On Embeddings for Numerical Features in Tabular Deep Learning

10 March 2022

Papers citing "On Embeddings for Numerical Features in Tabular Deep Learning"

49 / 99 papers shown

Title
Tree-Regularized Tabular Embeddings Xuan Li Yunhe Wang Boqian Li LMTD 48 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 43 3 0 28 Feb 2024
CARTE: Pretraining and Transfer for Tabular Learning Myung Jun Kim Léo Grinsztajn Gaël Varoquaux LMTD 62 13 0 26 Feb 2024
A VAE-based Framework for Learning Multi-Level Neural Granger-Causal Connectivity Jiahe Lin Huitian Lei G. Michailidis CML 31 0 0 25 Feb 2024
Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning Johnathan Xie Yoonho Lee Annie S. Chen Chelsea Finn 27 3 0 22 Feb 2024
Variational Shapley Network: A Probabilistic Approach to Self-Explaining Shapley values with Uncertainty Quantification Mert Ketenci Inigo Urteaga Victor Alfonso Rodriguez Noémie Elhadad A. Perotte FAtt 32 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 50 7 0 02 Feb 2024
Continuous Diffusion for Mixed-Type Tabular Data Markus Mueller Kathrin Gruber Dennis Fok DiffM 64 5 0 16 Dec 2023
Labrador: Exploring the Limits of Masked Language Modeling for Laboratory Data David R. Bellamy Bhawesh Kumar Cindy Wang Andrew L. Beam MedIm 41 3 0 09 Dec 2023
Relational Deep Learning: Graph Representation Learning on Relational Databases Matthias Fey Weihua Hu Kexin Huang J. E. Lenssen Rishabh Ranjan Joshua Robinson Rex Ying Jiaxuan You J. Leskovec GNN 48 30 0 07 Dec 2023
Simplifying Neural Network Training Under Class Imbalance Ravid Shwartz-Ziv Micah Goldblum Yucen Lily Li C. Bayan Bruss Andrew Gordon Wilson 34 14 0 05 Dec 2023
Wild-Tab: A Benchmark For Out-Of-Distribution Generalization In Tabular Regression Sergey Kolesnikov CML OOD 22 4 0 04 Dec 2023
xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data Jing Gong Minsheng Hao Xingyi Cheng Xin Zeng Chiming Liu Jianzhu Ma Xuegong Zhang Taifeng Wang Leo T. Song 31 18 0 26 Nov 2023
On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series Rita Kuznetsova Alizée Pace Manuel Burger Hugo Yèche Gunnar Rätsch AI4TS 39 5 0 15 Nov 2023
Enhancing Actuarial Non-Life Pricing Models via Transformers Alexej Brauer 29 3 0 10 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 34 18 0 10 Nov 2023
Comparison of Microservice Call Rate Predictions for Replication in the Cloud Narges Mehran Arman Haghighi Pedram Aminharati Nikolay Nikolov A. Soylu Dumitru Roman R.-C. Prodan 18 2 0 29 Oct 2023
Unlocking the Transferability of Tokens in Deep Models for Tabular Data Qi-Le Zhou Han-Jia Ye Le-Ye Wang De-Chuan Zhan 29 8 0 23 Oct 2023
FATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data Dongyu Zhang Liang Wang Xin Dai Shubham Jain Junpeng Wang Yujie Fan Chin-Chia Michael Yeh Yan Zheng Zhongfang Zhuang Wei Zhang LMTD AI4TS 57 9 0 20 Oct 2023
Enhancing Illicit Activity Detection using XAI: A Multimodal Graph-LLM Framework Jack Nicholls Aditya Kuppa Nhien-An Le-Khac 38 4 0 20 Oct 2023
Survey on Imbalanced Data, Representation Learning and SEP Forecasting Josias Moukpe AI4TS 32 0 0 11 Oct 2023
NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time-Series Pretraining Chenguo Lin Xumeng Wen Wei Cao Congrui Huang Jiang Bian Stephen Lin Zhirong Wu AI4TS 44 4 0 11 Oct 2023
Scaling Experiments in Self-Supervised Cross-Table Representation Learning Maximilian Schambach Dominique Paul Wei Le LMTD 33 2 0 29 Sep 2023
ReMasker: Imputing Tabular Data with Masked Autoencoding Tianyu Du Luca Melis Ting Wang 19 15 0 25 Sep 2023
