CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances

16 July 2020

Papers citing "CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances"

21 / 71 papers shown

Title
Deep Anomaly Detection Using Geometric Transformations I. Golan Ran El-Yaniv 89 607 0 28 May 2018
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination Zhirong Wu Yuanjun Xiong Stella X. Yu Dahua Lin SSL 170 3,452 0 05 May 2018
Unsupervised Representation Learning by Predicting Image Rotations Spyros Gidaris Praveer Singh N. Komodakis OOD SSL DRL 252 3,289 0 21 Mar 2018
DOTA: A Large-scale Dataset for Object Detection in Aerial Images Gui-Song Xia X. Bai Jian Ding Zhen Zhu Serge J. Belongie Jiebo Luo Mihai Datcu Marcello Pelillo Liangpei Zhang ObjD 123 2,173 0 28 Nov 2017
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples Kimin Lee Honglak Lee Kibok Lee Jinwoo Shin OODD 113 881 0 26 Nov 2017
Improved Regularization of Convolutional Neural Networks with Cutout Terrance Devries Graham W. Taylor 109 3,764 0 15 Aug 2017
Large Batch Training of Convolutional Networks Yang You Igor Gitman Boris Ginsburg ODL 128 848 0 13 Aug 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 294 5,825 0 14 Jun 2017
Confident Multiple Choice Learning Kimin Lee Changho Hwang KyoungSoo Park Jinwoo Shin 56 48 0 12 Jun 2017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks Shiyu Liang Yixuan Li R. Srikant UQCV OODD 168 2,068 0 08 Jun 2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour Priya Goyal Piotr Dollár Ross B. Girshick P. Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He 3DH 124 3,678 0 08 Jun 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
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 155 3,451 0 07 Oct 2016
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 319 8,114 0 13 Aug 2016
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 212 2,383 0 21 Jun 2016
Deep Structured Energy Based Models for Anomaly Detection Shuangfei Zhai Yu Cheng Weining Lu Zhongfei Zhang 69 427 0 25 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,814 0 10 Dec 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 460 43,277 0 11 Feb 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 452 43,635 0 17 Sep 2014
Describing Textures in the Wild Mircea Cimpoi Subhransu Maji Iasonas Kokkinos S. Mohamed Andrea Vedaldi 3DV 116 2,669 0 14 Nov 2013
A Comprehensive Survey of Data Mining-based Fraud Detection Research Shing-Han Li D. Yen Wen-Hui Lu Chi-Jer Wang 83 445 0 30 Sep 2010