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How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?
7 February 2023
Fredrik K. Gustafsson
Martin Danelljan
Thomas B. Schon
OOD
UQCV
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Papers citing
"How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?"
20 / 20 papers shown
Title
Back to the Basics: Revisiting Out-of-Distribution Detection Baselines
Jo-Lan Kuan
Jonas W. Mueller
OODD
47
28
0
07 Jul 2022
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification
Leo Schwinn
Leon Bungert
A. Nguyen
René Raab
Falk Pulsmeyer
Doina Precup
Björn Eskofier
Dario Zanca
OOD
59
15
0
19 May 2022
Out-of-Distribution Detection with Deep Nearest Neighbors
Yiyou Sun
Yifei Ming
Xiaojin Zhu
Yixuan Li
OODD
166
512
0
13 Apr 2022
Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting
Vilde Jensen
F. Bianchi
S. N. Anfinsen
AI4TS
135
38
0
17 Feb 2022
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks
A. Malinin
Neil Band
Ganshin
Alexander
German Chesnokov
...
Roginskiy
Denis
Mariya Shmatova
Panos Tigas
Boris Yangel
UQCV
OOD
73
131
0
15 Jul 2021
The Medical Segmentation Decathlon
Michela Antonelli
Annika Reinke
Spyridon Bakas
Keyvan Farahani
AnnetteKopp-Schneider
...
Zhanwei Xu
Yefeng Zheng
Amber L. Simpson
Lena Maier-Hein
M. Jorge Cardoso
OOD
99
977
0
10 Jun 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh
Shiori Sagawa
Henrik Marklund
Sang Michael Xie
Marvin Zhang
...
A. Kundaje
Emma Pierson
Sergey Levine
Chelsea Finn
Percy Liang
OOD
170
1,428
0
14 Dec 2020
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification
Youngseog Chung
Willie Neiswanger
I. Char
J. Schneider
UQCV
130
88
0
18 Nov 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
Dan Hendrycks
Steven Basart
Norman Mu
Saurav Kadavath
Frank Wang
...
Samyak Parajuli
Mike Guo
D. Song
Jacob Steinhardt
Justin Gilmer
OOD
294
1,727
0
29 Jun 2020
Large-scale biometry with interpretable neural network regression on UK Biobank body MRI
Taro Langner
Robin Strand
H. Ahlström
J. Kullberg
49
22
0
17 Feb 2020
Input complexity and out-of-distribution detection with likelihood-based generative models
Joan Serrà
David Álvarez
Vicencc Gómez
Olga Slizovskaia
José F. Núñez
Jordi Luque
OODD
120
276
0
25 Sep 2019
Natural Adversarial Examples
Dan Hendrycks
Kevin Zhao
Steven Basart
Jacob Steinhardt
D. Song
OODD
188
1,465
0
16 Jul 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
151
1,688
0
06 Jun 2019
Evaluating and Calibrating Uncertainty Prediction in Regression Tasks
Dan Levi
Liran Gispan
Niv Giladi
Ethan Fetaya
UQCV
78
143
0
28 May 2019
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
Amber L. Simpson
Michela Antonelli
Spyridon Bakas
Michel Bilello
Keyvan Farahani
...
M. McHugo
S. Napel
Eugene Vorontsov
Lena Maier-Hein
M. Jorge Cardoso
99
858
0
25 Feb 2019
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
Shaoshuai Shi
Xiaogang Wang
Hongsheng Li
3DPC
174
2,403
0
11 Dec 2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Spyridon Bakas
M. Reyes
Andras Jakab
Stefan Bauer
Markus Rempfler
...
Jayashree Kalpathy-Cramer
Keyvan Farahani
Christos Davatzikos
Koen van Leemput
Bjoern Menze
121
1,628
0
05 Nov 2018
Simple Baselines for Human Pose Estimation and Tracking
Bin Xiao
Haiping Wu
Yichen Wei
3DH
VOT
113
1,784
0
17 Apr 2018
Selective Classification for Deep Neural Networks
Yonatan Geifman
Ran El-Yaniv
CVBM
90
526
0
23 May 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDL
OOD
UD
UQCV
PER
326
4,700
0
15 Mar 2017
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