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Anomaly Detection

162 directly classified papers

Papers per year

Papers

SFGA: Similarity-Constrained Fusion Learning for Unsupervised Anomaly Detection in Multiplex Graphs AAAI 2026
Searching for Unfairness in Algorithms’ Outputs: Novel Tests and Insights AAAI 2025
Infinite-dimensional Mahalanobis Distance with Applications to Kernelized Novelty Detection JMLR 2025
A Generalizable Anomaly Detection Method in Dynamic Graphs AAAI 2025
Hubness Change Point Detection AAAI 2025
Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling AAAI 2025
Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective AAAI 2025
Graph Mixture of Experts and Memory-augmented Routers for Multivariate Time Series Anomaly Detection AAAI 2025
Grimm: A Plug-and-Play Perturbation Rectifier for Graph Neural Networks Defending Against Poisoning Attacks AAAI 2025
Multi-Subspace Matrix Recovery from Permuted Data AAAI 2025
Tab-Shapley: Identifying Top-k Tabular Data Quality Insights AAAI 2025
A Novel Sparse Active Online Learning Framework for Fast and Accurate Streaming Anomaly Detection Over Data Streams IJCAI 2025
Efficient Anomaly Detection of Irregular Sequences in Ct-Echo Model Space AAAI 2025
UniFORM: Towards Unified Framework for Anomaly Detection on Graphs AAAI 2025
TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection AAAI 2025
Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams AAAI 2025
Diffusion-based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection AAAI 2025
Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection AAAI 2025
Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection AAAI 2025
HYBOOD: A Hybrid Generative Model for Out-of-Distribution Detection with Corruption Estimation AAAI 2025
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality AAAI 2025
Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs AAAI 2025
Disentangling Tabular Data Towards Better One-Class Anomaly Detection AAAI 2025
Dynamic Spectral Graph Anomaly Detection AAAI 2025
Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection AAAI 2025