UNICON: A unified framework for behavior-based consumer segmentation in e-commerce Manuel Dibak Vladimir Vlasov Nour Karessli Darya Dedik E. Malykh Jacek Wasilewski T. Torres Ana Peleteiro Ramallo AI4TS 26 1 0 18 Sep 2023
Unveiling Invariances via Neural Network Pruning Derek Xu Yizhou Sun Wei Wang 41 0 0 15 Sep 2023
Multitask Deep Learning for Accurate Risk Stratification and Prediction of Next Steps for Coronary CT Angiography Patients Juan Lu Bennamoun J. Stewart J. Eshraghian Yanbin Liu B. Chow Frank M. Sanfilippo Girish Dwivedi OOD 30 1 0 01 Sep 2023
TabR: Tabular Deep Learning Meets Nearest Neighbors in 2023 Yu. V. Gorishniy Ivan Rubachev Nikolay Kartashev Daniil Shlenskii Akim Kotelnikov Artem Babenko OOD LMTD 27 15 0 26 Jul 2023
UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science Yazheng Yang Yuqi Wang Guangyi Liu Ledell Yu Wu Qi Liu LMTD 32 16 0 18 Jul 2023
Tabular Machine Learning Methods for Predicting Gas Turbine Emissions Rebecca Potts R. Hackney Georgios Leontidis 27 3 0 17 Jul 2023
Global Layers: Non-IID Tabular Federated Learning Yazan Obeidi FedML 42 0 0 29 May 2023
Generative Table Pre-training Empowers Models for Tabular Prediction Tianze Zhang Shaowen Wang Shuicheng Yan Jian Li Qian Liu LMTD 27 39 0 16 May 2023
LEURN: Learning Explainable Univariate Rules with Neural Networks Çağlar Aytekin FAtt 34 0 0 27 Mar 2023
TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization Alan Jeffares Tennison Liu Jonathan Crabbé F. Imrie M. Schaar CML 58 23 0 09 Mar 2023
Embeddings for Tabular Data: A Survey Rajat Singh Srikanta J. Bedathur LMTD 37 2 0 23 Feb 2023
Q-Match: Self-Supervised Learning by Matching Distributions Induced by a Queue Thomas Mulc Debidatta Dwibedi SSL 18 0 0 10 Feb 2023
Pathologies of Predictive Diversity in Deep Ensembles Taiga Abe E. Kelly Buchanan Geoff Pleiss John P. Cunningham UQCV 43 13 0 01 Feb 2023
ExcelFormer: A neural network surpassing GBDTs on tabular data Jintai Chen Jiahuan Yan Qiyuan Chen Danny Chen Jian Wu Jimeng Sun LMTD 46 23 0 07 Jan 2023
Deep Clustering of Tabular Data by Weighted Gaussian Distribution Learning S. B. Rabbani Ivan V. Medri Manar D. Samad 28 4 0 02 Jan 2023
T2G-Former: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction Jiahuan Yan Jintai Chen YiXuan Wu Danny Chen Jian Wu 37 36 0 30 Nov 2022
OpenFE: Automated Feature Generation with Expert-level Performance Tianze Zhang Zheyu Zhang Zhiyuan Fan Haoyan Luo Feng Liu Qian Liu Wei Cao Jian Li VLM 21 22 0 22 Nov 2022
TabLLM: Few-shot Classification of Tabular Data with Large Language Models S. Hegselmann Alejandro Buendia Hunter Lang Monica Agrawal Xiaoyi Jiang David Sontag LMTD 57 213 0 19 Oct 2022
Why do tree-based models still outperform deep learning on tabular data? Léo Grinsztajn Edouard Oyallon Gaël Varoquaux LMTD 35 357 0 18 Jul 2022
Revisiting Pretraining Objectives for Tabular Deep Learning Ivan Rubachev Artem Alekberov Yu. V. Gorishniy Artem Babenko LMTD 21 41 0 07 Jul 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
TabText: A Flexible and Contextual Approach to Tabular Data Representation Kimberly Villalobos Carballo Liangyuan Na Yu Ma L. Boussioux C. Zeng L. Soenksen Dimitris Bertsimas LMTD 35 7 0 21 Jun 2022
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 49 650 0 05 Oct 2021
TabTransformer: Tabular Data Modeling Using Contextual Embeddings Xin Huang A. Khetan Milan Cvitkovic Zohar Karnin ViT LMTD 157 420 0 11 Dec 2020
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data Sergei Popov S. Morozov Artem Babenko LMTD 93 297 0 13 Sep 2019