ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2106.11959
  4. Cited By
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
Bag of Tricks for Multimodal AutoML with Image, Text, and Tabular Data
Bag of Tricks for Multimodal AutoML with Image, Text, and Tabular Data
Zhiqiang Tang
Zihan Zhong
Tong He
Gerald Friedland
83
0
0
19 Dec 2024
Fully Test-time Adaptation for Tabular Data
Fully Test-time Adaptation for Tabular Data
Zhi-Hua Zhou
Kun-Yang Yu
Lan-Zhe Guo
Yu Li
TTA
LMTD
92
0
0
14 Dec 2024
ContextGNN: Beyond Two-Tower Recommendation Systems
ContextGNN: Beyond Two-Tower Recommendation Systems
Yiwen Yuan
Zecheng Zhang
Xinwei He
Akihiro Nitta
Weihua Hu
...
Blaž Stojanovič
Alan Krumholz
J. E. Lenssen
J. Leskovec
Matthias Fey
62
5
0
29 Nov 2024
On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning
On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning
Anton Thielmann
Soheila Samiee
LMTD
75
1
0
26 Nov 2024
Towards Foundation Models for Critical Care Time Series
Towards Foundation Models for Critical Care Time Series
Manuel Burger
Fedor Sergeev
Malte Londschien
Daphné Chopard
Hugo Yèche
...
Zeynep Babür
Jasmina Bogojeska
M. Faltys
Rita Kuznetsova
Gunnar Rätsch
AI4TS
LM&MA
73
0
0
25 Nov 2024
Tackling prediction tasks in relational databases with LLMs
Marek Wydmuch
Łukasz Borchmann
Filip Graliñski
72
2
0
18 Nov 2024
TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data
Suiyao Chen
Jing Wu
Yunxiao Wang
Cheng Ji
Tianpei Xie
Daniel Cociorva
Michael Sharps
Cecile Levasseur
Hakan Brunzell
LMTD
36
1
0
17 Nov 2024
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts
  on Tabular Data
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data
Kai Helli
David Schnurr
Noah Hollmann
Samuel G. Müller
Frank Hutter
OOD
36
4
0
15 Nov 2024
TRACE: Transformer-based Risk Assessment for Clinical Evaluation
TRACE: Transformer-based Risk Assessment for Clinical Evaluation
Dionysis Christopoulos
Sotiris Spanos
Valsamis Ntouskos
Konstantinos Karantzalos
MedIm
23
0
0
13 Nov 2024
Filling in Missing FX Implied Volatilities with Uncertainties: Improving
  VAE-Based Volatility Imputation
Filling in Missing FX Implied Volatilities with Uncertainties: Improving VAE-Based Volatility Imputation
Achintya Gopal
16
0
0
08 Nov 2024
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling
Yury Gorishniy
Akim Kotelnikov
Artem Babenko
LMTD
MoE
92
6
0
31 Oct 2024
packetLSTM: Dynamic LSTM Framework for Streaming Data with Varying
  Feature Space
packetLSTM: Dynamic LSTM Framework for Streaming Data with Varying Feature Space
Rohit Agarwal
Karaka Prasanth Naidu
Alexander Horsch
Krishna Agarwal
D. Prasad
17
1
0
22 Oct 2024
Improving Pinterest Search Relevance Using Large Language Models
Improving Pinterest Search Relevance Using Large Language Models
Han Wang
Mukuntha Narayanan Sundararaman
Onur Gungor
Yu Xu
Krishna Kamath
Rakesh Chalasani
Kurchi Subhra Hazra
Jinfeng Rao
LRM
22
1
0
22 Oct 2024
TabSeq: A Framework for Deep Learning on Tabular Data via Sequential
  Ordering
TabSeq: A Framework for Deep Learning on Tabular Data via Sequential Ordering
A. Habib
Kesheng Wang
Mary-Anne Hartley
Gianfranco Doretto
Donald Adjeroh
LMTD
35
1
0
17 Oct 2024
A Survey on Deep Tabular Learning
A Survey on Deep Tabular Learning
Shriyank Somvanshi
Subasish Das
Syed Aaqib Javed
Gian Antariksa
Ahmed Hossain
LMTD
34
7
0
15 Oct 2024
TABCF: Counterfactual Explanations for Tabular Data Using a
  Transformer-Based VAE
TABCF: Counterfactual Explanations for Tabular Data Using a Transformer-Based VAE
Emmanouil Panagiotou
Manuel Heurich
Tim Landgraf
Eirini Ntoutsi
LMTD
18
2
0
14 Oct 2024
Distributionally robust self-supervised learning for tabular data
Distributionally robust self-supervised learning for tabular data
Shantanu Ghosh
Tiankang Xie
Mikhail Kuznetsov
OOD
24
1
0
11 Oct 2024
Neural Reasoning Networks: Efficient Interpretable Neural Networks With
  Automatic Textual Explanations
Neural Reasoning Networks: Efficient Interpretable Neural Networks With Automatic Textual Explanations
Stephen Carrow
Kyle Harper Erwin
Olga Vilenskaia
Parikshit Ram
Tim Klinger
Naweed Khan
Ndivhuwo Makondo
Alexander Gray
29
1
0
10 Oct 2024
