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Revisiting Deep Learning Models for Tabular Data

Revisiting Deep Learning Models for Tabular Data

22 June 2021
Yu. V. Gorishniy
Ivan Rubachev
Valentin Khrulkov
Artem Babenko
    LMTD
ArXivPDFHTML

Papers citing "Revisiting Deep Learning Models for Tabular Data"

50 / 351 papers shown
Title
Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised
  Learning
Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning
Johnathan Xie
Yoonho Lee
Annie S. Chen
Chelsea Finn
25
3
0
22 Feb 2024
HyperFast: Instant Classification for Tabular Data
HyperFast: Instant Classification for Tabular Data
David Bonet
D. M. Montserrat
Xavier Giró-i-Nieto
A. Ioannidis
46
15
0
22 Feb 2024
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks
Ben Feuer
R. Schirrmeister
Valeriia Cherepanova
Chinmay Hegde
Frank Hutter
Micah Goldblum
Niv Cohen
Colin White
45
14
0
17 Feb 2024
Text-centric Alignment for Multi-Modality Learning
Text-centric Alignment for Multi-Modality Learning
Yun-Da Tsai
Ting-Yu Yen
Pei-Fu Guo
Zhe-Yan Li
Shou-De Lin
16
8
0
12 Feb 2024
Systematic Assessment of Tabular Data Synthesis Algorithms
Systematic Assessment of Tabular Data Synthesis Algorithms
Yuntao Du
Ninghui Li
35
4
0
09 Feb 2024
Weakly Supervised Anomaly Detection via Knowledge-Data Alignment
Weakly Supervised Anomaly Detection via Knowledge-Data Alignment
Haihong Zhao
Chenyi Zi
Yang Liu
Chen Zhang
Yan Zhou
Jia Li
36
7
0
06 Feb 2024
Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning
Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning
Yi Cheng
Renjun Hu
Haochao Ying
Xing Shi
Jian Wu
Wei Lin
LMTD
37
8
0
04 Feb 2024
A Survey on Self-Supervised Learning for Non-Sequential Tabular Data
A Survey on Self-Supervised Learning for Non-Sequential Tabular Data
Wei-Yao Wang
Wei-Wei Du
Derek Xu
Wei Wang
Wenjie Peng
LMTD
38
7
0
02 Feb 2024
Cloud-based XAI Services for Assessing Open Repository Models Under
  Adversarial Attacks
Cloud-based XAI Services for Assessing Open Repository Models Under Adversarial Attacks
Zerui Wang
Yan Liu
AAML
25
1
0
22 Jan 2024
MambaTab: A Plug-and-Play Model for Learning Tabular Data
MambaTab: A Plug-and-Play Model for Learning Tabular Data
Md. Atik Ahamed
Qiang Cheng
Mamba
LMTD
28
12
0
16 Jan 2024
DiConStruct: Causal Concept-based Explanations through Black-Box
  Distillation
DiConStruct: Causal Concept-based Explanations through Black-Box Distillation
Ricardo Moreira
Jacopo Bono
Mário Cardoso
Pedro Saleiro
Mário A. T. Figueiredo
P. Bizarro
CML
28
4
0
16 Jan 2024
Estimating Model Performance Under Covariate Shift Without Labels
Estimating Model Performance Under Covariate Shift Without Labels
Jakub Bialek
W. Kuberski
Nikolaos Perrakis
Albert Bifet
39
2
0
16 Jan 2024
Fusing Echocardiography Images and Medical Records for Continuous
  Patient Stratification
Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification
Nathan Painchaud
P. Courand
Pierre-Marc Jodoin
Nicolas Duchateau
Olivier Bernard
39
2
0
15 Jan 2024
Attention versus Contrastive Learning of Tabular Data -- A Data-centric
  Benchmarking
Attention versus Contrastive Learning of Tabular Data -- A Data-centric Benchmarking
S. B. Rabbani
Ivan V. Medri
Manar D. Samad
15
8
0
08 Jan 2024
Robust Calibration For Improved Weather Prediction Under Distributional
  Shift
Robust Calibration For Improved Weather Prediction Under Distributional Shift
Sankalp Gilda
Neel Bhandari
Wendy Mak
Andrea Panizza
UQCV
OOD
11
1
0
08 Jan 2024
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy
  and Directions
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions
Cheng-Te Li
Yu-Che Tsai
Chih-Yao Chen
Jay Chiehen Liao
LMTD
AI4CE
33
7
0
04 Jan 2024
SwitchTab: Switched Autoencoders Are Effective Tabular Learners
SwitchTab: Switched Autoencoders Are Effective Tabular Learners
Jing Wu
Suiyao Chen
Qi Zhao
Renat Sergazinov
Chen Li
...
