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Anomaly Detection

267 papers

Papers per year

2
1
22
46
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Papers

Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View AAAI 2023
Towards In-Distribution Compatible Out-of-Distribution Detection AAAI 2023
Contrastive Open Set Recognition AAAI 2023
Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network AAAI 2023
Detecting Anomalous Networks of Opioid Prescribers and Dispensers in Prescription Drug Data AAAI 2023
TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs AAAI 2023
CASN:Class-Aware Score Network for Textual Adversarial Detection ACL 2023
Open Set Relation Extraction via Unknown-Aware Training ACL 2023
Class based Influence Functions for Error Detection ACL 2023
Self-Supervised Video Forensics by Audio-Visual Anomaly Detection CVPR 2023
SimpleNet: A Simple Network for Image Anomaly Detection and Localization CVPR 2023
Detection of Out-of-Distribution Samples Using Binary Neuron Activation Patterns CVPR 2023
Normalizing Flow Based Feature Synthesis for Outlier-Aware Object Detection CVPR 2023
OpenMix: Exploring Outlier Samples for Misclassification Detection CVPR 2023
Diversity-Measurable Anomaly Detection CVPR 2023
TR-Rules: Rule-based Model for Link Forecasting on Temporal Knowledge Graph Considering Temporal Redundancy EMNLP 2023
BotPercent: Estimating Bot Populations in Twitter Communities EMNLP 2023
Kernel QuantTree ICML 2023
Unsupervised Deep Subgraph Anomaly Detection (Extended Abstract) IJCAI 2023
Enhancing Global Network Monitoring with Magnifier NSDI 2023
Few-Shot Fast-Adaptive Anomaly Detection NIPS 2022
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution NIPS 2022
Perturbation Learning Based Anomaly Detection NIPS 2022
AutoMS: Automatic Model Selection for Novelty Detection with Error Rate Control NIPS 2022
Boosting Out-of-distribution Detection with Typical Features NIPS 2022