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2205.04613
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Calibrating for Class Weights by Modeling Machine Learning
10 May 2022
Andrew Caplin
Daniel Martin
Philip Marx
Re-assign community
ArXiv (abs)
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Papers citing
"Calibrating for Class Weights by Modeling Machine Learning"
7 / 7 papers shown
Title
Deep Probability Estimation
Sheng Liu
Aakash Kaku
Weicheng Zhu
M. Leibovich
S. Mohan
...
Haoxiang Huang
L. Zanna
N. Razavian
Jonathan Niles-Weed
C. Fernandez‐Granda
UQCV
OOD
92
14
0
21 Nov 2021
Revisiting the Calibration of Modern Neural Networks
Matthias Minderer
Josip Djolonga
Rob Romijnders
F. Hubis
Xiaohua Zhai
N. Houlsby
Dustin Tran
Mario Lucic
UQCV
108
367
0
15 Jun 2021
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
446
2,694
0
04 May 2021
The Algorithmic Automation Problem: Prediction, Triage, and Human Effort
M. Raghu
Katy Blumer
G. Corrado
Jon M. Kleinberg
Ziad Obermeyer
S. Mullainathan
174
140
0
28 Mar 2019
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
Pranav Rajpurkar
Jeremy Irvin
Kaylie Zhu
Brandon Yang
Hershel Mehta
...
Aarti Bagul
C. Langlotz
K. Shpanskaya
M. Lungren
A. Ng
LM&MA
104
2,713
0
14 Nov 2017
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
299
5,877
0
14 Jun 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
850
5,849
0
05 Dec 2016
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