Anomaly Detection

Observability Is Eating Your Cores: Fine-Grained Analysis of Microservice Metrics with IPU-Hosted Sketches NSDI 2026 Skyline: A Cloud Centric Internet Monitoring Engine NSDI 2026 SMARTTalk: Teaching SMART Logs to Talk to LLMs OSDI 2026 Understanding Structured Financial Data with LLMs: A Case Study on Fraud Detection ACL 2026 A Novel Sparse Active Online Learning Framework for Fast and Accurate Streaming Anomaly Detection Over Data Streams IJCAI 2025 Conditional Testing based on Localized Conformal p-values ICLR 2025 Conformal Anomaly Detection in Event Sequences ICML 2025 Demeaned Sparse: Efficient Anomaly Detection by Residual Estimate ICML 2025 Robust Conformal Outlier Detection under Contaminated Reference Data ICML 2025 Root Cause Analysis of Anomalies in Multivariate Time Series through Granger Causal Discovery ICLR 2025 SEAD: Unsupervised Ensemble of Streaming Anomaly Detectors ICML 2025 The Case for Learned Provenance-based System Behavior Baseline ICML 2025 Unmasking Fake Careers: Detecting Machine-Generated Career Trajectories via Multi-layer Heterogeneous Graphs EMNLP 2025 WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales ICML 2025 When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series ICML 2025 Online Adaptive Anomaly Thresholding with Confidence Sequences ICML 2024 Online Isolation Forest ICML 2024 Position: Quo Vadis, Unsupervised Time Series Anomaly Detection? ICML 2024 Triadic-OCD: Asynchronous Online Change Detection with Provable Robustness, Optimality, and Convergence ICML 2024 Bregman Deviations of Generic Exponential Families COLT 2023 Kernel QuantTree ICML 2023 Multi-Scale Anomaly Detection for Time Series with Attention-based Recurrent Autoencoders ACML 2022 AugSplicing: Synchronized Behavior Detection in Streaming Tensors AAAI 2021 Collaborative Novelty Detection for Distributed Data by a Probabilistic Method ACML 2021 TODS: An Automated Time Series Outlier Detection System AAAI 2021