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# Anomaly Detection Edit

79 papers with code · Methodology

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# Deep Anomaly Detection with Outlier Exposure

Dan Hendrycks et al

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

01 May 2019

# Consistency-based anomaly detection with adaptive multiple-hypotheses predictions

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.

01 May 2019

# UaiNets: From Unsupervised to Active Deep Anomaly Detection

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.

01 May 2019

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

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.

01 May 2019

# Unsupervised Learning of the Set of Local Maxima

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.

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.

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.

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.

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.

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.

14 Apr 2019