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Anomaly Detection

167 papers with code · Methodology

Anomaly Detection, Novelty Detection, Out-of-Distribution Detection

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Anomaly Detection in Video Games

20 May 2020BenedictWilkinsAI/S3N

With the aim of designing automated tools that assist in the video game quality assurance process, we frame the problem of identifying bugs in video games as an anomaly detection (AD) problem.

ANOMALY DETECTION ATARI GAMES METRIC LEARNING

0
20 May 2020

Unsupervised Anomaly Detection via Deep Metric Learning with End-to-End Optimization

12 May 2020selimfirat/addml

We investigate unsupervised anomaly detection for high-dimensional data and introduce a deep metric learning (DML) based framework.

METRIC LEARNING UNSUPERVISED ANOMALY DETECTION

5
12 May 2020

Classification-Based Anomaly Detection for General Data

ICLR 2020 lironber/GOAD

Anomaly detection, finding patterns that substantially deviate from those seen previously, is one of the fundamental problems of artificial intelligence.

ANOMALY DETECTION

6
05 May 2020

Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly Detection

5 May 2020seonho-park/PGN_anomaly_detection

Building a scalable machine learning system for unsupervised anomaly detection via representation learning is highly desirable.

REPRESENTATION LEARNING UNSUPERVISED ANOMALY DETECTION

1
05 May 2020

Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study

7 Apr 2020StefanDenn3r/Unsupervised_Anomaly_Detection_Brain_MRI

Deep unsupervised representation learning has recently led to new approaches in the field of Unsupervised Anomaly Detection (UAD) in brain MRI.

UNSUPERVISED ANOMALY DETECTION UNSUPERVISED REPRESENTATION LEARNING

8
07 Apr 2020

When, Where, and What? A New Dataset for Anomaly Detection in Driving Videos

6 Apr 2020MoonBlvd/tad-IROS2019

A new spatial-temporal area under curve (STAUC) evaluation metric is proposed and used with DoTA.

ANOMALY DETECTION

38
06 Apr 2020

COVID-19 Screening on Chest X-ray Images Using Deep Learning based Anomaly Detection

27 Mar 2020Mjrovai/covid19Xray

Deep learning, one of the most successful AI techniques, is an effective means to assist radiologists to analyze the vast amount of chest X-ray images, which can be critical for efficient and reliable COVID-19 screening.

ANOMALY DETECTION

2
27 Mar 2020

FastDTW is approximate and Generally Slower than the Algorithm it Approximates

25 Mar 2020baggepinnen/DynamicAxisWarping.jl

For over two decades it has been known that the Dynamic Time Warping (DTW) distance measure is the best measure to use for most tasks, in most domains.

ANOMALY DETECTION TIME SERIES

6
25 Mar 2020

Self-Supervised Log Parsing

17 Mar 2020nulog/nulog

This allows the coupling of the MLM as pre-training with a downstream anomaly detection task.

ANOMALY DETECTION FAULT DETECTION LANGUAGE MODELLING SELF-SUPERVISED LEARNING

7
17 Mar 2020

Fast Distance-based Anomaly Detection in Images Using an Inception-like Autoencoder

12 Mar 2020natasasdj/anomalyDetection

First, using normal examples, a convolutional autoencoder (CAE) is trained to extract a low-dimensional representation of the images.

ANOMALY DETECTION QUANTIZATION

1
12 Mar 2020