A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data

2 July 2024

Papers citing "A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data"

5 / 5 papers shown

Title
TeST: Test-time Self-Training under Distribution Shift Samarth Sinha Peter V. Gehler Francesco Locatello Bernt Schiele TTA OOD 24 15 0 23 Sep 2022
DANets: Deep Abstract Networks for Tabular Data Classification and Regression Jintai Chen Kuan-Yu Liao Yao Wan D. Z. Chen Jian Wu LMTD 30 48 0 06 Dec 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
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Nick Erickson Jonas W. Mueller Alexander Shirkov Hang Zhang Pedro Larroy Mu Li Alex Smola LMTD 81 576 0 13 Mar 2020
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data Sergei Popov S. Morozov Artem Babenko LMTD 80 290 0 13 Sep 2019