Tianpei Xie
Hanqing Guo
Cheng Ji
Daniel Cociorva
Hakan Brunzel
SSL
56
37
0
04 Jan 2024
On the selection and effectiveness of pseudo-absences for species
  distribution modeling with deep learning
On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learning
Robin Zbinden
Nina Van Tiel
B. Kellenberger
L. Hughes
D. Tuia
22
11
0
03 Jan 2024
Improve Fidelity and Utility of Synthetic Credit Card Transaction Time
  Series from Data-centric Perspective
Improve Fidelity and Utility of Synthetic Credit Card Transaction Time Series from Data-centric Perspective
Din-Yin Hsieh
ChiHua Wang
Guang Cheng
AI4TS
26
5
0
01 Jan 2024
Comparative Evaluation of Anomaly Detection Methods for Fraud Detection
  in Online Credit Card Payments
Comparative Evaluation of Anomaly Detection Methods for Fraud Detection in Online Credit Card Payments
Hugo Thimonier
Fabrice Popineau
Arpad Rimmel
Bich-Liên Doan
Fabrice Daniel
24
6
0
21 Dec 2023
Can Physician Judgment Enhance Model Trustworthiness? A Case Study on
  Predicting Pathological Lymph Nodes in Rectal Cancer
Can Physician Judgment Enhance Model Trustworthiness? A Case Study on Predicting Pathological Lymph Nodes in Rectal Cancer
Kazuma Kobayashi
Yasuyuki Takamizawa
M. Miyake
Sono Ito
Lin Gu
Tatsuya Nakatsuka
Yu Akagi
Tatsuya Harada
Y. Kanemitsu
Ryuji Hamamoto
32
2
0
15 Dec 2023
Benchmarking Distribution Shift in Tabular Data with TableShift
Benchmarking Distribution Shift in Tabular Data with TableShift
Josh Gardner
Zoran Popovic
Ludwig Schmidt
OOD
24
32
0
10 Dec 2023
Labrador: Exploring the Limits of Masked Language Modeling for
  Laboratory Data
Labrador: Exploring the Limits of Masked Language Modeling for Laboratory Data
David R. Bellamy
Bhawesh Kumar
Cindy Wang
Andrew L. Beam
MedIm
30
3
0
09 Dec 2023
Relational Deep Learning: Graph Representation Learning on Relational
  Databases
Relational Deep Learning: Graph Representation Learning on Relational Databases
Matthias Fey
Weihua Hu
Kexin Huang
J. E. Lenssen
Rishabh Ranjan
Joshua Robinson
Rex Ying
Jiaxuan You
J. Leskovec
GNN
42
30
0
07 Dec 2023
Simplifying Neural Network Training Under Class Imbalance
Simplifying Neural Network Training Under Class Imbalance
Ravid Shwartz-Ziv
Micah Goldblum
Yucen Lily Li
C. Bayan Bruss
Andrew Gordon Wilson
31
14
0
05 Dec 2023
GFS: Graph-based Feature Synthesis for Prediction over Relational
  Databases
GFS: Graph-based Feature Synthesis for Prediction over Relational Databases
Han Zhang
Quan Gan
David Wipf
Weinan Zhang
23
6
0
04 Dec 2023
Wild-Tab: A Benchmark For Out-Of-Distribution Generalization In Tabular
  Regression
Wild-Tab: A Benchmark For Out-Of-Distribution Generalization In Tabular Regression
Sergey Kolesnikov
CML
OOD
17
4
0
04 Dec 2023
Classification of Tabular Data by Text Processing
Classification of Tabular Data by Text Processing
Keshav Ramani
Daniel Borrajo
LMTD
14
0
0
21 Nov 2023
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly
  Generation
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation
Hao Dong
Gaëtan Frusque
Yue Zhao
Eleni Chatzi
Olga Fink
AAML
35
5
0
20 Nov 2023
Leveraging Uncertainty Estimates To Improve Classifier Performance
Leveraging Uncertainty Estimates To Improve Classifier Performance
Gundeep Arora
S. Merugu
Anoop Saladi
R. Rastogi
22
1
0
20 Nov 2023
Unveiling the Power of Self-Attention for Shipping Cost Prediction: The
  Rate Card Transformer
Unveiling the Power of Self-Attention for Shipping Cost Prediction: The Rate Card Transformer
Aditya Sreekar
Berrin Yanıko˘glu
Varun Madhavan
Abhishek Persad
12
0
0
20 Nov 2023
Tabular Few-Shot Generalization Across Heterogeneous Feature Spaces
Tabular Few-Shot Generalization Across Heterogeneous Feature Spaces
Max Zhu
Katarzyna Kobalczyk
Andrija Petrović
Mladen Nikolic
M. Schaar
Boris Delibasic
Petro Lio
25
2
0
16 Nov 2023
Self-supervised learning of multi-omics embeddings in the low-label,
  high-data regime
Self-supervised learning of multi-omics embeddings in the low-label, high-data regime
Christian John Hurry
