TabNet: Attentive Interpretable Tabular Learning

20 August 2019

Tomas Pfister

Papers citing "TabNet: Attentive Interpretable Tabular Learning"

50 / 405 papers shown

Title
Explainable AI for clinical and remote health applications: a survey on tabular and time series data Flavio Di Martino Franca Delmastro AI4TS 26 91 0 14 Sep 2022
Concept-Based Explanations for Tabular Data Varsha Pendyala Jihye Choi FaML XAI FAtt 26 2 0 13 Sep 2022
Stochastic gradient descent with gradient estimator for categorical features Paul Peseux Maxime Bérar Thierry Paquet Victor Nicollet 20 0 0 08 Sep 2022
Machine Learning For Classification Of Antithetical Emotional States Jeevanshi Sharma Rajat Maheshwari Y. Khan 17 0 0 06 Sep 2022
Reducing Certified Regression to Certified Classification for General Poisoning Attacks Zayd Hammoudeh Daniel Lowd AAML 27 9 0 29 Aug 2022
On Grounded Planning for Embodied Tasks with Language Models Bill Yuchen Lin Chengsong Huang Qian Liu Wenda Gu Sam Sommerer Xiang Ren LM&Ro 28 39 0 29 Aug 2022
Interpreting Black-box Machine Learning Models for High Dimensional Datasets Md. Rezaul Karim Md. Shajalal Alexander Grass Till Dohmen S. Chala Alexander Boden C. Beecks Stefan Decker FAtt 11 17 0 29 Aug 2022
Adversarial Robustness for Tabular Data through Cost and Utility Awareness Klim Kireev B. Kulynych Carmela Troncoso AAML 26 16 0 27 Aug 2022
Parameter Averaging for Feature Ranking Talip Uçar Ehsan Hajiramezanali 25 0 0 05 Aug 2022
A-SFS: Semi-supervised Feature Selection based on Multi-task Self-supervision Zhifeng Qiu Wanxin Zeng Dahua Liao Ning Gui 25 9 0 19 Jul 2022
GANDALF: Gated Adaptive Network for Deep Automated Learning of Features Manu Joseph Harsh Raj 23 9 0 18 Jul 2022
Why do tree-based models still outperform deep learning on tabular data? Léo Grinsztajn Edouard Oyallon Gaël Varoquaux LMTD 22 355 0 18 Jul 2022
Attention and Self-Attention in Random Forests Lev V. Utkin A. Konstantinov 34 3 0 09 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
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data Dugang Liu Pengxiang Cheng Hong Zhu Xing Tang Yanyu Chen Xiaoting Wang Weike Pan Zhong Ming Xiuqiang He TDI 25 10 0 06 Jul 2022
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second Noah Hollmann Samuel G. Müller Katharina Eggensperger Frank Hutter 32 260 0 05 Jul 2022
DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles Tanishq Gupta Mohd Zaki Devanshi Khatsuriya Kausik Hira N. M. A. Krishnan Mausam LMTD CoGe 17 19 0 03 Jul 2022
AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection Marius Dragoi Elena Burceanu Emanuela Haller Andrei Manolache Florin Brad OOD 18 18 0 30 Jun 2022
Transfer Learning with Deep Tabular Models Roman Levin Valeriia Cherepanova Avi Schwarzschild Arpit Bansal C. B. Bruss Tom Goldstein A. Wilson Micah Goldblum OOD FedML LMTD 75 58 0 30 Jun 2022
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks Tuan Dinh Yuchen Zeng Ruisu Zhang Ziqian Lin Michael Gira Shashank Rajput Jy-yong Sohn Dimitris Papailiopoulos Kangwook Lee LMTD 32 125 0 14 Jun 2022
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning Tao Qi Fangzhao Wu Chuhan Wu Lingjuan Lyu Tongye Xu Zhongliang Yang Yongfeng Huang Xing Xie FedML 29 36 0 07 Jun 2022
Interpretable Mixture of Experts Aya Abdelsalam Ismail Sercan Ö. Arik Jinsung Yoon Ankur Taly S. Feizi Tomas Pfister MoE 15 10 0 05 Jun 2022
Hopular: Modern Hopfield Networks for Tabular Data Bernhard Schafl Lukas Gruber Angela Bitto-Nemling Sepp Hochreiter LMTD 25 27 0 01 Jun 2022
Scalable Interpretability via Polynomials Abhimanyu Dubey Filip Radenovic D. Mahajan 4 30 0 27 May 2022
BRIGHT -- Graph Neural Networks in Real-Time Fraud Detection Mingxuan Lu Zhichao Han Susie Xi Rao Zitao Zhang Yang Zhao Yinan Shan Ramesh Raghunathan Ce Zhang Jiawei Jiang GNN 12 30 0 25 May 2022
