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Anomaly Detection

79 papers with code · Methodology

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Deep Anomaly Detection with Outlier Exposure

ICLR 2019 Dan Hendrycks et al

We also analyze the flexibility and robustness of Outlier Exposure, and identify characteristics of the auxiliary dataset that improve performance.

ANOMALY DETECTION

01 May 2019

Consistency-based anomaly detection with adaptive multiple-hypotheses predictions

ICLR 2019 Duc Tam Nguyen et al

Thus, due to the lack of representative data, the wide-spread discriminative approaches cannot cover such learning tasks, and rather generative models, which attempt to learn the input density of the normal cases, are used.

ANOMALY DETECTION

01 May 2019

UaiNets: From Unsupervised to Active Deep Anomaly Detection

ICLR 2019 Tiago Pimentel et al

This work presents a method for active anomaly detection which can be built upon existing deep learning solutions for unsupervised anomaly detection.

UNSUPERVISED ANOMALY DETECTION

01 May 2019

EnGAN: Latent Space MCMC and Maximum Entropy Generators for Energy-based Models

ICLR 2019 Rithesh Kumar et al

Unsupervised learning is about capturing dependencies between variables and is driven by the contrast between the probable vs improbable configurations of these variables, often either via a generative model which only samples probable ones or with an energy function (unnormalized log-density) which is low for probable ones and high for improbable ones.

ANOMALY DETECTION

01 May 2019

Unsupervised Learning of the Set of Local Maxima

ICLR 2019 Lior Wolf et al

This paper describes a new form of unsupervised learning, whose input is a set of unlabeled points that are assumed to be local maxima of an unknown value function $v$ in an unknown subset of the vector space.

ANOMALY DETECTION

01 May 2019

Deep Representation Learning for Social Network Analysis

18 Apr 2019Qiaoyu Tan et al

First, we introduce the basic models for learning node representations in homogeneous networks.

ANOMALY DETECTION LINK PREDICTION REPRESENTATION LEARNING

18 Apr 2019

Deep Anomaly Detection for Generalized Face Anti-Spoofing

17 Apr 2019Daniel Pérez-Cabo et al

Face recognition has achieved unprecedented results, surpassing human capabilities in certain scenarios.

ANOMALY DETECTION FACE ANTI-SPOOFING FACE RECOGNITION METRIC LEARNING

17 Apr 2019

Temporal Cycle-Consistency Learning

16 Apr 2019Debidatta Dwibedi et al

We introduce a self-supervised representation learning method based on the task of temporal alignment between videos.

ANOMALY DETECTION REPRESENTATION LEARNING

16 Apr 2019

Graph-Based Method for Anomaly Detection in Functional Brain Network using Variational Autoencoder

15 Apr 2019Jalal Mirakhorli et al

Functional neuroimaging techniques using resting-state functional MRI (rs-fMRI) have accelerated progress in brain disorders and dysfunction studies.

ANOMALY DETECTION

15 Apr 2019

Should I Raise The Red Flag? A comprehensive survey of anomaly scoring methods toward mitigating false alarms

14 Apr 2019Zahra Zohrevand et al

The second group includes approaches utilized in the related contexts as a filtering method toward decreasing the possibility of false alarm rates. Given the lack of a comprehensive study regarding possible ways to mitigate the false alarm rates, in this paper, we review the existing techniques for false alarm mitigation in ADS and present the pros and cons of each technique.

ANOMALY DETECTION INTRUSION DETECTION

14 Apr 2019