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anomaly detection

740 papers

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IAD UAD AD

Co-occurring keywords

unsupervised learning (3255) out-of-distribution detection (611) self-supervised learning (3751) representation learning (6174) diffusion model (3720) graph neural network (3945) semantic segmentation (3179) generative model (2889) contrastive learning (3979) outlier detection (318)

Papers

Triggering Failures: Out-of-Distribution Detection by Learning From Local Adversarial Attacks in Semantic Segmentation ICCV 2021
OpenForensics: Large-Scale Challenging Dataset for Multi-Face Forgery Detection and Segmentation In-the-Wild ICCV 2021
Anomaly Mining - Past, Present and Future IJCAI 2021
Collaborative Novelty Detection for Distributed Data by a Probabilistic Method ACML 2021
Deep Unsupervised Anomaly Detection WACV 2021
Unsupervised Brain Anomaly Detection and Segmentation with Transformers MIDL 2021
DATE: Detecting Anomalies in Text via Self-Supervision of Transformers NAACL 2021
Joint Training of Variational Auto-Encoder and Latent Energy-Based Model CVPR 2020
Handling Anomalies of Synthetic Questions in Unsupervised Question Answering COLING 2020
GluonTS: Probabilistic and Neural Time Series Modeling in Python JMLR 2020
Midas: Microcluster-Based Detector of Anomalies in Edge Streams AAAI 2020
Transfer Learning for Anomaly Detection through Localized and Unsupervised Instance Selection AAAI 2020
Interactive Rare-Category-of-Interest Mining from Large Datasets AAAI 2020
Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features NIPS 2020
Multi-Scale Anomaly Detection on Attributed Networks AAAI 2020
Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensics CVPR 2020
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error IJCAI 2020
Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise JMLR 2020
CableMon: Improving the Reliability of Cable Broadband Networks via Proactive Network Maintenance NSDI 2020
Interactive Anomaly Detection in Mixed Tabular Data using Bayesian Networks PGM 2020
P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty Detection IJCAI 2020
Learning Memory-Guided Normality for Anomaly Detection CVPR 2020
An Anomaly Detection and Explainability Framework using Convolutional Autoencoders for Data Storage Systems IJCAI 2020
Gandalf: An Intelligent, End-To-End Analytics Service for Safe Deployment in Large-Scale Cloud Infrastructure NSDI 2020
Detecting Out-of-Distribution Examples with Gram Matrices ICML 2020