Data Cleaning and Machine Learning: A Systematic Literature Review

3 October 2023

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

6 / 6 papers shown

Title
Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmark Thomas George Pierre Nodet A. Bondu Vincent Lemaire VLM 30 0 0 21 Oct 2024
Can Foundation Models Wrangle Your Data? A. Narayan Ines Chami Laurel J. Orr Simran Arora Christopher Ré LMTD AI4CE 176 213 0 20 May 2022
How to avoid machine learning pitfalls: a guide for academic researchers M. Lones VLM FaML OnRL 54 77 0 05 Aug 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 279 9,136 0 06 Jun 2015
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 296 39,194 0 01 Sep 2014