DOC3-Deep One Class Classification using Contradictions

17 May 2021

Papers citing "DOC3-Deep One Class Classification using Contradictions"

21 / 21 papers shown

Title
ScaleNet: An Unsupervised Representation Learning Method for Limited Information Huili Huang M. M. Roozbahani SSL 93 805 0 03 Oct 2023
MOCCA: Multi-Layer One-Class ClassificAtion for Anomaly Detection F. V. Massoli Fabrizio Falchi Alperen Kantarci cSeymanur Akti H. K. Ekenel Giuseppe Amato 53 62 0 09 Dec 2020
ESAD: End-to-end Deep Semi-supervised Anomaly Detection Chaoqin Huang Fei Ye Peisen Zhao Ya Zhang Yanfeng Wang Qi Tian 44 12 0 09 Dec 2020
Combining GANs and AutoEncoders for Efficient Anomaly Detection F. Carrara Giuseppe Amato Luca Brombin Fabrizio Falchi Claudio Gennaro Isti Cnr 121 27 0 16 Nov 2020
A Unifying Review of Deep and Shallow Anomaly Detection Lukas Ruff Jacob R. Kauffmann Robert A. Vandermeulen G. Montavon Wojciech Samek Marius Kloft Thomas G. Dietterich Klaus-Robert Muller UQCV 106 797 0 24 Sep 2020
Classification-Based Anomaly Detection for General Data Liron Bergman Yedid Hoshen 47 350 0 05 May 2020
DROCC: Deep Robust One-Class Classification Sachin Goyal Aditi Raghunathan Moksh Jain H. Simhadri Prateek Jain VLM 69 164 0 28 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 475 42,407 0 03 Dec 2019
Attribute Restoration Framework for Anomaly Detection Chaoqin Huang Fei Ye Jinkun Cao Maosen Li Ya Zhang Cewu Lu 93 50 0 25 Nov 2019
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 1,493 0 10 Jan 2019
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 181 1,478 0 11 Dec 2018
Active Anomaly Detection via Ensembles S. Das M. R. Islam Nitthilan Kanappan Jayakodi J. Doppa 34 13 0 17 Sep 2018
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training S. Akçay Amir Atapour-Abarghouei T. Breckon GAN 76 1,391 0 17 May 2018
Efficient GAN-Based Anomaly Detection Houssam Zenati Chuan-Sheng Foo Bruno Lecouat Gaurav Manek V. Chandrasekhar 45 563 0 17 Feb 2018
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery T. Schlegl Philipp Seeböck S. Waldstein U. Schmidt-Erfurth Georg Langs MedIm GAN 106 2,229 0 17 Mar 2017
AdaNet: Adaptive Structural Learning of Artificial Neural Networks Corinna Cortes X. Gonzalvo Vitaly Kuznetsov M. Mohri Scott Yang 73 285 0 05 Jul 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 429 18,350 0 27 May 2016
Universum Learning for SVM Regression Sauptik Dhar V. Cherkassky 14 5 0 27 May 2016
Universum Prescription: Regularization using Unlabeled Data Xiang Zhang Yann LeCun 49 31 0 11 Nov 2015
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 290 587 0 27 Feb 2015