Entity Embeddings of Categorical Variables

22 April 2016

Papers citing "Entity Embeddings of Categorical Variables"

44 / 44 papers shown

Title
On Learning Representations for Tabular Data Distillation Inwon Kang Parikshit Ram Yi Zhou Horst Samulowitz Oshani Seneviratne DD 69 0 0 23 Jan 2025
Neural networks for insurance pricing with frequency and severity data: a benchmark study from data preprocessing to technical tariff Freek Holvoet Katrien Antonio Roel Henckaerts 107 3 0 20 Jan 2025
Deep Convolutional Neural Networks on Multiclass Classification of Three-Dimensional Brain Images for Parkinson's Disease Stage Prediction Guan-Hua Huang Wan-Chen Lai Tai-Been Chen Chien-Chin Hsu Huei-Yung Chen Yi-Chen Wu Li-Ren Yeh MedIm 39 2 0 31 Oct 2024
Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods Andrej Tschalzev Paul Nitschke Lukas Kirchdorfer Stefan Lüdtke Christian Bartelt Heiner Stuckenschmidt 36 0 0 01 Jul 2024
Efficient Parallel Multi-Hop Reasoning: A Scalable Approach for Knowledge Graph Analysis Jesmin Jahan Tithi Fabio Checconi Fabrizio Petrini LRM 27 0 0 11 Jun 2024
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey Xi Fang Weijie Xu Fiona Anting Tan Jiani Zhang Ziqing Hu Yanjun Qi Scott Nickleach Diego Socolinsky Srinivasan H. Sengamedu Christos Faloutsos LMTD ALM 42 66 0 27 Feb 2024
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies Kieran Wood Samuel Kessler Stephen J. Roberts S. Zohren AI4TS 31 2 0 16 Oct 2023
Short Run Transit Route Planning Decision Support System Using a Deep Learning-Based Weighted Graph Nadav Shalit Michael Fire Dima Kagan Eran Ben-Elia 28 0 0 24 Aug 2023
Conditional expectation network for SHAP Ronald Richman M. Wüthrich FAtt BDL 19 3 0 20 Jul 2023
Enhancing variational quantum state diagonalization using reinforcement learning techniques Akash Kundu Przemyslaw Bedelek M. Ostaszewski Onur Danaci Yash J. Patel Vedran Dunjko Jaroslaw Adam Miszczak 32 8 0 19 Jun 2023
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How Sebastian Pineda Arango Fabio Ferreira Arlind Kadra Frank Hutter Frank Hutter Josif Grabocka 34 15 0 06 Jun 2023
Machine Learning with High-Cardinality Categorical Features in Actuarial Applications Benjamin Avanzi G. Taylor Melantha Wang Bernard Wong 22 12 0 30 Jan 2023
An Artificial Intelligence-based model for cell killing prediction: development, validation and explainability analysis of the ANAKIN model F. Cordoni M. Missiaggia E. Scifoni C. La Tessa 26 9 0 19 Jan 2023
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection Jie Liu Yixiao Zhang Jieneng Chen Junfei Xiao Yongyi Lu Bennett A. Landman Yixuan Yuan Alan Yuille Yucheng Tang Zongwei Zhou VLM MedIm 39 194 0 02 Jan 2023
Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings Ajay Chawda S. Grimm Marius Kloft 41 4 0 25 Oct 2022
Efficient Representation of Natural Image Patches Cheng-en Guo 23 0 0 24 Oct 2022
Understanding Interventional TreeSHAP : How and Why it Works Gabriel Laberge Y. Pequignot FAtt 21 6 0 29 Sep 2022
Integrating Random Effects in Deep Neural Networks Giora Simchoni Saharon Rosset BDL AI4CE 35 21 0 07 Jun 2022
Ad Creative Discontinuation Prediction with Multi-Modal Multi-Task Neural Survival Networks Shunsuke Kitada Hitoshi Iyatomi Yoshifumi Seki 35 1 0 02 Apr 2022
A Fair Pricing Model via Adversarial Learning Vincent Grari Arthur Charpentier Marcin Detyniecki 24 13 0 24 Feb 2022
