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Data Cleaning and Machine Learning: A Systematic Literature Review

Data Cleaning and Machine Learning: A Systematic Literature Review

3 October 2023
Pierre-Olivier Coté
Amin Nikanjam
Nafisa Ahmed
D. Humeniuk
Foutse Khomh
ArXivPDFHTML

Papers citing "Data Cleaning and Machine Learning: A Systematic Literature Review"

4 / 4 papers shown
Title
Can Foundation Models Wrangle Your Data?
Can Foundation Models Wrangle Your Data?
A. Narayan
Ines Chami
Laurel J. Orr
Simran Arora
Christopher Ré
LMTD
AI4CE
164
212
0
20 May 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
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
247
9,042
0
06 Jun 2015
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
279
39,083
0
01 Sep 2014
1