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. 2205.09328
  4. Cited By
TransTab: Learning Transferable Tabular Transformers Across Tables

TransTab: Learning Transferable Tabular Transformers Across Tables

19 May 2022
Zifeng Wang
Jimeng Sun
    LMTD
ArXivPDFHTML

Papers citing "TransTab: Learning Transferable Tabular Transformers Across Tables"

49 / 49 papers shown
Title
Griffin: Towards a Graph-Centric Relational Database Foundation Model
Griffin: Towards a Graph-Centric Relational Database Foundation Model
Yanbo Wang
Xiyuan Wang
Quan Gan
Minjie Wang
Qibin Yang
David Wipf
Muhan Zhang
27
0
0
08 May 2025
No Imputation of Missing Values In Tabular Data Classification Using Incremental Learning
No Imputation of Missing Values In Tabular Data Classification Using Incremental Learning
Manar D. Samad
Kazi Fuad B. Akhter
S. B. Rabbani
Ibna Kowsar
19
0
0
20 Apr 2025
Representation Learning for Tabular Data: A Comprehensive Survey
Representation Learning for Tabular Data: A Comprehensive Survey
Jun-Peng Jiang
Si-Yang Liu
Hao-Run Cai
Qile Zhou
Han-Jia Ye
LMTD
35
0
0
17 Apr 2025
Datum-wise Transformer for Synthetic Tabular Data Detection in the Wild
Datum-wise Transformer for Synthetic Tabular Data Detection in the Wild
G. C. N. Kindji
Elisa Fromont
L. Rojas-Barahona
Tanguy Urvoy
25
0
0
10 Apr 2025
TabKAN: Advancing Tabular Data Analysis using Kolmogorov-Arnold Network
TabKAN: Advancing Tabular Data Analysis using Kolmogorov-Arnold Network
Ali Eslamian
Alireza Afzal Aghaei
Qiang Cheng
LMTD
73
0
0
09 Apr 2025
TabNSA: Native Sparse Attention for Efficient Tabular Data Learning
Ali Eslamian
Qiang Cheng
38
0
0
12 Mar 2025
Synthetic Tabular Data Detection In the Wild
G. C. N. Kindji
Elisa Fromont
L. Rojas-Barahona
Tanguy Urvoy
LMTD
53
1
0
03 Mar 2025
TabGLM: Tabular Graph Language Model for Learning Transferable Representations Through Multi-Modal Consistency Minimization
TabGLM: Tabular Graph Language Model for Learning Transferable Representations Through Multi-Modal Consistency Minimization
Anay Majee
Maria Xenochristou
Wei-Peng Chen
LMTD
41
0
0
26 Feb 2025
In-context learning of evolving data streams with tabular foundational models
In-context learning of evolving data streams with tabular foundational models
Afonso Lourenço
João Gama
Eric P. Xing
Goreti Marreiros
48
0
0
24 Feb 2025
Data Analysis Prediction over Multiple Unseen Datasets: A Vector Embedding Approach
Data Analysis Prediction over Multiple Unseen Datasets: A Vector Embedding Approach
Andreas Loizou
Dimitrios Tsoumakos
26
0
0
24 Feb 2025
Tabular Embeddings for Tables with Bi-Dimensional Hierarchical Metadata and Nesting
Tabular Embeddings for Tables with Bi-Dimensional Hierarchical Metadata and Nesting
Gyanendra Shrestha
Chutain Jiang
Sai Akula
Vivek Yannam
Anna Pyayt
Michael Gubanov
LMTD
89
0
0
20 Feb 2025
LLM Embeddings for Deep Learning on Tabular Data
LLM Embeddings for Deep Learning on Tabular Data
Boshko Koloski
Andrei Margeloiu
Xiangjian Jiang
Blaž Škrlj
Nikola Simidjievski
M. Jamnik
LMTD
72
0
0
17 Feb 2025
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems
Si-Yang Liu
Han-Jia Ye
61
5
0
04 Feb 2025
Zero-Shot Decision Tree Construction via Large Language Models
Lucas Carrasco
Felipe Urrutia
Andrés Abeliuk
58
0
0
28 Jan 2025
Cross-table Synthetic Tabular Data Detection
Cross-table Synthetic Tabular Data Detection
G. C. N. Kindji
L. Rojas-Barahona
Elisa Fromont
Tanguy Urvoy
LMTD
73
0
0
17 Dec 2024
APAR: Modeling Irregular Target Functions in Tabular Regression via
  Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning
APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning
Hong-Wei Wu
Wei Wang
Kuang-Da Wang
Wen-Chih Peng
LMTD
81
0
0
14 Dec 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
26
1
0
17 Nov 2024
Gradient Boosting Trees and Large Language Models for Tabular Data
  Few-Shot Learning
Gradient Boosting Trees and Large Language Models for Tabular Data Few-Shot Learning
Carlos Huertas
LMTD
30
1
0
06 Nov 2024
Enriching Tabular Data with Contextual LLM Embeddings: A Comprehensive
  Ablation Study for Ensemble Classifiers
Enriching Tabular Data with Contextual LLM Embeddings: A Comprehensive Ablation Study for Ensemble Classifiers
Gjergji Kasneci
Enkelejda Kasneci
LMTD
26
1
0
03 Nov 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
21
7
0
15 Oct 2024
Scalable Representation Learning for Multimodal Tabular Transactions
Scalable Representation Learning for Multimodal Tabular Transactions
Natraj Raman
Sumitra Ganesh
Manuela Veloso
LMTD
19
0
0
10 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
46
1
0
07 Oct 2024
TrialSynth: Generation of Synthetic Sequential Clinical Trial Data
TrialSynth: Generation of Synthetic Sequential Clinical Trial Data