An Attention-based ConvLSTM Autoencoder with Dynamic Thresholding for Unsupervised Anomaly Detection in Multivariate Time Series Tareq Tayeh Sulaiman A. Aburakhia Ryan Myers Abdallah Shami AI4TS 47 33 0 23 Jan 2022
Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture Kieran Wood Sven Giegerich Stephen J. Roberts S. Zohren AI4TS AIFin 18 21 0 16 Dec 2021
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 45 647 0 05 Oct 2021
A novel activity pattern generation incorporating deep learning for transport demand models Danh T. Phan H. Vu HAI AI4TS 11 1 0 06 Apr 2021
ProcessTransformer: Predictive Business Process Monitoring with Transformer Network Z. Bukhsh Aaqib Saeed R. Dijkman AI4TS 4 45 0 01 Apr 2021
Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features F. Pargent Florian Pfisterer Janek Thomas B. Bischl 16 81 0 01 Apr 2021
Interpreting Deep Learning Models with Marginal Attribution by Conditioning on Quantiles M. Merz Ronald Richman A. Tsanakas M. Wüthrich FAtt 9 11 0 22 Mar 2021
MultiON: Benchmarking Semantic Map Memory using Multi-Object Navigation Saim Wani Shivansh Patel Unnat Jain Angel X. Chang Manolis Savva 34 104 0 07 Dec 2020
Improving seasonal forecast using probabilistic deep learning B. Pan G. Anderson André Goncalves Donald D. Lucas C. Bonfils Jiwoo Lee BDL AI4Cl 6 32 0 27 Oct 2020
Consumer Behaviour in Retail: Next Logical Purchase using Deep Neural Network Ankur Verma 8 6 0 14 Oct 2020
Offer Personalization using Temporal Convolution Network and Optimization Ankur Verma 18 1 0 14 Oct 2020
Stock2Vec: A Hybrid Deep Learning Framework for Stock Market Prediction with Representation Learning and Temporal Convolutional Network Xing Wang Yijun Wang Bin Weng Aleksandr Vinel AIFin AI4TS 24 11 0 29 Sep 2020
Kaggle forecasting competitions: An overlooked learning opportunity Casper Solheim Bojer Jens Peder Meldgaard AI4TS 16 207 0 16 Sep 2020
Propensity-to-Pay: Machine Learning for Estimating Prediction Uncertainty M. A. Bashar Kieren Astin-Walmsley Kerina Heath R. Nayak 16 2 0 27 Aug 2020
Machine Learning approach for Credit Scoring A. R. Provenzano D. Trifirò A. Datteo L. Giada N. Jean A. Riciputi Giacomo Le Pera M. Spadaccino L. Massaron C. Nordio 15 21 0 20 Jul 2020
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation Rasool Fakoor Jonas W. Mueller Nick Erickson Pratik Chaudhari Alex Smola 26 54 0 25 Jun 2020
Composite Travel Generative Adversarial Networks for Tabular and Sequential Population Synthesis Godwin Badu-Marfo Bilal Farooq Zachary Patterson 39 31 0 15 Apr 2020
Individual Claims Forecasting with Bayesian Mixture Density Networks Kevin Kuo AI4TS 19 13 0 05 Mar 2020
fastai: A Layered API for Deep Learning Jeremy Howard Sylvain Gugger AI4CE 6 857 0 11 Feb 2020
Similarity encoding for learning with dirty categorical variables Patricio Cerda Gaël Varoquaux Balázs Kégl CML 21 203 0 04 Jun 2018
Neural networks for post-processing ensemble weather forecasts S. Rasp Sebastian Lerch 23 343 0 23 May 2018
Sample-to-Sample Correspondence for Unsupervised Domain Adaptation Debasmit Das C.S. George Lee OOD 32 60 0 01 May 2018
DeepTriangle: A Deep Learning Approach to Loss Reserving Kevin Kuo 22 49 0 24 Apr 2018
On the Effectiveness of Discretizing Quantitative Attributes in Linear Classifiers Nayyar Zaidi Yang Du Geoffrey I. Webb 17 17 0 24 Jan 2017