TabNet: Attentive Interpretable Tabular Learning

20 August 2019

Tomas Pfister

Papers citing "TabNet: Attentive Interpretable Tabular Learning"

50 / 405 papers shown

Title
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 40 30 0 07 Dec 2023
RINAS: Training with Dataset Shuffling Can Be General and Fast Tianle Zhong Jiechen Zhao Xindi Guo Qiang Su Geoffrey C. Fox 32 4 0 04 Dec 2023
Wild-Tab: A Benchmark For Out-Of-Distribution Generalization In Tabular Regression Sergey Kolesnikov CML OOD 12 4 0 04 Dec 2023
Exploring Factors Affecting Pedestrian Crash Severity Using TabNet: A Deep Learning Approach Amir Rafe Patrick A. Singleton 6 3 0 29 Nov 2023
FocusLearn: Fully-Interpretable, High-Performance Modular Neural Networks for Time Series Qiqi Su Christos Kloukinas Artur dÁvila Garcez AI4TS 14 3 0 28 Nov 2023
Evaluating Multi-Global Server Architecture for Federated Learning Asfia Kawnine Hung Cao Atah Nuh Mih Monica Wachowicz 16 0 0 26 Nov 2023
Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs Yizheng Zhu Yuncheng Wu Zhaojing Luo Beng Chin Ooi Xiaokui Xiao 30 4 0 26 Nov 2023
AdaMedGraph: Adaboosting Graph Neural Networks for Personalized Medicine Jie Lian Xufang Luo Caihua Shan Dongqi Han V. Vardhanabhuti Dongsheng Li 24 0 0 24 Nov 2023
Classification of Tabular Data by Text Processing Keshav Ramani Daniel Borrajo LMTD 14 0 0 21 Nov 2023
Classification Methods Based on Machine Learning for the Analysis of Fetal Health Data Binod Regmi Chiranjibi Shah 11 1 0 18 Nov 2023
Tabular Few-Shot Generalization Across Heterogeneous Feature Spaces Max Zhu Katarzyna Kobalczyk Andrija Petrović Mladen Nikolic M. Schaar Boris Delibasic Petro Lio 25 2 0 16 Nov 2023
Self-supervised learning of multi-omics embeddings in the low-label, high-data regime Christian John Hurry Emma Slade 30 0 0 16 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 27 5 0 15 Nov 2023
RoboSense At Edge: Detecting Slip, Crumple and Shape of the Object in Robotic Hand for Teleoprations Sudev Kumar Padhi Mohit Kumar Debanka Giri Subidh Ali 9 0 0 14 Nov 2023
Tabdoor: Backdoor Vulnerabilities in Transformer-based Neural Networks for Tabular Data Bart Pleiter Behrad Tajalli Stefanos Koffas Gorka Abad Jing Xu Martha Larson S. Picek LMTD AAML 38 1 0 13 Nov 2023
Fine-Tuning the Retrieval Mechanism for Tabular Deep Learning Felix den Breejen Sangmin Bae Stephen Cha Tae-Young Kim Seoung Hyun Koh SeYoung Yun 24 3 0 13 Nov 2023
Enhancing Actuarial Non-Life Pricing Models via Transformers Alexej Brauer 24 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. B. Bruss Andrew Gordon Wilson Tom Goldstein Micah Goldblum 26 18 0 10 Nov 2023
An Initialization Schema for Neuronal Networks on Tabular Data Wolfgang Fuhl 13 0 0 07 Nov 2023
RELand: Risk Estimation of Landmines via Interpretable Invariant Risk Minimization Mateo Dulce Rubio Siqi Zeng Qi Wang Didier Alvarado Francisco Moreno Hoda Heidari Fei Fang 32 2 0 06 Nov 2023
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions Luca Longo Mario Brcic Federico Cabitza Jaesik Choi Roberto Confalonieri ... Andrés Páez Wojciech Samek Johannes Schneider Timo Speith Simone Stumpf 29 189 0 30 Oct 2023
Model Uncertainty based Active Learning on Tabular Data using Boosted Trees Sharath M Shankaranarayana 27 0 0 30 Oct 2023
ReConTab: Regularized Contrastive Representation Learning for Tabular Data Suiyao Chen Jing Wu N. Hovakimyan Handong Yao 33 33 0 28 Oct 2023
RDBench: ML Benchmark for Relational Databases Zizhao Zhang Yi Yang Lutong Zou He Wen Tao Feng Jiaxuan You 25 2 0 25 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 7 0 23 Oct 2023
Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications Yanchen Liu Srishti Gautam Jiaqi Ma Himabindu Lakkaraju LMTD 24 11 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 55 9 0 20 Oct 2023
Subject-specific Deep Neural Networks for Count Data with High-cardinality Categorical Features Hangbin Lee I. Ha Changha Hwang Youngjo Lee 16 1 0 18 Oct 2023
Identifying and examining machine learning biases on Adult dataset Sahil Girhepuje FaML 13 2 0 13 Oct 2023
From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language Models Xumeng Wen Han Zhang Shun Zheng Wei Xu Jiang Bian LMTD ALM 68 20 0 11 Oct 2023
Lightweight Boosting Models for User Response Prediction Using Adversarial Validation Hyeonwoo Kim Wonsung Lee 8 0 0 05 Oct 2023
UniPredict: Large Language Models are Universal Tabular Classifiers Ruiyu Wang Zifeng Wang Jimeng Sun LMTD 16 1 0 05 Oct 2023
Stable and Interpretable Deep Learning for Tabular Data: Introducing InterpreTabNet with the Novel InterpreStability Metric Shiyun Wa Xinai Lu Minjuan Wang 27 1 0 04 Oct 2023
Testing the Limits of Unified Sequence to Sequence LLM Pretraining on Diverse Table Data Tasks Soumajyoti Sarkar Leonard Lausen LMTD 18 5 0 01 Oct 2023
Scaling Experiments in Self-Supervised Cross-Table Representation Learning Maximilian Schambach Dominique Paul Wei Le LMTD 25 2 0 29 Sep 2023
GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data Sascha Marton Stefan Lüdtke Christian Bartelt Heiner Stuckenschmidt LMTD 13 5 0 29 Sep 2023
Regionally Additive Models: Explainable-by-design models minimizing feature interactions Vasilis Gkolemis Anargiros Tzerefos Theodore Dalamagas Eirini Ntoutsi Christos Diou FAtt 36 2 0 21 Sep 2023
SHAPNN: Shapley Value Regularized Tabular Neural Network Qisen Cheng Shuhui Qu Janghwan Lee 14 3 0 15 Sep 2023
Unveiling Invariances via Neural Network Pruning Derek Xu Yizhou Sun Wei Wang 36 0 0 15 Sep 2023
A Non-Invasive Interpretable NAFLD Diagnostic Method Combining TCM Tongue Features Shan Cao Qunsheng Ruan Qingfeng Wu Weiqiang Lin LM&MA 31 0 0 06 Sep 2023
DoRA: Domain-Based Self-Supervised Learning Framework for Low-Resource Real Estate Appraisal Wei-Wei Du Wei-Yao Wang Wenjie Peng 24 4 0 02 Sep 2023
OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams Yiqun Diao Yutong Yang Q. Li Bin He Mian Lu 14 1 0 29 Aug 2023
Generating tabular datasets under differential privacy G. Truda DiffM 22 5 0 28 Aug 2023
Homological Convolutional Neural Networks Antonio Briola Yuanrong Wang Silvia Bartolucci T. Aste LMTD 25 5 0 26 Aug 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
Ensembling Uncertainty Measures to Improve Safety of Black-Box Classifiers T. Zoppi Andrea Ceccarelli A. Bondavalli UQCV 27 0 0 23 Aug 2023
Interpretable Graph Neural Networks for Tabular Data Amr Alkhatib Sofiane Ennadir Henrik Bostrom Michalis Vazirgiannis LMTD 30 4 0 17 Aug 2023
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning A. Li Mingyue Shang Evangelia Spiliopoulou Jie Ma Patrick K. L. Ng ... William Yang Wang Kathleen McKeown Vittorio Castelli Dan Roth Bing Xiang 38 2 0 10 Aug 2023
DeRisk: An Effective Deep Learning Framework for Credit Risk Prediction over Real-World Financial Data Yancheng Liang Jiajie Zhang Hui Li Xiaochen Liu Yi Hu Yonghuan Wu Jinyao Zhang Yongyan Liu Yi Wu 16 2 0 07 Aug 2023
Machine learning methods for the search for L&T brown dwarfs in the data of modern sky surveys A. Avdeeva 6 3 0 06 Aug 2023