Chufan Gao
Mandis Beigi
Afrah Shafquat
Jacob Aptekar
Jimeng Sun
14
0
0
11 Sep 2024
DeTPP: Leveraging Object Detection for Robust Long-Horizon Event
  Prediction
DeTPP: Leveraging Object Detection for Robust Long-Horizon Event Prediction
Ivan Karpukhin
Andrey Savchenko
13
1
0
23 Aug 2024
Language Modeling on Tabular Data: A Survey of Foundations, Techniques
  and Evolution
Language Modeling on Tabular Data: A Survey of Foundations, Techniques and Evolution
Yucheng Ruan
Xiang Lan
Jingying Ma
Yizhi Dong
Kai He
Mengling Feng
LMTD
60
3
0
20 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
56
6
0
12 Aug 2024
Tabular Transfer Learning via Prompting LLMs
Tabular Transfer Learning via Prompting LLMs
Jaehyun Nam
Woomin Song
Seong Hyeon Park
Jihoon Tack
Sukmin Yun
Jaehyung Kim
Kyu Hwan Oh
Jinwoo Shin
RALM
LMTD
VPVLM
29
2
0
09 Aug 2024
Tabular Data Augmentation for Machine Learning: Progress and Prospects
  of Embracing Generative AI
Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI
Lingxi Cui
Huan Li
Ke Chen
Alexander Lerch
Gang Chen
LMTD
66
14
0
31 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
D. Z. Chen
Jian Wu
16
3
0
13 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
29
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
23
3
0
10 Jul 2024
PTaRL: Prototype-based Tabular Representation Learning via Space
  Calibration
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration
Hangting Ye
Wei Fan
Xiaozhuang Song
Shun Zheng
He Zhao
Dandan Guo
Yi Chang
OOD
27
18
0
07 Jul 2024
Artificial Inductive Bias for Synthetic Tabular Data Generation in
  Data-Scarce Scenarios
Artificial Inductive Bias for Synthetic Tabular Data Generation in Data-Scarce Scenarios
Patricia A. Apellániz
Ana Jiménez
Borja Arroyo Galende
J. Parras
Santiago Zazo
33
0
0
03 Jul 2024
A Data-Centric Perspective on Evaluating Machine Learning Models for
  Tabular Data
A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data
Andrej Tschalzev
Sascha Marton
Stefan Lüdtke
Christian Bartelt
Heiner Stuckenschmidt
LMTD
18
1
0
02 Jul 2024
HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting?
HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting?
Ivan Karpukhin
F. Shipilov
Andrey Savchenko
AI4TS
25
4
0
20 Jun 2024
Unveiling the Hidden Structure of Self-Attention via Kernel Principal
  Component Analysis
Unveiling the Hidden Structure of Self-Attention via Kernel Principal Component Analysis
R. Teo
Tan M. Nguyen
35
4
0
19 Jun 2024
A Comprehensive Survey on Data Augmentation
A Comprehensive Survey on Data Augmentation
Zaitian Wang
Pengfei Wang
Kunpeng Liu
Pengyang Wang
Yanjie Fu
Chang-Tien Lu
Charu Aggarwal
Jian Pei
Yuanchun Zhou
ViT
85
18
0
15 May 2024
UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model
  in Data Science
UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science
Yazheng Yang
Yuqi Wang
Guangyi Liu
Ledell Yu Wu
Qi Liu
LMTD
19
15
0
18 Jul 2023
Rethinking Data Augmentation for Tabular Data in Deep Learning
Rethinking Data Augmentation for Tabular Data in Deep Learning
Soma Onishi
Shoya Meguro
LMTD
10
14
0
17 May 2023
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with
  Meta-Learning
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning
Zifeng Wang
Cao Xiao
Jimeng Sun
6
17
0
07 Apr 2023
P-Transformer: A Prompt-based Multimodal Transformer Architecture For Medical Tabular Data
P-Transformer: A Prompt-based Multimodal Transformer Architecture For Medical Tabular Data
Y. Ruan
Xiang Lan
Daniel J. Tan
H. Abdullah
Mengling Feng
LMTD
MedIm
23
1
0
30 Mar 2023
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text
Zifeng Wang
Zhenbang Wu
Dinesh Agarwal
Jimeng Sun
CLIP
VLM
MedIm
8
387
0
18 Oct 2022
Transfer Learning with Deep Tabular Models
Transfer Learning with Deep Tabular Models
Roman Levin
Valeriia Cherepanova
Avi Schwarzschild
Arpit Bansal
C. B. Bruss
Tom Goldstein
A. Wilson
Micah Goldblum
OOD
FedML
LMTD
63
58
0
30 Jun 2022
DANets: Deep Abstract Networks for Tabular Data Classification and
  Regression
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
Masked Autoencoders Are Scalable Vision Learners
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
SurvTRACE: Transformers for Survival Analysis with Competing Events
SurvTRACE: Transformers for Survival Analysis with Competing Events
Zifeng Wang
Jimeng Sun
27
67
0
02 Oct 2021
VATT: Transformers for Multimodal Self-Supervised Learning from Raw
  Video, Audio and Text
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
Hassan Akbari
Liangzhe Yuan
Rui Qian
Wei-Hong Chuang
Shih-Fu Chang
Yin Cui
Boqing Gong
ViT
229
573
0
22 Apr 2021
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
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
29,632
0
16 Jan 2013
1