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Dropout-Based Rashomon Set Exploration for Efficient Predictive
  Multiplicity Estimation

Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation

1 February 2024
Hsiang Hsu
Guihong Li
Shaohan Hu
Chun-Fu Chen
Chen
ArXivPDFHTML

Papers citing "Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation"

5 / 5 papers shown
Title
The Curious Case of Arbitrariness in Machine Learning
Prakhar Ganesh
Afaf Taik
G. Farnadi
59
2
0
28 Jan 2025
An Experimental Study on the Rashomon Effect of Balancing Methods in
  Imbalanced Classification
An Experimental Study on the Rashomon Effect of Balancing Methods in Imbalanced Classification
Mustafa Cavus
Przemysław Biecek
23
7
0
22 Mar 2024
Exploring the Whole Rashomon Set of Sparse Decision Trees
Exploring the Whole Rashomon Set of Sparse Decision Trees
Rui Xin
Chudi Zhong
Zhi Chen
Takuya Takagi
Margo Seltzer
Cynthia Rudin
33
54
0
16 Sep 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
282
9,136
0
06 Jun 2015
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,634
0
03 Jul 2012
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