Analyzing Tree Architectures in Ensembles via Neural Tangent Kernel Ryuichi Kanoh M. Sugiyama 20 2 0 25 May 2022
EXACT: How to Train Your Accuracy I. Karpukhin Stanislav Dereka Sergey Kolesnikov 11 0 0 19 May 2022
CLCNet: Rethinking of Ensemble Modeling with Classification Confidence Network Yaodong Yu S. Horng 10 0 0 19 May 2022
TransTab: Learning Transferable Tabular Transformers Across Tables Zifeng Wang Jimeng Sun LMTD 28 135 0 19 May 2022
DNNR: Differential Nearest Neighbors Regression Youssef Nader Leon Sixt Tim Landgraf 29 13 0 17 May 2022
AdaCap: Adaptive Capacity control for Feed-Forward Neural Networks Katia Méziani Karim Lounici Benjamin Riu 6 0 0 09 May 2022
COVID-Net Biochem: An Explainability-driven Framework to Building Machine Learning Models for Predicting Survival and Kidney Injury of COVID-19 Patients from Clinical and Biochemistry Data Hossein Aboutalebi Maya Pavlova M. Shafiee A. Florea Andrew Hryniowski Alexander Wong 11 4 0 24 Apr 2022
TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets Chengrun Yang Gabriel Bender Hanxiao Liu Pieter-Jan Kindermans Madeleine Udell Yifeng Lu Quoc V. Le Da Huang LMTD 19 7 0 15 Apr 2022
Machine Learning and Deep Learning -- A review for Ecologists Maximilian Pichler F. Hartig 36 124 0 11 Apr 2022
On Embeddings for Numerical Features in Tabular Deep Learning Yura Gorishniy Ivan Rubachev Artem Babenko LMTD 13 155 0 10 Mar 2022
SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data for Cancer Type Classification S. Hashim Muhammad Ali Karthik Nandakumar Mohammad Yaqub 22 3 0 03 Feb 2022
FinGAN: Generative Adversarial Network for Analytical Customer Relationship Management in Banking and Insurance Prateek Kate V. Ravi Akhilesh Gangwar AI4TS 6 3 0 27 Jan 2022
Generative Trees: Adversarial and Copycat Richard Nock Mathieu Guillame-Bert 24 5 0 26 Jan 2022
Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks Haoyu Dong Zhoujun Cheng Xinyi He Mengyuan Zhou Anda Zhou Fan Zhou Ao Liu Shi Han Dongmei Zhang LMTD 60 64 0 24 Jan 2022
IDEA: Interpretable Dynamic Ensemble Architecture for Time Series Prediction Meng-yue Zha Kani Chen Tong Zhang OOD AI4TS 11 0 0 14 Jan 2022
Attention-based Random Forest and Contamination Model Lev V. Utkin A. Konstantinov 21 29 0 08 Jan 2022
The GatedTabTransformer. An enhanced deep learning architecture for tabular modeling Radostin Cholakov T. Kolev LMTD 27 12 0 01 Jan 2022
Fusion of medical imaging and electronic health records with attention and multi-head machanisms Cheng Jiang Yihao Chen Jianbo Chang M. Feng Renzhi Wang Jianhua Yao 13 8 0 22 Dec 2021
More layers! End-to-end regression and uncertainty on tabular data with deep learning Ivan Bondarenko OOD LMTD UQCV 17 4 0 07 Dec 2021
DANets: Deep Abstract Networks for Tabular Data Classification and Regression Jintai Chen Kuan-Yu Liao Yao Wan D. Z. Chen Jian Wu LMTD 33 48 0 06 Dec 2021
Beyond Importance Scores: Interpreting Tabular ML by Visualizing Feature Semantics Amirata Ghorbani Dina Berenbaum Maor Ivgi Yuval Dafna James Y. Zou FAtt 20 8 0 10 Nov 2021
Personalized Benchmarking with the Ludwig Benchmarking Toolkit A. Narayan Piero Molino Karan Goel W. Neiswanger Christopher Ré 10 11 0 08 Nov 2021
Don't speak too fast: The impact of data bias on self-supervised speech models Yen Meng Yi-Hui Chou Andy T. Liu Hung-yi Lee 34 25 0 15 Oct 2021
Towards Explainable Real Estate Valuation via Evolutionary Algorithms Sebastian Angrick Ben Bals Niko Hastrich M. Kleissl Jonas Schmidt Vanja Doskoc Maximilian Katzmann Louise Molitor Tobias Friedrich ELM 27 2 0 11 Oct 2021
SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning Talip Uçar Ehsan Hajiramezanali Lindsay Edwards LMTD SSL 28 124 0 08 Oct 2021