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2011.09588
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Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification
18 November 2020
Youngseog Chung
Willie Neiswanger
I. Char
J. Schneider
UQCV
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Papers citing
"Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification"
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-Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception
Dhaivat Bhatt
Kaustubh Mani
Dishank Bansal
Krishna Murthy Jatavallabhula
Hanju Lee
Liam Paull
UQCV
93
5
0
28 Sep 2021
Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification
Youngseog Chung
I. Char
Han Guo
J. Schneider
Willie Neiswanger
93
72
0
21 Sep 2021
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning
Paul Pu Liang
Yiwei Lyu
Xiang Fan
Zetian Wu
Yun Cheng
...
Peter Wu
Michelle A. Lee
Yuke Zhu
Ruslan Salakhutdinov
Louis-Philippe Morency
VLM
111
172
0
15 Jul 2021
How to Evaluate Uncertainty Estimates in Machine Learning for Regression?
Laurens Sluijterman
Eric Cator
Tom Heskes
UQCV
75
24
0
07 Jun 2021
Improving Conditional Coverage via Orthogonal Quantile Regression
Shai Feldman
Stephen Bates
Yaniv Romano
121
43
0
01 Jun 2021
DEUP: Direct Epistemic Uncertainty Prediction
Salem Lahlou
Moksh Jain
Hadi Nekoei
V. Butoi
Paul Bertin
Jarrid Rector-Brooks
Maksym Korablyov
Yoshua Bengio
PER
UQLM
UQCV
UD
321
94
0
16 Feb 2021
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