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2407.12330
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Uncertainty Calibration with Energy Based Instance-wise Scaling in the Wild Dataset
17 July 2024
Mijoo Kim
Junseok Kwon
UQCV
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Papers citing
"Uncertainty Calibration with Energy Based Instance-wise Scaling in the Wild Dataset"
20 / 20 papers shown
Title
The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration
Bingyuan Liu
Ismail Ben Ayed
Adrian Galdran
Jose Dolz
UQCV
50
68
0
30 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
96
365
0
15 Jun 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
421
21,347
0
25 Mar 2021
Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration
Christian Tomani
Daniel Cremers
Florian Buettner
UQCV
44
36
0
24 Feb 2021
Post-hoc Uncertainty Calibration for Domain Drift Scenarios
Christian Tomani
Sebastian Gruber
Muhammed Ebrar Erdem
Daniel Cremers
Florian Buettner
UQCV
156
66
0
20 Dec 2020
Energy-based Out-of-distribution Detection
Weitang Liu
Xiaoyun Wang
John Douglas Owens
Yixuan Li
OODD
265
1,354
0
08 Oct 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
312
1,727
0
29 Jun 2020
Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning
Jize Zhang
B. Kailkhura
T. Y. Han
UQCV
66
227
0
16 Mar 2020
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data
Yen-Chang Hsu
Yilin Shen
Hongxia Jin
Z. Kira
OODD
87
570
0
26 Feb 2020
Calibrating Deep Neural Networks using Focal Loss
Jishnu Mukhoti
Viveka Kulharia
Amartya Sanyal
Stuart Golodetz
Philip Torr
P. Dokania
UQCV
81
459
0
21 Feb 2020
Natural Adversarial Examples
Dan Hendrycks
Kevin Zhao
Steven Basart
Jacob Steinhardt
D. Song
OODD
193
1,465
0
16 Jul 2019
Non-Parametric Calibration for Classification
Jonathan Wenger
Hedvig Kjellström
Rudolph Triebel
UQCV
81
81
0
12 Jun 2019
When Does Label Smoothing Help?
Rafael Müller
Simon Kornblith
Geoffrey E. Hinton
UQCV
183
1,938
0
06 Jun 2019
Learning Robust Global Representations by Penalizing Local Predictive Power
Haohan Wang
Songwei Ge
Eric Xing
Zachary Chase Lipton
OOD
109
957
0
29 May 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
Dan Hendrycks
Thomas G. Dietterich
OOD
VLM
165
3,423
0
28 Mar 2019
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
401
26,365
0
05 Sep 2017
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
731
36,708
0
25 Aug 2016
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
326
7,971
0
23 May 2016
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.5K
100,213
0
04 Sep 2014
Describing Textures in the Wild
Mircea Cimpoi
Subhransu Maji
Iasonas Kokkinos
S. Mohamed
Andrea Vedaldi
3DV
108
2,661
0
14 Nov 2013
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