Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data

28 October 2021

Papers citing "Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data"

9 / 9 papers shown

Title
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions Abhijit Guha Roy Jie Jessie Ren Shekoofeh Azizi Aaron Loh Vivek Natarajan ... Yun-Hui Liu taylan. cemgil Alan Karthikesalingam Balaji Lakshminarayanan Jim Winkens 88 106 0 08 Apr 2021
Improving Classifier Confidence using Lossy Label-Invariant Transformations Sooyong Jang Insup Lee James Weimer UQCV 33 7 0 09 Nov 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 170 1,332 0 08 Oct 2020
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning Qing Yu Daiki Ikami Go Irie Kiyoharu Aizawa 27 128 0 22 Jul 2020
Verified Uncertainty Calibration Ananya Kumar Percy Liang Tengyu Ma 85 352 0 23 Sep 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 113 1,677 0 06 Jun 2019
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 77 1,467 0 11 Dec 2018
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 82 9,509 0 31 Mar 2017
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 192 8,030 0 13 Aug 2016