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Deep Learning
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Anomaly Detection
14 papers
Papers per year
2018: 1
1
2020: 1
1
2022: 3
3
2023: 3
3
2024: 1
1
2025: 4
4
2026: 1
1
Papers
Training-Free Zero-Shot Anomaly Detection in 3D Brain MRI with 2D Foundation Models
MIDL 2026
Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection
AAAI 2025
Graph Mixture of Experts and Memory-augmented Routers for Multivariate Time Series Anomaly Detection
AAAI 2025
Where's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content
CVPR 2025
A knowledge-based method for detecting network-induced shape artifacts in synthetic images
MIDL 2025
EGonc : Energy-based Open-Set Node Classification with substitute Unknowns
NIPS 2024
PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection
NIPS 2023
SimpleNet: A Simple Network for Image Anomaly Detection and Localization
CVPR 2023
Normalizing Flow Based Feature Synthesis for Outlier-Aware Object Detection
CVPR 2023
Deep One-Class Classification via Interpolated Gaussian Descriptor
AAAI 2022
Anomaly Detection via Reverse Distillation From One-Class Embedding
CVPR 2022
Towards Total Recall in Industrial Anomaly Detection
CVPR 2022
Unsupervised Anomaly Detection in Parole Hearings using Language Models
EMNLP 2020
Deep Anomaly Detection Using Geometric Transformations
NIPS 2018
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