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Anomaly Detection

115 papers with code · Methodology

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Temporal Cycle-Consistency Learning

CVPR 2019 google-research/google-research

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

ANOMALY DETECTION REPRESENTATION LEARNING VIDEO ALIGNMENT

PyOD: A Python Toolbox for Scalable Outlier Detection

6 Jan 2019yzhao062/pyod

PyOD is an open-source Python toolbox for performing scalable outlier detection on multivariate data.

ANOMALY DETECTION OUTLIER ENSEMBLES

DeepWalk: Online Learning of Social Representations

26 Mar 2014phanein/deepwalk

We present DeepWalk, a novel approach for learning latent representations of vertices in a network.

ANOMALY DETECTION DOCUMENT CLASSIFICATION LANGUAGE MODELLING NODE CLASSIFICATION

Expected Similarity Estimation for Large-Scale Batch and Streaming Anomaly Detection

25 Jan 2016numenta/NAB

We present a novel algorithm for anomaly detection on very large datasets and data streams.

ANOMALY DETECTION

Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly Benchmark

12 Oct 2015numenta/NAB

Here we propose the Numenta Anomaly Benchmark (NAB), which attempts to provide a controlled and repeatable environment of open-source tools to test and measure anomaly detection algorithms on streaming data.

ANOMALY DETECTION TIME SERIES

GluonTS: Probabilistic Time Series Models in Python

12 Jun 2019awslabs/gluon-ts

We introduce Gluon Time Series (GluonTS, available at https://gluon-ts. mxnet. io), a library for deep-learning-based time series modeling.

ANOMALY DETECTION TIME SERIES TIME SERIES FORECASTING TIME SERIES PREDICTION

Anomaly Detection using Autoencoders in High Performance Computing Systems

13 Nov 2018logpai/loglizer

Anomaly detection in supercomputers is a very difficult problem due to the big scale of the systems and the high number of components.

ANOMALY DETECTION

LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection

1 Jul 2016chickenbestlover/RNN-Time-series-Anomaly-Detection

Mechanical devices such as engines, vehicles, aircrafts, etc., are typically instrumented with numerous sensors to capture the behavior and health of the machine.

ANOMALY DETECTION OUTLIER DETECTION TIME SERIES TIME SERIES CLASSIFICATION

Active Anomaly Detection via Ensembles: Insights, Algorithms, and Interpretability

23 Jan 2019shubhomoydas/ad_examples

In this paper, we study the problem of active learning to automatically tune ensemble of anomaly detectors to maximize the number of true anomalies discovered.

ACTIVE LEARNING ANOMALY DETECTION

GLAD: GLocalized Anomaly Detection via Active Feature Space Suppression

2 Oct 2018shubhomoydas/ad_examples

We propose an algorithm called GLAD (GLocalized Anomaly Detection) that allows end-users to retain the use of simple and understandable global anomaly detectors by automatically learning their local relevance to specific data instances using label feedback.

ANOMALY DETECTION