TabNet: Attentive Interpretable Tabular Learning

20 August 2019

Tomas Pfister

Papers citing "TabNet: Attentive Interpretable Tabular Learning"

50 / 405 papers shown

Title
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 27 645 0 05 Oct 2021
Attention Augmented Convolutional Transformer for Tabular Time-series Sharath M. Shankaranarayana D. Runje LMTD AI4TS 58 8 0 05 Oct 2021
First to Possess His Statistics: Data-Free Model Extraction Attack on Tabular Data Masataka Tasumi Kazuki Iwahana Naoto Yanai Katsunari Shishido Toshiya Shimizu Yuji Higuchi I. Morikawa Jun Yajima AAML 26 4 0 30 Sep 2021
A Neural Tangent Kernel Perspective of Infinite Tree Ensembles Ryuichi Kanoh M. Sugiyama 23 7 0 10 Sep 2021
Contrastive Mixup: Self- and Semi-Supervised learning for Tabular Domain Sajad Darabi Shayan Fazeli Ali Pazoki S. Sankararaman Majid Sarrafzadeh SSL 26 29 0 27 Aug 2021
Fed-TGAN: Federated Learning Framework for Synthesizing Tabular Data Zilong Zhao Robert Birke A. Kunar L. Chen FedML 15 22 0 18 Aug 2021
A Brief Review of Machine Learning Techniques for Protein Phosphorylation Sites Prediction Farzaneh Esmaili Mahdi Pourmirzaei Shahin Ramazi E. Yavari 11 1 0 10 Aug 2021
Simple Modifications to Improve Tabular Neural Networks J. Fiedler LMTD 77 19 0 06 Aug 2021
Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling Liang Zeng Lei Wang Hui Niu Ruchen Zhang Ling Wang Jian Li 14 3 0 26 Jul 2021
Graph-Based Learning for Stock Movement Prediction with Textual and Relational Data Qinkai Chen C. Robert AIFin 40 25 0 22 Jul 2021
Lockout: Sparse Regularization of Neural Networks Gilmer Valdes W. Arbelo Y. Interian J. Friedman 13 2 0 15 Jul 2021
Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL) Michael A. Hedderich Benjamin Roth Katharina Kann Barbara Plank Alex Ratner Dietrich Klakow 11 0 0 08 Jul 2021
ARM-Net: Adaptive Relation Modeling Network for Structured Data Shaofeng Cai Kaiping Zheng Gang Chen H. V. Jagadish Beng Chin Ooi Meihui Zhang 25 50 0 05 Jul 2021
Reimagining GNN Explanations with ideas from Tabular Data Anjali Singh K. ShamanthRNayak Balaji Ganesan LMTD 20 1 0 23 Jun 2021
Revisiting Deep Learning Models for Tabular Data Yu. V. Gorishniy Ivan Rubachev Valentin Khrulkov Artem Babenko LMTD 19 696 0 22 Jun 2021
Dynamic Customer Embeddings for Financial Service Applications Nima Chitsazan Samuel Sharpe Dwipam Katariya Qi-Jun Cheng Karthik Rajasethupathy 14 2 0 22 Jun 2021
Well-tuned Simple Nets Excel on Tabular Datasets Arlind Kadra Marius Lindauer Frank Hutter Josif Grabocka 15 185 0 21 Jun 2021
Controlling Neural Networks with Rule Representations Sungyong Seo Sercan Ö. Arik Jinsung Yoon Xiang Zhang Kihyuk Sohn Tomas Pfister OOD AI4CE 27 35 0 14 Jun 2021
Locally Sparse Neural Networks for Tabular Biomedical Data Junchen Yang Ofir Lindenbaum Y. Kluger 17 33 0 11 Jun 2021
FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information Rami Aly Zhijiang Guo M. Schlichtkrull James Thorne Andreas Vlachos Christos Christodoulopoulos O. Cocarascu Arpit Mittal HILM 19 173 0 10 Jun 2021
Muddling Label Regularization: Deep Learning for Tabular Datasets Karim Lounici Katia Méziani Benjamin Riu 11 6 0 08 Jun 2021
Tabular Data: Deep Learning is Not All You Need Ravid Shwartz-Ziv Amitai Armon LMTD 11 1,200 0 06 Jun 2021
Impact of data-splits on generalization: Identifying COVID-19 from cough and context Makkunda Sharma Nikhil Shenoy Jigar Doshi Piyush Bagad Aman Dalmia Parag Bhamare A. Mahale S. Rane Neeraj Agrawal R. Panicker OOD 39 4 0 05 Jun 2021