Emma Slade
32
0
0
16 Nov 2023
Model Agnostic Explainable Selective Regression via Uncertainty
  Estimation
Model Agnostic Explainable Selective Regression via Uncertainty Estimation
Andrea Pugnana
Carlos Mougan
Dan Saattrup Nielsen
46
0
0
15 Nov 2023
On the Importance of Step-wise Embeddings for Heterogeneous Clinical
  Time-Series
On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series
Rita Kuznetsova
Alizée Pace
Manuel Burger
Hugo Yèche
Gunnar Rätsch
AI4TS
39
5
0
15 Nov 2023
Tabdoor: Backdoor Vulnerabilities in Transformer-based Neural Networks
  for Tabular Data
Tabdoor: Backdoor Vulnerabilities in Transformer-based Neural Networks for Tabular Data
Bart Pleiter
Behrad Tajalli
Stefanos Koffas
Gorka Abad
Jing Xu
Martha Larson
S. Picek
LMTD
AAML
42
1
0
13 Nov 2023
Fine-Tuning the Retrieval Mechanism for Tabular Deep Learning
Fine-Tuning the Retrieval Mechanism for Tabular Deep Learning
Felix den Breejen
Sangmin Bae
Stephen Cha
Tae-Young Kim
Seoung Hyun Koh
SeYoung Yun
35
3
0
13 Nov 2023
Knowledge Graph Representations to enhance Intensive Care Time-Series
  Predictions
Knowledge Graph Representations to enhance Intensive Care Time-Series Predictions
Samyak Jain
Manuel Burger
Gunnar Rätsch
Rita Kuznetsova
11
3
0
13 Nov 2023
Enhancing Actuarial Non-Life Pricing Models via Transformers
Enhancing Actuarial Non-Life Pricing Models via Transformers
Alexej Brauer
24
3
0
10 Nov 2023
A Performance-Driven Benchmark for Feature Selection in Tabular Deep
  Learning
A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning
Valeriia Cherepanova
Roman Levin
Gowthami Somepalli
Jonas Geiping
C. Bayan Bruss
Andrew Gordon Wilson
Tom Goldstein
Micah Goldblum
28
18
0
10 Nov 2023
TabRepo: A Large Scale Repository of Tabular Model Evaluations and its
  AutoML Applications
TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications
David Salinas
Nick Erickson
24
10
0
06 Nov 2023
Language Model Training Paradigms for Clinical Feature Embeddings
Language Model Training Paradigms for Clinical Feature Embeddings
Yurong Hu
Manuel Burger
Gunnar Rätsch
Rita Kuznetsova
33
0
0
01 Nov 2023
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open
  Challenges and Interdisciplinary Research Directions
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions
Luca Longo
Mario Brcic
Federico Cabitza
Jaesik Choi
Roberto Confalonieri
...
Andrés Páez
Wojciech Samek
Johannes Schneider
Timo Speith
Simone Stumpf
32
189
0
30 Oct 2023
ReConTab: Regularized Contrastive Representation Learning for Tabular
  Data
ReConTab: Regularized Contrastive Representation Learning for Tabular Data
Suiyao Chen
Jing Wu
N. Hovakimyan
Handong Yao
39
33
0
28 Oct 2023
RDBench: ML Benchmark for Relational Databases
Zizhao Zhang
Yi Yang
Lutong Zou
He Wen
Tao Feng
Jiaxuan You
25
2
0
25 Oct 2023
Unlocking the Transferability of Tokens in Deep Models for Tabular Data
Unlocking the Transferability of Tokens in Deep Models for Tabular Data
Qi-Le Zhou
Han-Jia Ye
Le-Ye Wang
De-Chuan Zhan
29
7
0
23 Oct 2023
Learning Interpretable Rules for Scalable Data Representation and
  Classification
Learning Interpretable Rules for Scalable Data Representation and Classification
Zhuo Wang
Wei Zhang
Ning Liu
Jianyong Wang
30
6
0
22 Oct 2023
FATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data
FATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data
Dongyu Zhang
Liang Wang
Xin Dai
Shubham Jain
Junpeng Wang
Yujie Fan
Chin-Chia Michael Yeh
Yan Zheng
Zhongfang Zhuang
Wei Zhang
LMTD
AI4TS
57
9
0
20 Oct 2023
Fairer and More Accurate Tabular Models Through NAS
Fairer and More Accurate Tabular Models Through NAS
Richeek Das
Samuel Dooley
23
4
0
18 Oct 2023
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent
  Space
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space
Hengrui Zhang
Jiani Zhang
Balasubramaniam Srinivasan
Zhengyuan Shen
Xiao Qin
Christos Faloutsos
Huzefa Rangwala
George Karypis
DiffM
31
82
0
14 Oct 2023
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