Title
TabSTAR: A Foundation Tabular Model With Semantically Target-Aware Representations Alan Arazi Eilam Shapira Roi Reichart LMTD 190 0 0 23 May 2025
Revisiting Pretraining Objectives for Tabular Deep Learning Ivan Rubachev Artem Alekberov Yu. V. Gorishniy Artem Babenko LMTD 56 47 0 07 Jul 2022
Hopular: Modern Hopfield Networks for Tabular Data Bernhard Schafl Lukas Gruber Angela Bitto-Nemling Sepp Hochreiter LMTD 66 28 0 01 Jun 2022
TransTab: Learning Transferable Tabular Transformers Across Tables Zifeng Wang Jimeng Sun LMTD 68 147 0 19 May 2022
On Embeddings for Numerical Features in Tabular Deep Learning Yura Gorishniy Ivan Rubachev Artem Babenko LMTD 103 175 0 10 Mar 2022
Consolidated learning -- a domain-specific model-free optimization strategy with examples for XGBoost and MIMIC-IV Katarzyna Wo'znica Mateusz Grzyb Zuzanna Trafas P. Biecek 106 2 0 27 Jan 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 477 7,819 0 11 Nov 2021
SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning Talip Uçar Ehsan Hajiramezanali Lindsay Edwards LMTD SSL 66 133 0 08 Oct 2021
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 112 696 0 05 Oct 2021
Simple Modifications to Improve Tabular Neural Networks J. Fiedler LMTD 117 19 0 06 Aug 2021
SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption Dara Bahri Heinrich Jiang Yi Tay Donald Metzler SSL 70 175 0 29 Jun 2021
Revisiting Deep Learning Models for Tabular Data Yu. V. Gorishniy Ivan Rubachev Valentin Khrulkov Artem Babenko LMTD 122 765 0 22 Jun 2021
Locally Sparse Neural Networks for Tabular Biomedical Data Junchen Yang Ofir Lindenbaum Y. Kluger 58 34 0 11 Jun 2021
Neighborhood Contrastive Learning Applied to Online Patient Monitoring Hugo Yèche Gideon Dresdner Francesco Locatello Matthias Huser Gunnar Rätsch 69 48 0 09 Jun 2021
CoAtNet: Marrying Convolution and Attention for All Data Sizes Zihang Dai Hanxiao Liu Quoc V. Le Mingxing Tan ViT 126 1,208 0 09 Jun 2021
Tabular Data: Deep Learning is Not All You Need Ravid Shwartz-Ziv Amitai Armon LMTD 159 1,275 0 06 Jun 2021
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning Jannik Kossen Neil Band Clare Lyle Aidan Gomez Tom Rainforth Y. Gal OOD 3DPC 103 141 0 04 Jun 2021
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training Gowthami Somepalli Micah Goldblum Avi Schwarzschild C. Bayan Bruss Tom Goldstein LMTD 88 331 0 02 Jun 2021
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning Adrien Bardes Jean Ponce Yann LeCun SSL DML 153 944 0 11 May 2021
TabTransformer: Tabular Data Modeling Using Contextual Embeddings Xin Huang A. Khetan Milan Cvitkovic Zohar Karnin ViT LMTD 207 457 0 11 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 670 41,430 0 22 Oct 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 261 4,098 0 17 Jun 2020
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data Pengcheng Yin Graham Neubig Wen-tau Yih Sebastian Riedel RALM LMTD 94 605 0 17 May 2020
Joint Liver Lesion Segmentation and Classification via Transfer Learning Michal Heker H. Greenspan MedIm 77 34 0 26 Apr 2020
Adapted tree boosting for Transfer Learning Wenjing Fang Chaochao Chen Bowen Song Li Wang Jun Zhou Kenny Q. Zhu 30 13 0 27 Feb 2020
Gradient Boosting Neural Networks: GrowNet Sarkhan Badirli Xuanqing Liu Zhengming Xing Avradeep Bhowmik Khoa D. Doan S. Keerthi FedML 56 87 0 19 Feb 2020
The Tree Ensemble Layer: Differentiability meets Conditional Computation Hussein Hazimeh Natalia Ponomareva P. Mol Zhenyu Tan Rahul Mazumder UQCV AI4CE 392 80 0 18 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 387 18,866 0 13 Feb 2020
Self-Supervised Learning of Pretext-Invariant Representations Ishan Misra Laurens van der Maaten SSL VLM 108 1,458 0 04 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 213 12,124 0 13 Nov 2019
A Comprehensive Survey on Transfer Learning Fuzhen Zhuang Zhiyuan Qi Keyu Duan Dongbo Xi Yongchun Zhu Hengshu Zhu Hui Xiong Qing He 186 4,471 0 07 Nov 2019
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension M. Lewis Yinhan Liu Naman Goyal Marjan Ghazvininejad Abdel-rahman Mohamed Omer Levy Veselin Stoyanov Luke Zettlemoyer AIMat VLM 264 10,851 0 29 Oct 2019
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Zhenzhong Lan Mingda Chen Sebastian Goodman Kevin Gimpel Piyush Sharma Radu Soricut SSL AIMat 373 6,467 0 26 Sep 2019
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data Sergei Popov S. Morozov Artem Babenko LMTD 148 317 0 13 Sep 2019
TabNet: Attentive Interpretable Tabular Learning Sercan O. Arik Tomas Pfister LMTD 206 1,355 0 20 Aug 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 677 24,541 0 26 Jul 2019
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 668 5,839 0 25 Jul 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 622 4,802 0 13 May 2019
Med3D: Transfer Learning for 3D Medical Image Analysis Sihong Chen Kai Ma Yefeng Zheng MedIm 64 464 0 01 Apr 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison Jeremy Irvin Pranav Rajpurkar M. Ko Yifan Yu Silviana Ciurea-Ilcus ... D. Larson C. Langlotz Bhavik Patel M. Lungren A. Ng 114 2,601 0 21 Jan 2019
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks Weiping Song Chence Shi Zhiping Xiao Zhijian Duan Yewen Xu Ming Zhang Jian Tang CML 87 857 0 29 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,175 0 11 Oct 2018
Deep Neural Decision Trees Yongxin Yang Irene Garcia Morillo Timothy M. Hospedales PINN 53 186 0 19 Jun 2018
GAIN: Missing Data Imputation using Generative Adversarial Nets Jinsung Yoon James Jordon M. Schaar GAN 61 1,023 0 07 Jun 2018
YOLOv3: An Incremental Improvement Joseph Redmon Ali Farhadi ObjD 130 21,482 0 08 Apr 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam SSeg 480 13,178 0 07 Feb 2018
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 289 9,803 0 25 Oct 2017
Deep & Cross Network for Ad Click Predictions Ruoxi Wang Bin Fu Gang Fu Mingliang Wang 104 1,234 0 17 Aug 2017
Self-Normalizing Neural Networks Günter Klambauer Thomas Unterthiner Andreas Mayr Sepp Hochreiter 470 2,519 0 08 Jun 2017
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 814 39,062 0 09 Mar 2016