STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables

2 March 2023

Papers citing "STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables"

31 / 31 papers shown

Title
Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification Ruxue Shi Hengrui Gu Xu Shen Xin Wang LMTD 172 0 0 09 May 2025
Latte: Transfering LLMs` Latent-level Knowledge for Few-shot Tabular Learning Ruxue Shi Hengrui Gu Hangting Ye Yiwei Dai Xu Shen Xin Wang LMTD 63 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 32 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 61 0 0 18 Mar 2025
Large Language Models as Attribution Regularizers for Efficient Model Training Davor Vukadin Marin Šilić Goran Delač 41 0 0 27 Feb 2025
Transfer Learning of Tabular Data by Finetuning Large Language Models S. B. Rabbani Ibna Kowsar Manar D. Samad LMTD 48 1 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 65 3 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 36 2 0 09 Aug 2024
TabularFM: An Open Framework For Tabular Foundational Models Quan M. Tran Suong N. Hoang Lam M. Nguyen Dzung Phan Hoang Thanh Lam LMTD 32 1 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 39 9 0 12 Jun 2024
Data-Efficient Molecular Generation with Hierarchical Textual Inversion Seojin Kim Jaehyun Nam Sihyun Yu Younghoon Shin Jinwoo Shin 40 2 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 28 1 0 26 Apr 2024
Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning Sungwon Han Jinsung Yoon Sercan Ö. Arik Tomas Pfister LMTD 40 23 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 38 7 0 02 Feb 2024
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
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
Fine-Tuning the Retrieval Mechanism for Tabular Deep Learning Felix den Breejen Sangmin Bae Stephen Cha Tae-Young Kim Seoung Hyun Koh SeYoung Yun 32 3 0 13 Nov 2023
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 26 18 0 10 Nov 2023
Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning Geri Skenderi Luigi Capogrosso Andrea Toaiari Matteo Denitto Franco Fummi Simone Melzi Marco Cristani OOD 31 0 0 13 Oct 2023
From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language Models Xumeng Wen Han Zhang Shun Zheng Wei Xu Jiang Bian LMTD ALM 73 20 0 11 Oct 2023
StructChart: Perception, Structuring, Reasoning for Visual Chart Understanding Renqiu Xia Bo-Wen Zhang Hao Peng Hancheng Ye Xiangchao Yan Peng Ye Botian Shi Yu Qiao Junchi Yan 14 0 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 18 1 0 31 Jul 2023
TablEye: Seeing small Tables through the Lens of Images Seungeun Lee Sang-Chul Lee LMTD 21 1 0 04 Jul 2023
MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement Zifeng Wang Chufan Gao Cao Xiao Jimeng Sun LMTD 25 12 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 23 24 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 19 5 0 11 Nov 2022
Meta-Learning with Self-Improving Momentum Target Jihoon Tack Jongjin Park Hankook Lee Jaeho Lee Jinwoo Shin LRM 60 12 0 11 Oct 2022
Transfer Learning with Deep Tabular Models Roman Levin Valeriia Cherepanova Avi Schwarzschild Arpit Bansal C. Bayan Bruss Tom Goldstein A. Wilson Micah Goldblum OOD FedML LMTD 75 58 0 30 Jun 2022
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 262 656 0 23 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 261 1,275 0 06 Mar 2017