SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning

8 October 2021

Papers citing "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"

50 / 79 papers shown

Title
Representation Learning for Tabular Data: A Comprehensive Survey Jun-Peng Jiang Si-Yang Liu Hao-Run Cai Qile Zhou Han-Jia Ye LMTD 38 0 0 17 Apr 2025
Continual Contrastive Learning on Tabular Data with Out of Distribution Achmad Ginanjar Xue Li Priyanka Singh Wen Hua LMTD 62 0 0 19 Mar 2025
TabGLM: Tabular Graph Language Model for Learning Transferable Representations Through Multi-Modal Consistency Minimization Anay Majee Maria Xenochristou Wei-Peng Chen LMTD 43 0 0 26 Feb 2025
Contrastive Federated Learning with Tabular Data Silos Achmad Ginanjar Xue Li Wen Hua Jiaming Pei FedML 68 2 0 17 Feb 2025
Representation Learning on Out of Distribution in Tabular Data Achmad Ginanjar Xue Li Priyanka Singh Wen Hua LMTD 105 0 0 17 Feb 2025
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
A Survey on Deep Tabular Learning Shriyank Somvanshi Subasish Das Syed Aaqib Javed Gian Antariksa Ahmed Hossain LMTD 24 7 0 15 Oct 2024
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
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 62 3 0 20 Aug 2024
Class-aware and Augmentation-free Contrastive Learning from Label Proportion Jialiang Wang Ning Zhang Shimin Di Ruidong Wang Lei Chen 16 0 0 13 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 29 2 0 09 Aug 2024
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 28 3 0 10 Jul 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 28 9 0 12 Jun 2024
CTSyn: A Foundational Model for Cross Tabular Data Generation Xiaofeng Lin Chenheng Xu Matthew Yang Guang Cheng 32 3 0 07 Jun 2024
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach Huy V. Vo Vasil Khalidov Timothée Darcet Théo Moutakanni Nikita Smetanin ... Maxime Oquab Armand Joulin Hervé Jégou Patrick Labatut Piotr Bojanowski SSL 48 18 0 24 May 2024
Vertical Federated Learning Hybrid Local Pre-training Wenguo Li Xinling Guo Xu Jiao Tiancheng Huang Xiaoran Yan Yao Yang FedML 30 0 0 20 May 2024
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 92 18 0 15 May 2024
Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains Kyungeun Lee Ye Seul Sim Hye-Seung Cho Moonjung Eo Suhee Yoon Sanghyu Yoon Woohyung Lim SSL 25 5 0 13 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 11 0 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 24 23 0 15 Apr 2024
Boarding for ISS: Imbalanced Self-Supervised: Discovery of a Scaled Autoencoder for Mixed Tabular Datasets Samuel Stocksieker Denys Pommeret Arthur Charpentier SSL 26 1 0 23 Mar 2024
FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models Younghan Lee Yungi Cho Woorim Han Ho Bae Y. Paek FedML AAML 14 2 0 05 Mar 2024
Tree-Regularized Tabular Embeddings Xuan Li Yunhe Wang Boqian Li LMTD 33 3 0 01 Mar 2024
Autoencoder-based General Purpose Representation Learning for Customer Embedding Jan Henrik Bertrand J. P. Gargano Laurent Mombaerts Jonathan Taws Jonathan Taws OOD 25 3 0 28 Feb 2024
BotSSCL: Social Bot Detection with Self-Supervised Contrastive Learning Mohammad Majid Akhtar Navid Shadman Bhuiyan Rahat Masood Muhammad Ikram S. Kanhere AAML SSL 19 0 0 06 Feb 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 27 7 0 02 Feb 2024
Improving Antibody Humanness Prediction using Patent Data Talip Uçar Aubin Ramon Dino Oglic Rebecca Croasdale-wood Tom Diethe Pietro Sormanni 17 1 0 25 Jan 2024
Attention versus Contrastive Learning of Tabular Data -- A Data-centric Benchmarking S. B. Rabbani Ivan V. Medri Manar D. Samad 11 8 0 08 Jan 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 25 7 0 04 Jan 2024
Towards a Foundation Purchasing Model: Pretrained Generative Autoregression on Transaction Sequences Piotr Skalski David Sutton Stuart Burrell Iker Perez Jason Wong AI4TS 20 2 0 03 Jan 2024
Polynomial-based Self-Attention for Table Representation learning Jayoung Kim Yehjin Shin Jeongwhan Choi Hyowon Wi Noseong Park LMTD 14 1 0 12 Dec 2023
Demystifying DeFi MEV Activities in Flashbots Bundle Zihao Li Jianfeng Li Zheyuan He Xiapu Luo Ting Wang Xiaoze Ni Wenwu Yang Xi Chen Ting Chen MoE 16 22 0 02 Dec 2023
Self-supervised learning of multi-omics embeddings in the low-label, high-data regime Christian John Hurry Emma Slade 25 0 0 16 Nov 2023
A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning Valeriia Cherepanova Roman Levin Gowthami Somepalli Jonas Geiping C. B. Bruss Andrew Gordon Wilson Tom Goldstein Micah Goldblum 13 18 0 10 Nov 2023
Self-supervised Representation Learning From Random Data Projectors Yi Sui Tongzi Wu Jesse C. Cresswell Ga Wu George Stein Xiao Shi Huang Xiaochen Zhang M. Volkovs 16 10 0 11 Oct 2023
Survey on Imbalanced Data, Representation Learning and SEP Forecasting Josias Moukpe AI4TS 18 0 0 11 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 62 20 0 11 Oct 2023
CAST: Cluster-Aware Self-Training for Tabular Data Minwook Kim Juseong Kim Kibeom Kim Giltae Song 15 0 0 10 Oct 2023
Scaling Experiments in Self-Supervised Cross-Table Representation Learning Maximilian Schambach Dominique Paul Wei Le LMTD 22 2 0 29 Sep 2023
DoRA: Domain-Based Self-Supervised Learning Framework for Low-Resource Real Estate Appraisal Wei-Wei Du Wei-Yao Wang Wenjie Peng 19 4 0 02 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 11 1 0 31 Jul 2023
NCART: Neural Classification and Regression Tree for Tabular Data Jiaqi Luo Shi-qian Xu 8 8 0 23 Jul 2023
Exploiting Field Dependencies for Learning on Categorical Data Zhibin Li Piotr Koniusz Lu Zhang D. Pagendam Peyman Moghadam 18 4 0 18 Jul 2023
Towards Cross-Table Masked Pretraining for Web Data Mining Chaonan Ye Guoshan Lu Haobo Wang Liyao Li Sai Wu Gang Chen J. Zhao LMTD 26 13 0 10 Jul 2023
Enhancing Representation Learning on High-Dimensional, Small-Size Tabular Data: A Divide and Conquer Method with Ensembled VAEs Navindu Leelarathna Andrei Margeloiu M. Jamnik Nikola Simidjievski DRL 14 1 0 27 Jun 2023
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization Ramnath Kumar Kushal Majmundar Dheeraj M. Nagaraj A. Suggala ODL 19 6 0 15 Jun 2023
Global Layers: Non-IID Tabular Federated Learning Yazan Obeidi FedML 21 0 0 29 May 2023
TabGSL: Graph Structure Learning for Tabular Data Prediction Jay Chiehen Liao Cheng Li LMTD 16 5 0 25 May 2023
MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement Zifeng Wang Chufan Gao Cao Xiao Jimeng Sun LMTD 15 12 0 20 May 2023
Rethinking Data Augmentation for Tabular Data in Deep Learning Soma Onishi Shoya Meguro LMTD 15 14 0 17 May 2023