Deep Variational Semi-Supervised Novelty Detection

12 November 2019

Papers citing "Deep Variational Semi-Supervised Novelty Detection"

27 / 27 papers shown

Title
SSD: A Unified Framework for Self-Supervised Outlier Detection Vikash Sehwag M. Chiang Prateek Mittal OODD 91 342 0 22 Mar 2021
Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder Tal Daniel Aviv Tamar DRL 63 43 0 24 Dec 2020
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances Jihoon Tack Sangwoo Mo Jongheon Jeong Jinwoo Shin OODD 69 599 0 16 Jul 2020
Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification Penny Chong Lukas Ruff Marius Kloft Alexander Binder 76 35 0 24 Jan 2020
Deep Semi-Supervised Anomaly Detection Lukas Ruff Robert A. Vandermeulen Nico Görnitz Alexander Binder Emmanuel Müller K. Müller Marius Kloft UQCV 54 545 0 06 Jun 2019
Deep Learning for Anomaly Detection: A Survey Raghavendra Chalapathy Sanjay Chawla AI4TS 154 1,494 0 10 Jan 2019
Do Deep Generative Models Know What They Don't Know? Eric T. Nalisnick Akihiro Matsukawa Yee Whye Teh Dilan Görür Balaji Lakshminarayanan OOD 63 757 0 22 Oct 2018
Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series Dan Li Dacheng Chen Jonathan Goh See-kiong Ng AI4TS 48 297 0 13 Sep 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 179 2,049 0 10 Jul 2018
Generative Modeling by Inclusive Neural Random Fields with Applications in Image Generation and Anomaly Detection Yunfu Song Zhijian Ou DiffM 64 30 0 01 Jun 2018
Deep Anomaly Detection Using Geometric Transformations I. Golan Ran El-Yaniv 86 607 0 28 May 2018
One-Shot Learning using Mixture of Variational Autoencoders: a Generalization Learning approach Decebal Constantin Mocanu Elena Mocanu BDL VLM DRL 51 18 0 18 Apr 2018
Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection Yisroel Mirsky Tomer Doitshman Yuval Elovici A. Shabtai 74 813 0 25 Feb 2018
An overview of deep learning based methods for unsupervised and semi-supervised anomaly detection in videos Dilip Ravi Kiran Mathew Thomas Ranjith Parakkal 64 448 0 09 Jan 2018
Safer Classification by Synthesis William Wang Angelina Wang Aviv Tamar Xi Chen Pieter Abbeel 61 41 0 22 Nov 2017
Unsupervised and Semi-supervised Anomaly Detection with LSTM Neural Networks Tolga Ergen Ali Hassan Mirza Suleyman S. Kozat AI4TS 85 252 0 25 Oct 2017
Learning Sampling Distributions for Robot Motion Planning Brian Ichter James Harrison Marco Pavone 39 353 0 16 Sep 2017
Incorporating Feedback into Tree-based Anomaly Detection S. Das Weng-Keen Wong Alan Fern Thomas G. Dietterich Md Amran Siddiqui 20 50 0 30 Aug 2017
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery T. Schlegl Philipp Seeböck S. Waldstein U. Schmidt-Erfurth Georg Langs MedIm GAN 104 2,228 0 17 Mar 2017
Variational Inference via $χ$ -Upper Bound Minimization Adji Bousso Dieng Dustin Tran Rajesh Ranganath John Paisley David M. Blei BDL 97 35 0 01 Nov 2016
Deep Structured Energy Based Models for Anomaly Detection Shuangfei Zhai Yu Cheng Weining Lu Zhongfei Zhang 69 427 0 25 May 2016
Ladder Variational Autoencoders C. Sønderby T. Raiko Lars Maaløe Søren Kaae Sønderby Ole Winther BDL DRL 95 911 0 06 Feb 2016
Generating Sentences from a Continuous Space Samuel R. Bowman Luke Vilnis Oriol Vinyals Andrew M. Dai Rafal Jozefowicz Samy Bengio DRL 105 2,359 0 19 Nov 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,006 0 22 Dec 2014
Semi-Supervised Learning with Deep Generative Models Diederik P. Kingma Danilo Jimenez Rezende S. Mohamed Max Welling GAN SSL BDL 85 2,740 0 20 Jun 2014
Toward Supervised Anomaly Detection Nico Görnitz Marius Kloft Konrad Rieck Ulf Brefeld AAML 55 387 0 23 Jan 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 437 16,940 0 20 Dec 2013