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Core Methods
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Anomaly Detection
162 directly classified papers
Papers per year
2006: 2
2007: 2
2008: 1
2009: 3
2010: 2
2011: 1
2012: 2
2013: 4
2014: 3
2016: 3
2017: 2
2018: 6
2019: 12
2020: 15
2021: 17
2022: 16
2023: 17
2024: 24
2025: 29
2026: 1
Papers
Multi-Scale Dynamic Graph Learning for Time Series Anomaly Detection (Student Abstract)
AAAI 2024
Revisiting Score Propagation in Graph Out-of-Distribution Detection
NIPS 2024
Combating Insider Threat in the Open-World Environments: Identification, Monitoring, and Data Augmentation
AAAI 2024
Towards Reproducible, Automated, and Scalable Anomaly Detection
AAAI 2024
Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network
AAAI 2023
Contrastive Open Set Recognition
AAAI 2023
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View
AAAI 2023
ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels
AAAI 2023
Kernel QuantTree
ICML 2023
Improving neural network representations using human similarity judgments
NIPS 2023
Unsupervised Deep Subgraph Anomaly Detection (Extended Abstract)
IJCAI 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
Normalizing Flow Based Feature Synthesis for Outlier-Aware Object Detection
CVPR 2023
SimpleNet: A Simple Network for Image Anomaly Detection and Localization
CVPR 2023
Enhancing Global Network Monitoring with Magnifier
NSDI 2023
Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach
NIPS 2023
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation
NIPS 2023
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection
NIPS 2023
Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data
NIPS 2023
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection
NIPS 2023
Can Abnormality be Detected by Graph Neural Networks?
IJCAI 2022
Anomaly Detection via Reverse Distillation From One-Class Embedding
CVPR 2022
CCA: An ML Pipeline for Cloud Anomaly Troubleshooting
AAAI 2022
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks
AAAI 2022
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