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← Core Methods
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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
Towards Total Recall in Industrial Anomaly Detection
CVPR 2022
Catching Both Gray and Black Swans: Open-Set Supervised Anomaly Detection
CVPR 2022
Can Abnormality be Detected by Graph Neural Networks?
IJCAI 2022
ADBench: Anomaly Detection Benchmark
NIPS 2022
Perturbation Learning Based Anomaly Detection
NIPS 2022
Detection of Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation
ACL 2022
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
NIPS 2022
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs
NIPS 2022
PulseImpute: A Novel Benchmark Task for Pulsative Physiological Signal Imputation
NIPS 2022
Deep One-Class Classification via Interpolated Gaussian Descriptor
AAAI 2022
Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs
AAAI 2022
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks
AAAI 2022
Accelerated Combinatorial Search for Outlier Detection with Provable Bound on Sub-Optimality
AAAI 2021
Open-Set Recognition with Gaussian Mixture Variational Autoencoders
AAAI 2021
Neighborhood Consensus Networks for Unsupervised Multi-view Outlier Detection
AAAI 2021
Likelihood-free Out-of-Distribution Detection with Invertible Generative Models
IJCAI 2021
MOS: Towards Scaling Out-of-Distribution Detection for Large Semantic Space
CVPR 2021
Early Safety Warnings for Long-Distance Pipelines: A Distributed Optical Fiber Sensor Machine Learning Approach
AAAI 2021
A New Robust Subspace Recovery Algorithm (Student Abstract)
AAAI 2021
MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection
CVPR 2021
Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise
ICML 2021
Autoencoding Under Normalization Constraints
ICML 2021
Few-Shot One-Class Classification via Meta-Learning
AAAI 2021
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
AAAI 2021
Adversarially Robust Change Point Detection
NIPS 2021
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