Abstract) AAAI 2024
Discriminability-Driven Channel Selection for Out-of-Distribution Detection CVPR 2024
Root Cause Explanation of Outliers under Noisy Mechanisms AAAI 2024
EGonc : Energy-based Open-Set Node Classification with substitute Unknowns NIPS 2024
Quantile-Based Maximum Likelihood Training for Outlier Detection AAAI 2024
Knowledge Graph Error Detection with Contrastive Confidence Adaption AAAI 2024
SemanticMask: A Contrastive View Design for Anomaly Detection in Tabular Data IJCAI 2024
Towards Reproducible, Automated, and Scalable Anomaly Detection AAAI 2024
Combating Insider Threat in the Open-World Environments: Identification, Monitoring, and Data Augmentation AAAI 2024
Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection CVPR 2024
DPDLLM: A Black-box Framework for Detecting Pre-training Data from Large Language Models ACL 2024
Supervised Anomaly Detection for Complex Industrial Images CVPR 2024