anomaly detection

Memorize Early, Then Query: Inlier-Memorization-Guided Active Outlier Detection AAAI 2026 MoECLIP: Patch-Specialized Experts for Zero-shot Anomaly Detection CVPR 2026 Multi-Prototype Compactness and Boundary-Aware Synthesis for Unsupervised Anomaly Detection CVPR 2026 Observability Is Eating Your Cores: Fine-Grained Analysis of Microservice Metrics with IPU-Hosted Sketches NSDI 2026 One-to-More: High-Fidelity Training-Free Anomaly Generation with Attention Control CVPR 2026 OnlineBootKNN: An Unsupervised Framework for Detecting Anomalies in Spectral Data Streams AAAI 2026 Online Bootstrap Inference for the Trend of Nonstationary Time Series UAI 2026 PatchEAD: Unifying Industrial Visual Prompting Frameworks for Patch-Exclusive Anomaly Detection WACV 2026 PCU: Perturbation-Calibrated Uncertainty for Unsupervised Anomaly Detection UAI 2026 Q-Former Autoencoder: A Modern Framework for Medical Anomaly Detection WACV 2026 Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection AAAI 2026 RAID: Retrieval-Augmented Anomaly Detection CVPR 2026 RcAE: Recursive Reconstruction Framework for Unsupervised Industrial Anomaly Detection AAAI 2026 RC-NF: Robot-Conditioned Normalizing Flow for Real-Time Anomaly Detection in Robotic Manipulation CVPR 2026 Reasoning-Driven Anomaly Detection and Localization with Image-Level Supervision CVPR 2026 Reducing Alert Fatigue Through AI Ranking: A Deployed Public Health Data Monitoring System AAAI 2026 Resilience in Ambient Multi-Agent LLMs via Decentralized Bio-Autonomic Control and Immune-Inspired Anomaly Detection AAAI 2026 Rethinking Jailbreak Detection of Large Vision Language Models with Representational Contrastive Scoring ACL 2026 RipAlert: A Future-Frame-Aware Framework for Rip Current Forecasting and Early Alerting AAAI 2026 RPE-PAD: Relative Pose Estimation for Pose-agnostic Anomaly Detection AAAI 2026 SAC-Diff: A Scan-Aware Consistency-Enhanced Diffusion Framework for Unsupervised Chest CT Anomaly Detection MIDL 2026 SPLIDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate NSDI 2026 SubspaceAD: Training-Free Few-Shot Anomaly Detection via Subspace Modeling CVPR 2026 TingIS: Real-time Risk Event Discovery from Noisy Customer Incidents at Enterprise Scale ACL 2026 Towards an Incremental Unified Multimodal Anomaly Detection: Augmenting Multimodal Denoising From an Information Bottleneck Perspective CVPR 2026