Improving State-of-the-Art in One-Class Classification by Leveraging Unlabeled Data

14 March 2022

Papers citing "Improving State-of-the-Art in One-Class Classification by Leveraging Unlabeled Data"

12 / 12 papers shown

Title
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models Lily H. Zhang Mark Goldstein Rajesh Ranganath OODD 173 106 0 14 Jul 2021
Positive-Unlabeled Classification under Class-Prior Shift: A Prior-invariant Approach Based on Density Ratio Estimation Shōta Nakajima Masashi Sugiyama 137 9 0 11 Jul 2021
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 117 804 0 24 Sep 2020
Rethinking Assumptions in Deep Anomaly Detection Lukas Ruff Robert A. Vandermeulen Billy Joe Franks Klaus-Robert Muller Marius Kloft 81 90 0 30 May 2020
DROCC: Deep Robust One-Class Classification Sachin Goyal Aditi Raghunathan Moksh Jain H. Simhadri Prateek Jain VLM 91 166 0 28 Feb 2020
Deep Semi-Supervised Anomaly Detection Lukas Ruff Robert A. Vandermeulen Nico Görnitz Alexander Binder Emmanuel Müller K. Müller Marius Kloft UQCV 58 547 0 06 Jun 2019
Revisiting Sample Selection Approach to Positive-Unlabeled Learning: Turning Unlabeled Data into Positive rather than Negative Miao Xu Bing Li Gang Niu Bo Han Masashi Sugiyama OnRL 76 13 0 29 Jan 2019
One-Class Convolutional Neural Network Poojan Oza Vishal M. Patel 60 162 0 24 Jan 2019
Deep Learning for Anomaly Detection: A Survey Raghavendra Chalapathy Sanjay Chawla AI4TS 154 1,495 0 10 Jan 2019
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 183 1,487 0 11 Dec 2018
Learning from positive and unlabeled data: a survey Jessa Bekker Jesse Davis 78 561 0 12 Nov 2018
Finding Deceptive Opinion Spam by Any Stretch of the Imagination Myle Ott Yejin Choi Claire Cardie Jeffrey T. Hancock 87 1,386 0 22 Jul 2011