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2303.00918
Cited By
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
International Conference on Learning Representations (ICLR), 2023
2 March 2023
Jaehyun Nam
Jihoon Tack
Kyungmin Lee
Hankook Lee
Jinwoo Shin
LMTD
SSL
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Papers citing
"STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables"
33 / 33 papers shown
iLTM: Integrated Large Tabular Model
David Bonet
Marçal Comajoan Cara
Alvaro Calafell
D. M. Montserrat
A. Ioannidis
LMTD
PINN
352
0
0
20 Nov 2025
TabDistill: Distilling Transformers into Neural Nets for Few-Shot Tabular Classification
Pasan Dissanayake
Sanghamitra Dutta
LMTD
365
0
0
07 Nov 2025
ReviewScore: Misinformed Peer Review Detection with Large Language Models
Hyun Ryu
Doohyuk Jang
Hyemin S. Lee
Joonhyun Jeong
Gyeongman Kim
...
Kwanhyung Lee
Chanjae Park
Heecheol Yun
Gregor Betz
Eunho Yang
139
0
0
25 Sep 2025
Summarize-Exemplify-Reflect: Data-driven Insight Distillation Empowers LLMs for Few-shot Tabular Classification
Yifei Yuan
Jiatong Li
Weijia Zhang
Mohammad Aliannejadi
Evangelos Kanoulas
Renjun Hu
LMTD
127
0
0
29 Aug 2025
Robust Detection of Synthetic Tabular Data under Schema Variability
G. C. N. Kindji
Elisa Fromont
L. Rojas-Barahona
Tanguy Urvoy
LMTD
112
0
0
27 Aug 2025
LLM Empowered Prototype Learning for Zero and Few-Shot Tasks on Tabular Data
Peng Wang
Dongsheng Wang
He Zhao
Hangting Ye
Dandan Guo
Yi Chang
LMTD
188
0
0
12 Aug 2025
Self-supervised learning on gene expression data
Kevin Dradjat
Massinissa Hamidi
Pierre Bartet
Blaise Hanczar
SSL
177
1
0
18 Jul 2025
Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification
Ruxue Shi
Hengrui Gu
Xu Shen
Xin Wang
LMTD
856
0
0
09 May 2025
Latte: Transfering LLMs` Latent-level Knowledge for Few-shot Tabular Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2025
Ruxue Shi
Hengrui Gu
Hangting Ye
Yiwei Dai
Xu Shen
Xin Wang
LMTD
349
0
0
08 May 2025
Datum-wise Transformer for Synthetic Tabular Data Detection in the Wild
G. C. N. Kindji
Elisa Fromont
L. Rojas-Barahona
Tanguy Urvoy
230
0
0
10 Apr 2025
LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers
Nikhil Abhyankar
Parshin Shojaee
Chandan K. Reddy
361
10
0
18 Mar 2025
Large Language Models as Attribution Regularizers for Efficient Model Training
Davor Vukadin
Marin Šilić
Goran Delač
553
0
0
27 Feb 2025
Transfer Learning of Tabular Data by Finetuning Large Language Models
International Conference on Electrical and Control Engineering (ICECE), 2024
S. B. Rabbani
Ibna Kowsar
Manar D. Samad
LMTD
289
3
0
12 Jan 2025
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
315
21
0
20 Aug 2024
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
386
8
0
09 Aug 2024
TabularFM: An Open Framework For Tabular Foundational Models
BigData Congress [Services Society] (BSS), 2024
Quan M. Tran
Suong N. Hoang
Lam M. Nguyen
Dzung Phan
Hoang Thanh Lam
LMTD
242
2
0
14 Jun 2024
Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning
Jaehyun Nam
Kyuyoung Kim
Seunghyuk Oh
Jihoon Tack
Jaehyung Kim
Jinwoo Shin
LMTD
317
32
0
12 Jun 2024
Data-Efficient Molecular Generation with Hierarchical Textual Inversion
International Conference on Machine Learning (ICML), 2024
Seojin Kim
Jaehyun Nam
Sihyun Yu
Younghoon Shin
Jinwoo Shin
381
6
0
05 May 2024
Tabular Data Contrastive Learning via Class-Conditioned and Feature-Correlation Based Augmentation
Wei Cui
Rasa Hosseinzadeh
Junwei Ma
Tongzi Wu
Yi Sui
Keyvan Golestan
255
4
0
26 Apr 2024
Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning
Sungwon Han
Chang Jo Kim
Sercan O. Arik
Tomas Pfister
LMTD
278
62
0
15 Apr 2024
A Survey on Self-Supervised Learning for Non-Sequential Tabular Data
Wei-Yao Wang
Wei-Wei Du
Derek Xu
Wei Wang
Wenjie Peng
LMTD
271
21
0
02 Feb 2024
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions
ACM Computing Surveys (ACM CSUR), 2024
Cheng-Te Li
Yu-Che Tsai
Chih-Yao Chen
Jay Chiehen Liao
LMTD
AI4CE
252
26
0
04 Jan 2024
Tabular Few-Shot Generalization Across Heterogeneous Feature Spaces
Max Zhu
Katarzyna Kobalczyk
Andrija Petrović
Mladen Nikolic
M. Schaar
Boris Delibasic
Petro Lio
229
4
0
16 Nov 2023
Fine-Tuning the Retrieval Mechanism for Tabular Deep Learning
Felix den Breejen
Sangmin Bae
Stephen Cha
Tae-Young Kim
Seoung Hyun Koh
SeYoung Yun
178
6
0
13 Nov 2023
A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning
Neural Information Processing Systems (NeurIPS), 2023
Valeriia Cherepanova
Roman Levin
Gowthami Somepalli
Jonas Geiping
C. Bayan Bruss
Andrew Gordon Wilson
Tom Goldstein
Micah Goldblum
188
30
0
10 Nov 2023
Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning
Geri Skenderi
Luigi Capogrosso
Andrea Toaiari
Matteo Denitto
Franco Fummi
Simone Melzi
OOD
354
0
0
13 Oct 2023
From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language Models
Knowledge Discovery and Data Mining (KDD), 2023
Xumeng Wen
Han Zhang
Shun Zheng
Wei Xu
Jiang Bian
LMTD
ALM
441
26
0
11 Oct 2023
StructChart: Perception, Structuring, Reasoning for Visual Chart Understanding
Renqiu Xia
Bo Zhang
Hao Peng
Hancheng Ye
Xiangchao Yan
Peng Ye
Ding Wang
Yu Qiao
Junchi Yan
372
14
0
20 Sep 2023
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity
Charlie Hou
K. K. Thekumparampil
Michael Shavlovsky
Giulia Fanti
Yesh Dattatreya
Sujay Sanghavi
LMTD
554
2
0
31 Jul 2023
TablEye: Seeing small Tables through the Lens of Images
Seungeun Lee
Sang-Chul Lee
LMTD
244
2
0
04 Jul 2023
MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Zifeng Wang
Chufan Gao
Cao Xiao
Jimeng Sun
LMTD
274
31
0
20 May 2023
CancerGPT: Few-shot Drug Pair Synergy Prediction using Large Pre-trained Language Models
Tianhao Li
Sandesh Shetty
Advaith Kamath
A. Jaiswal
Xian-Wei Jiang
Ying Ding
Yejin Kim
LM&MA
152
26
0
18 Apr 2023
GCondNet: A Novel Method for Improving Neural Networks on Small High-Dimensional Tabular Data
Andrei Margeloiu
Nikola Simidjievski
Pietro Lio
M. Jamnik
DD
AI4CE
385
5
0
11 Nov 2022
1
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