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"

29 / 79 papers shown

Title
XTab: Cross-table Pretraining for Tabular Transformers Bingzhao Zhu Xingjian Shi Nick Erickson Mu Li George Karypis Mahsa Shoaran LMTD 18 65 0 10 May 2023
A Cookbook of Self-Supervised Learning Randall Balestriero Mark Ibrahim Vlad Sobal Ari S. Morcos Shashank Shekhar ... Pierre Fernandez Amir Bar Hamed Pirsiavash Yann LeCun Micah Goldblum SyDa FedML SSL 31 270 0 24 Apr 2023
To Compress or Not to Compress- Self-Supervised Learning and Information Theory: A Review Ravid Shwartz-Ziv Yann LeCun SSL 6 71 0 19 Apr 2023
HyperTab: Hypernetwork Approach for Deep Learning on Small Tabular Datasets Witold Wydmański Oleksii Bulenok Marek Śmieja LMTD 22 9 0 07 Apr 2023
ElegansNet: a brief scientific report and initial experiments Francesco Bardozzo Andrea Terlizzi Pietro Lio' R. Tagliaferri 11 1 0 06 Apr 2023
Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data Paul Hager M. Menten Daniel Rueckert 19 47 0 24 Mar 2023
TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization Alan Jeffares Tennison Liu Jonathan Crabbé F. Imrie M. Schaar CML 37 21 0 09 Mar 2023
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables Jaehyun Nam Jihoon Tack Kyungmin Lee Hankook Lee Jinwoo Shin LMTD SSL 8 31 0 02 Mar 2023
Revisiting Self-Training with Regularized Pseudo-Labeling for Tabular Data Miwook Kim Juseong Kim Giltae Song 19 2 0 27 Feb 2023
Novel Class Discovery: an Introduction and Key Concepts Colin Troisemaine V. Lemaire Stéphane Gosselin Alexandre Reiffers-Masson Joachim Flocon-Cholet Sandrine Vaton 17 21 0 22 Feb 2023
Progressive Feature Upgrade in Semi-supervised Learning on Tabular Domain Morteza Mohammady Gharasuie Fenjiao Wang 17 0 0 01 Dec 2022
Local Contrastive Feature learning for Tabular Data Zhabiz Gharibshah Xingquan Zhu SSL 11 7 0 19 Nov 2022
Completely Heterogeneous Federated Learning Chang-Shu Liu Yuwen Yang Xun Cai Yue Ding Hongtao Lu FedML 15 8 0 28 Oct 2022
Self-omics: A Self-supervised Learning Framework for Multi-omics Cancer Data S. Hashim Karthik Nandakumar Mohammad Yaqub SyDa 11 4 0 03 Oct 2022
Label Distribution Learning via Implicit Distribution Representation Zhuoran Zheng Xiuyi Jia 4 7 0 28 Sep 2022
PTab: Using the Pre-trained Language Model for Modeling Tabular Data Guangyi Liu Jie-jin Yang Ledell Yu Wu LMTD 63 32 0 15 Sep 2022
A Method for Discovering Novel Classes in Tabular Data Colin Troisemaine Joachim Flocon-Cholet Stéphane Gosselin Sandrine Vaton Alexandre Reiffers-Masson V. Lemaire 13 6 0 02 Sep 2022
Parameter Averaging for Feature Ranking Talip Uçar Ehsan Hajiramezanali 17 0 0 05 Aug 2022
Revisiting Pretraining Objectives for Tabular Deep Learning Ivan Rubachev Artem Alekberov Yu. V. Gorishniy Artem Babenko LMTD 19 41 0 07 Jul 2022
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data Dugang Liu Pengxiang Cheng Hong Zhu Xing Tang Yanyu Chen Xiaoting Wang Weike Pan Zhong Ming Xiuqiang He TDI 23 9 0 06 Jul 2022
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 66 58 0 30 Jun 2022
MET: Masked Encoding for Tabular Data Kushal Majmundar Sachin Goyal Praneeth Netrapalli Prateek Jain LMTD 8 0 0 17 Jun 2022
TransTab: Learning Transferable Tabular Transformers Across Tables Zifeng Wang Jimeng Sun LMTD 18 135 0 19 May 2022
Perturbation of Deep Autoencoder Weights for Model Compression and Classification of Tabular Data Manar D. Samad Sakib Abrar 17 11 0 17 May 2022
Stochastic Perturbations of Tabular Features for Non-Deterministic Inference with Automunge Nicholas J. Teague AAML 8 1 0 18 Feb 2022
SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data for Cancer Type Classification S. Hashim Muhammad Ali Karthik Nandakumar Mohammad Yaqub 14 3 0 03 Feb 2022
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 14 639 0 05 Oct 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,029 0 09 Mar 2020
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 31,150 0 16 Jan 2013