Anomaly Detection
132 papers
Papers per year
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1
1
1
2
2
2
1
3
3
3
1
8
6
30
67
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'25
Papers
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations
UAI 2024
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection
ICLR 2024
Transductive and Inductive Outlier Detection with Robust Autoencoders
UAI 2024
AE-FLOW: Autoencoders with Normalizing Flows for Medical Images Anomaly Detection
ICLR 2023
BotPercent: Estimating Bot Populations in Twitter Communities
EMNLP 2023
Decouple then Combine: A Simple and Effective Framework for Fraud Transaction Detection
ACML 2023
Enhancing Global Network Monitoring with Magnifier
NSDI 2023
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics
ICLR 2023
Unsupervised Model Selection for Time Series Anomaly Detection
ICLR 2023
VTaC: A Benchmark Dataset of Ventricular Tachycardia Alarms from ICU Monitors
NeurIPS 2023
What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization
NeurIPS 2023
Evolutive Adversarially-Trained Bayesian Network Autoencoder for Interpretable Anomaly Detection
PGM 2022
Collaborative Novelty Detection for Distributed Data by a Probabilistic Method
ACML 2021
Estimating informativeness of samples with Smooth Unique Information
ICLR 2021
MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection
CVPR 2021
Adaptive Double-Exploration Tradeoff for Outlier Detection
AAAI 2020
Interactive Anomaly Detection in Mixed Tabular Data
using Bayesian Networks
PGM 2020
Towards a Hierarchical Bayesian Model of Multi-View Anomaly Detection
IJCAI 2020
An Encoding Adversarial Network for Anomaly Detection
ACML 2019
Forward-Backward Generative Adversarial Networks for Anomaly Detection
ACML 2019
Outlier Detection for Time Series with Recurrent Autoencoder Ensembles
IJCAI 2019
Efficient Minimax Signal Detection on Graphs
NeurIPS 2014
Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic
NeurIPS 2013
Rapid Distance-Based Outlier Detection via Sampling
NeurIPS 2013
Locating Changes in Highly Dependent Data with Unknown Number of Change Points
NeurIPS 2012