Scalable Representation Learning for Multimodal Tabular Transactions
Scalable Representation Learning for Multimodal Tabular Transactions
Natraj Raman
Sumitra Ganesh
Manuela Veloso
LMTD
33
0
0
10 Oct 2024
LLM Embeddings Improve Test-time Adaptation to Tabular $Y|X$-Shifts
LLM Embeddings Improve Test-time Adaptation to Tabular Y∣XY|XY∣X-Shifts
Yibo Zeng
Jiashuo Liu
H. Lam
Hongseok Namkoong
LMTD
26
1
0
09 Oct 2024
T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data
T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data
Hugo Thimonier
José Lucas De Melo Costa
Fabrice Popineau
Arpad Rimmel
Bich-Liên Doan
53
1
0
07 Oct 2024
NRGBoost: Energy-Based Generative Boosted Trees
NRGBoost: Energy-Based Generative Boosted Trees
João Bravo
42
0
0
04 Oct 2024
FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic
  Fairness
FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairness
Lucas Rosenblatt
R. T. Witter
FaML
25
0
0
02 Oct 2024
TIMeSynC: Temporal Intent Modelling with Synchronized Context Encodings for Financial Service Applications
TIMeSynC: Temporal Intent Modelling with Synchronized Context Encodings for Financial Service Applications
Dwipam Katariya
Juan Manuel Origgi
Yage Wang
Thomas Caputo
AI4TS
54
0
0
01 Oct 2024
Generating peak-aware pseudo-measurements for low-voltage feeders using
  metadata of distribution system operators
Generating peak-aware pseudo-measurements for low-voltage feeders using metadata of distribution system operators
Manuel Treutlein
Marc Schmidt
Roman Hahn
Matthias Hertel
Benedikt Heidrich
Ralf Mikut
V. Hagenmeyer
24
0
0
29 Sep 2024
Gradient Boosting Decision Trees on Medical Diagnosis over Tabular Data
Gradient Boosting Decision Trees on Medical Diagnosis over Tabular Data
A. Yarkın Yıldız
Asli Kalayci
LMTD
63
3
0
25 Sep 2024
Efficient Feature Interactions with Transformers: Improving User
  Spending Propensity Predictions in Gaming
Efficient Feature Interactions with Transformers: Improving User Spending Propensity Predictions in Gaming
Ved Prakash
Kartavya Kothari
AI4TS
19
0
0
25 Sep 2024
The Credibility Transformer
The Credibility Transformer
Ronald Richman
Salvatore Scognamiglio
M. Wüthrich
31
1
0
25 Sep 2024
TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific
  Energy-Based Models
TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models
Andrei Margeloiu
Xiangjian Jiang
Nikola Simidjievski
M. Jamnik
35
5
0
24 Sep 2024
TabGraphs: A Benchmark and Strong Baselines for Learning on Graphs with
  Tabular Node Features
TabGraphs: A Benchmark and Strong Baselines for Learning on Graphs with Tabular Node Features
Gleb Bazhenov
Oleg Platonov
Liudmila Prokhorenkova
LMTD
26
1
0
22 Sep 2024
TREB: a BERT attempt for imputing tabular data imputation
TREB: a BERT attempt for imputing tabular data imputation
Shuyue Wang
Wenjun Zhou
Han drk-m-s Jiang
Shuo Wang
Ren Zheng
36
0
0
16 Sep 2024
TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure
  via Imaging and Tabular Data Mixing
TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing
Michal K. Grzeszczyk
Przemysław Korzeniowski
S. Alabed
Andrew J Swift
Tomasz Trzciñski
Arkadiusz Sitek
37
12
0
11 Sep 2024
Mamba for Scalable and Efficient Personalized Recommendations
Mamba for Scalable and Efficient Personalized Recommendations
Andrew Starnes
Clayton Webster
Mamba
35
0
0
11 Sep 2024
What to align in multimodal contrastive learning?
What to align in multimodal contrastive learning?
Benoit Dufumier
J. Castillo-Navarro
D. Tuia
Jean-Philippe Thiran
29
3
0
11 Sep 2024
GenCAD: Image-Conditioned Computer-Aided Design Generation with Transformer-Based Contrastive Representation and Diffusion Priors
GenCAD: Image-Conditioned Computer-Aided Design Generation with Transformer-Based Contrastive Representation and Diffusion Priors
Md Ferdous Alam
Faez Ahmed
DiffM
33
5
0
08 Sep 2024
Deep Feature Embedding for Tabular Data
Deep Feature Embedding for Tabular Data
Yuqian Wu
Hengyi Luo
Raymond S. T. Lee
LMTD
26
4
0
30 Aug 2024
Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach
Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach
Yifei Chen
Shenghao Zhu
Zhaojie Fang
Chang Liu
Binfeng Zou
...
