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anomaly detection

740 papers

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Also known as

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

Unsupervised Representation Learning by Predicting Random Distances IJCAI 2020
The Area of the Convex Hull of Sampled Curves: a Robust Functional Statistical Depth measure AISTATS 2020
HRN: A Holistic Approach to One Class Learning NIPS 2020
Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact IJCAI 2020
TellTail: Fast Scoring and Detection of Dense Subgraphs AAAI 2020
PrivateEye: Scalable and Privacy-Preserving Compromise Detection in the Cloud NSDI 2020
Learning Retrospective Knowledge with Reverse Reinforcement Learning NIPS 2020
Self-Supervised Learning for Generalizable Out-of-Distribution Detection AAAI 2020
An Automatic Shoplifting Detection from Surveillance Videos (Student Abstract) AAAI 2020
Unsupervised Anomaly Detection in Parole Hearings using Language Models EMNLP 2020
Towards a Hierarchical Bayesian Model of Multi-View Anomaly Detection IJCAI 2020
Catching Cheats: Detecting Strategic Manipulation in Distributed Optimisation of Electric Vehicle Aggregators (Extended Abstract) IJCAI 2020
Market Manipulation: An Adversarial Learning Framework for Detection and Evasion IJCAI 2020
Lipschitz Continuous Autoencoders in Application to Anomaly Detection AISTATS 2020
Uncertainty-Aware Deep Classifiers Using Generative Models AAAI 2020
Towards Visually Explaining Variational Autoencoders CVPR 2020
Latent Regularized Generative Dual Adversarial Network For Abnormal Detection IJCAI 2020
MixedAD: A Scalable Algorithm for Detecting Mixed Anomalies in Attributed Graphs AAAI 2020
Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks IJCAI 2020
Class Prior Estimation in Active Positive and Unlabeled Learning IJCAI 2020
Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm CVPR 2020
Detecting Suspicious Timber Trades AAAI 2020
Interpretable, Multidimensional, Multimodal Anomaly Detection with Negative Sampling for Detection of Device Failure ICML 2020
DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection CVPR 2020
Exploration of Audio Quality Assessment and Anomaly Localisation Using Attention Models INTERSPEECH 2020