Browse SoTA > Methodology > Anomaly Detection

Anomaly Detection

262 papers with code · Methodology

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

Benchmarks

Greatest papers with code

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 SELF-SUPERVISED 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

Viral Pneumonia Screening on Chest X-ray Images Using Confidence-Aware Anomaly Detection

27 Mar 2020ieee8023/covid-chestxray-dataset

In this paper, we formulate the task of differentiating viral pneumonia from non-viral pneumonia and healthy controls into an one-class classification-based anomaly detection problem, and thus propose the confidence-aware anomaly detection (CAAD) model, which consists of a shared feature extractor, an anomaly detection module, and a confidence prediction module.

ANOMALY DETECTION

Large-Scale Intelligent Microservices

17 Sep 2020Azure/mmlspark

Deploying Machine Learning (ML) algorithms within databases is a challenge due to the varied computational footprints of modern ML algorithms and the myriad of database technologies each with their own restrictive syntax.

ANOMALY DETECTION

Learning Retrospective Knowledge with Reverse Reinforcement Learning

NeurIPS 2020 ShangtongZhang/DeepRL

We present a Reverse Reinforcement Learning (Reverse RL) approach for representing retrospective knowledge.

ANOMALY DETECTION REPRESENTATION LEARNING

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 LANGUAGE MODELLING NODE CLASSIFICATION

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

Unsupervised real-time anomaly detection for streaming data

Neurocomputing 2017 numenta/NAB

We present results and analysis for a wide range of algorithms on this benchmark, and discuss future challenges for the emerging field of streaming analytics.

ANOMALY DETECTION TIME SERIES

Real-Time Anomaly Detection for Streaming Analytics

8 Jul 2016numenta/NAB

Much of the worlds data is streaming, time-series data, where anomalies give significant information in critical situations.

ANOMALY DETECTION TIME SERIES

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 INCREMENTAL LEARNING