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Benchmarking Distribution Shift in Tabular Data with TableShift

Benchmarking Distribution Shift in Tabular Data with TableShift

10 December 2023
Josh Gardner
Zoran Popovic
Ludwig Schmidt
    OOD
ArXivPDFHTML

Papers citing "Benchmarking Distribution Shift in Tabular Data with TableShift"

13 / 13 papers shown
Title
Prediction Models That Learn to Avoid Missing Values
Prediction Models That Learn to Avoid Missing Values
Lena Stempfle
Anton Matsson
Newton Mwai
Fredrik D. Johansson
31
0
0
06 May 2025
Leveraging Machine Learning Models to Predict the Outcome of Digital Medical Triage Interviews
Leveraging Machine Learning Models to Predict the Outcome of Digital Medical Triage Interviews
Sofia Krylova
Fabian Schmidt
Vladimir Vlassov
29
0
0
16 Apr 2025
CAShift: Benchmarking Log-Based Cloud Attack Detection under Normality Shift
CAShift: Benchmarking Log-Based Cloud Attack Detection under Normality Shift
Jiongchi Yu
Xiaofei Xie
Q. Hu
Bowen Zhang
Ziming Zhao
Yun Lin
Lei Ma
Ruitao Feng
Frank Liau
36
0
0
12 Apr 2025
Predicting Practically? Domain Generalization for Predictive Analytics in Real-world Environments
Hanyu Duan
Yi Yang
Ahmed Abbasi
K. Tam
OOD
76
0
0
05 Mar 2025
Multi-Source and Test-Time Domain Adaptation on Multivariate Signals
  using Spatio-Temporal Monge Alignment
Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment
Théo Gnassounou
Antoine Collas
Rémi Flamary
Karim Lounici
Alexandre Gramfort
22
2
0
19 Jul 2024
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities
Yanis Lalou
Théo Gnassounou
Antoine Collas
Antoine de Mathelin
Oleksii Kachaiev
Ambroise Odonnat
Alexandre Gramfort
Thomas Moreau
Rémi Flamary
36
0
0
16 Jul 2024
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration
Hiroki Naganuma
Ryuichiro Hataya
Kotaro Yoshida
Ioannis Mitliagkas
OODD
81
1
0
17 Jul 2023
Exploring The Landscape of Distributional Robustness for Question
  Answering Models
Exploring The Landscape of Distributional Robustness for Question Answering Models
Anas Awadalla
Mitchell Wortsman
Gabriel Ilharco
Sewon Min
Ian H. Magnusson
Hannaneh Hajishirzi
Ludwig Schmidt
ELM
OOD
KELM
68
19
0
22 Oct 2022
TabTransformer: Tabular Data Modeling Using Contextual Embeddings
TabTransformer: Tabular Data Modeling Using Contextual Embeddings
Xin Huang
A. Khetan
Milan Cvitkovic
Zohar S. Karnin
ViT
LMTD
140
412
0
11 Dec 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx)
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David M. Krueger
Ethan Caballero
J. Jacobsen
Amy Zhang
Jonathan Binas
Dinghuai Zhang
Rémi Le Priol
Aaron Courville
OOD
215
888
0
02 Mar 2020
Geometric Dataset Distances via Optimal Transport
Geometric Dataset Distances via Optimal Transport
David Alvarez-Melis
Nicolò Fusi
OT
68
189
0
07 Feb 2020
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
Sergei Popov
S. Morozov
Artem Babenko
LMTD
83
290
0
13 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,927
0
20 Apr 2018
1