ReMasker: Imputing Tabular Data with Masked Autoencoding

25 September 2023

Papers citing "ReMasker: Imputing Tabular Data with Masked Autoencoding"

5 / 5 papers shown

Title
TabSeq: A Framework for Deep Learning on Tabular Data via Sequential Ordering A. Habib Kesheng Wang Mary-Anne Hartley Gianfranco Doretto Donald Adjeroh LMTD 21 1 0 17 Oct 2024
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms Trent Kyono Yao Zhang Alexis Bellot M. Schaar CML 47 61 0 04 Nov 2021
TabTransformer: Tabular Data Modeling Using Contextual Embeddings Xin Huang A. Khetan Milan Cvitkovic Zohar S. Karnin ViT LMTD 140 412 0 11 Dec 2020
MissForest - nonparametric missing value imputation for mixed-type data D. Stekhoven Peter Buhlmann 157 4,191 0 04 May 2011