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On Embeddings for Numerical Features in Tabular Deep Learning

10 March 2022

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

50 / 105 papers shown

Title
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 79 10 0 13 May 2024
Feature Distribution Shift Mitigation with Contrastive Pretraining for Intrusion Detection Weixing Wang Haojin Yang Christoph Meinel Hasan Yağiz Özkan Cristian Bermudez Serna C. M. Machuca 51 0 0 23 Apr 2024
BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model Chenwei Xu Yu-Chao Huang Jerry Yao-Chieh Hu Weijian Li Ammar Gilani H. Goan Han Liu 85 21 0 04 Apr 2024
PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning Weihua Hu Yiwen Yuan Zecheng Zhang Akihiro Nitta Kaidi Cao Vid Kocijan J. Leskovec Matthias Fey LMTD 78 16 0 31 Mar 2024
Unleashing the Potential of Large Language Models for Predictive Tabular Tasks in Data Science Yazheng Yang Yuqi Wang Sankalok Sen Lei Li Qi Liu LMTD 146 10 0 29 Mar 2024
Sequential Decision-Making for Inline Text Autocomplete Rohan Chitnis Shentao Yang A. Geramifard LRM 104 1 0 21 Mar 2024
Automated data processing and feature engineering for deep learning and big data applications: a survey A. Mumuni F. Mumuni TPM 86 60 0 18 Mar 2024
Anytime Neural Architecture Search on Tabular Data Naili Xing Shaofeng Cai Zhaojing Luo Bengchin Ooi Jian Pei 95 1 0 15 Mar 2024
Making Pre-trained Language Models Great on Tabular Prediction Jiahuan Yan Bo Zheng Hongxia Xu Yiheng Zhu Benlin Liu Jimeng Sun Jian Wu Jintai Chen LMTD 121 44 0 04 Mar 2024
Tree-Regularized Tabular Embeddings Xuan Li Yunhe Wang Boqian Li LMTD 96 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 78 3 0 28 Feb 2024
CARTE: Pretraining and Transfer for Tabular Learning Myung Jun Kim Léo Grinsztajn Gaël Varoquaux LMTD 152 23 0 26 Feb 2024
A VAE-based Framework for Learning Multi-Level Neural Granger-Causal Connectivity Jiahe Lin Huitian Lei G. Michailidis CML 113 0 0 25 Feb 2024
Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning Johnathan Xie Yoonho Lee Annie S. Chen Chelsea Finn 81 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 74 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 91 9 0 02 Feb 2024
Continuous Diffusion for Mixed-Type Tabular Data Markus Mueller Kathrin Gruber Dennis Fok DiffM 185 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 64 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 82 36 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 111 17 0 05 Dec 2023
Wild-Tab: A Benchmark For Out-Of-Distribution Generalization In Tabular Regression Sergey Kolesnikov CML OOD 77 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 134 22 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 71 5 0 15 Nov 2023
Enhancing Actuarial Non-Life Pricing Models via Transformers Alexej Brauer 77 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 64 20 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 35 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 132 10 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 87 10 0 20 Oct 2023
Enhancing Illicit Activity Detection using XAI: A Multimodal Graph-LLM Framework Jack Nicholls Aditya Kuppa Nhien-An Le-Khac 85 5 0 20 Oct 2023
Survey on Imbalanced Data, Representation Learning and SEP Forecasting Josias Moukpe AI4TS 112 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 88 5 0 11 Oct 2023
Scaling Experiments in Self-Supervised Cross-Table Representation Learning Maximilian Schambach Dominique Paul Wei Le LMTD 57 2 0 29 Sep 2023
ReMasker: Imputing Tabular Data with Masked Autoencoding Tianyu Du Luca Melis Ting Wang 71 19 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 53 1 0 18 Sep 2023
Unveiling Invariances via Neural Network Pruning Derek Xu Yizhou Sun Wei Wang 77 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 54 2 0 01 Sep 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 80 17 0 18 Jul 2023
Tabular Machine Learning Methods for Predicting Gas Turbine Emissions Rebecca Potts R. Hackney Georgios Leontidis 52 3 0 17 Jul 2023
Global Layers: Non-IID Tabular Federated Learning Yazan Obeidi FedML 99 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 84 46 0 16 May 2023
LEURN: Learning Explainable Univariate Rules with Neural Networks Çağlar Aytekin FAtt 62 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 84 27 0 09 Mar 2023
Embeddings for Tabular Data: A Survey Rajat Singh Srikanta J. Bedathur LMTD 64 2 0 23 Feb 2023
Q-Match: Self-Supervised Learning by Matching Distributions Induced by a Queue Thomas Mulc Debidatta Dwibedi SSL 30 0 0 10 Feb 2023
Pathologies of Predictive Diversity in Deep Ensembles Taiga Abe E. Kelly Buchanan Geoff Pleiss John P. Cunningham UQCV 152 14 0 01 Feb 2023
ExcelFormer: A neural network surpassing GBDTs on tabular data Jintai Chen Jiahuan Yan Qiyuan Chen Benlin Liu Jian Wu Jimeng Sun LMTD 165 27 0 07 Jan 2023
Deep Clustering of Tabular Data by Weighted Gaussian Distribution Learning S. B. Rabbani Ivan V. Medri Manar D. Samad 138 4 0 02 Jan 2023
T2G-Former: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction Jiahuan Yan Jintai Chen YiXuan Wu Benlin Liu Jian Wu 95 39 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 47 30 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 135 235 0 19 Oct 2022