Fan Jia
Feiwei Qin
Jin Fan
Yong Peng
Changmiao Wang
33
1
0
29 Aug 2024
A Comprehensive Benchmark of Machine and Deep Learning Across Diverse
  Tabular Datasets
A Comprehensive Benchmark of Machine and Deep Learning Across Diverse Tabular Datasets
Assaf Shmuel
Oren Glickman
Teddy Lazebnik
LMTD
32
4
0
27 Aug 2024
Fine-gained air quality inference based on low-quality sensing data
  using self-supervised learning
Fine-gained air quality inference based on low-quality sensing data using self-supervised learning
Meng Xu
Ke Han
Weijian Hu
Wen Ji
AI4TS
21
0
0
18 Aug 2024
Class-aware and Augmentation-free Contrastive Learning from Label
  Proportion
Class-aware and Augmentation-free Contrastive Learning from Label Proportion
Jialiang Wang
Ning Zhang
Shimin Di
Ruidong Wang
Lei Chen
21
0
0
13 Aug 2024
Mambular: A Sequential Model for Tabular Deep Learning
Mambular: A Sequential Model for Tabular Deep Learning
Anton Thielmann
Manish Kumar
Christoph Weisser
Arik Reuter
Benjamin Säfken
Soheila Samiee
Mamba
LMTD
73
6
0
12 Aug 2024
rLLM: Relational Table Learning with LLMs
rLLM: Relational Table Learning with LLMs
Weichen Li
Xiaotong Huang
Jianwu Zheng
Zheng Wang
Chaokun Wang
Li Pan
Jianhua Li
LMTD
31
2
0
29 Jul 2024
RelBench: A Benchmark for Deep Learning on Relational Databases
RelBench: A Benchmark for Deep Learning on Relational Databases
Joshua Robinson
Rishabh Ranjan
Weihua Hu
Kexin Huang
Jiaqi Han
...
J. E. Lenssen
Yiwen Yuan
Zecheng Zhang
Xinwei He
J. Leskovec
35
10
0
29 Jul 2024
Temporal Representation Learning for Stock Similarities and Its
  Applications in Investment Management
Temporal Representation Learning for Stock Similarities and Its Applications in Investment Management
Yoon-Jeong Hwang
Stefan Zohren
Yongjae Lee
AIFin
38
1
0
18 Jul 2024
Transformers with Stochastic Competition for Tabular Data Modelling
Transformers with Stochastic Competition for Tabular Data Modelling
Andreas Voskou
Charalambos Christoforou
S. Chatzis
LMTD
37
1
0
18 Jul 2024
Team up GBDTs and DNNs: Advancing Efficient and Effective Tabular
  Prediction with Tree-hybrid MLPs
Team up GBDTs and DNNs: Advancing Efficient and Effective Tabular Prediction with Tree-hybrid MLPs
Jiahuan Yan
Jintai Chen
Qianxing Wang
Danny Chen
Jian Wu
40
3
0
13 Jul 2024
MonoSparse-CAM: Harnessing Monotonicity and Sparsity for Enhanced Tree
  Model Processing on CAMs
MonoSparse-CAM: Harnessing Monotonicity and Sparsity for Enhanced Tree Model Processing on CAMs
Tergel Molom-Ochir
Brady Taylor
Hai Li
Yiran Chen
21
0
0
12 Jul 2024
DALL-M: Context-Aware Clinical Data Augmentation with LLMs
DALL-M: Context-Aware Clinical Data Augmentation with LLMs
Chihcheng Hsieh
Catarina Moreira
Isabel Blanco Nobre
Sandra Costa Sousa
Chun Ouyang
M. Brereton
Joaquim A. Jorge
Jacinto C. Nascimento
48
0
0
11 Jul 2024
TIP: Tabular-Image Pre-training for Multimodal Classification with
  Incomplete Data
TIP: Tabular-Image Pre-training for Multimodal Classification with Incomplete Data
Siyi Du
Shaoming Zheng
Yinsong Wang
Wenjia Bai
D. O’Regan
Chen Qin
LMTD
36
4
0
10 Jul 2024
A Predictive Model Based on Transformer with Statistical Feature
  Embedding in Manufacturing Sensor Dataset
A Predictive Model Based on Transformer with Statistical Feature Embedding in Manufacturing Sensor Dataset
Gyeong Taek Lee
Oh-Ran Kwon
24
0
0
09 Jul 2024
Previous
12345678
Next