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning Jannik Kossen Neil Band Clare Lyle Aidan N. Gomez Tom Rainforth Y. Gal OOD 3DPC 22 137 0 04 Jun 2021
NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning C. Chang R. Caruana Anna Goldenberg AI4CE 16 80 0 03 Jun 2021
Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins S. Suri Ihab F. Ilyas Christopher Ré Theodoros Rekatsinas 25 21 0 02 Jun 2021
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training Gowthami Somepalli Micah Goldblum Avi Schwarzschild C. B. Bruss Tom Goldstein LMTD 10 309 0 02 Jun 2021
Analysis of Vision-based Abnormal Red Blood Cell Classification Annika Wong Nantheera Anantrasirichai T. Chalidabhongse D. Palasuwan A. Palasuwan David Bull 12 11 0 01 Jun 2021
Synthesising Multi-Modal Minority Samples for Tabular Data Sajad Darabi Yotam Elor 14 10 0 17 May 2021
PyTorch Tabular: A Framework for Deep Learning with Tabular Data Manu Joseph LMTD 15 37 0 28 Apr 2021
Towards Rigorous Interpretations: a Formalisation of Feature Attribution Darius Afchar Romain Hennequin Vincent Guigue FAtt 31 20 0 26 Apr 2021
Highly Efficient Memory Failure Prediction using Mcelog-based Data Mining and Machine Learning C. Yao 12 1 0 24 Apr 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
Fairness in TabNet Model by Disentangled Representation for the Prediction of Hospital No-Show Sabri Boughorbel Fethi Jarray A. Kadri OOD 22 6 0 06 Mar 2021
Significance tests of feature relevance for a black-box learner Ben Dai Xiaotong Shen Wei Pan 15 25 0 02 Mar 2021
Boost then Convolve: Gradient Boosting Meets Graph Neural Networks Sergei Ivanov Liudmila Prokhorenkova AI4CE 51 52 0 21 Jan 2021
GeCo: Quality Counterfactual Explanations in Real Time Maximilian Schleich Zixuan Geng Yihong Zhang D. Suciu 46 61 0 05 Jan 2021
Sequential Deep Learning for Credit Risk Monitoring with Tabular Financial Data Jillian M. Clements Di Xu N. Yousefi Dmitry Efimov 28 41 0 30 Dec 2020
TabTransformer: Tabular Data Modeling Using Contextual Embeddings Xin Huang A. Khetan Milan Cvitkovic Zohar S. Karnin ViT LMTD 151 416 0 11 Dec 2020
Short-Term Flow-Based Bandwidth Forecasting using Machine Learning Maxime Labonne J. López Claude Poletti Jean-Baptiste Munier AI4TS 12 0 0 29 Nov 2020
Tabular Transformers for Modeling Multivariate Time Series Inkit Padhi Yair Schiff Igor Melnyk Mattia Rigotti Youssef Mroueh Pierre L. Dognin Jerret Ross Ravi Nair Erik Altman LMTD AI4TS 19 86 0 03 Nov 2020
Active Learning for Human-in-the-Loop Customs Inspection Sundong Kim Tung Mai Sungwon Han Sungwon Park Thien Khanh Jaechan So Karandeep Singh M. Cha 11 8 0 27 Oct 2020
Not All Datasets Are Born Equal: On Heterogeneous Data and Adversarial Examples Yael Mathov Eden Levy Ziv Katzir A. Shabtai Yuval Elovici AAML 21 14 0 07 Oct 2020
Pay Attention to the cough: Early Diagnosis of COVID-19 using Interpretable Symptoms Embeddings with Cough Sound Signal Processing Ankit Pal Malaikannan Sankarasubbu 22 77 0 06 Oct 2020
Causality Learning: A New Perspective for Interpretable Machine Learning Guandong Xu Tri Dung Duong Q. Li S. Liu Xianzhi Wang XAI OOD CML 8 51 0 27 Jun 2020
SnapBoost: A Heterogeneous Boosting Machine Thomas Parnell Andreea Anghel M. Lazuka Nikolas Ioannou Sebastian Kurella Peshal Agarwal N. Papandreou Haralambos Pozidis 19 0 0 17 Jun 2020
Gaussian Gated Linear Networks David Budden Adam H. Marblestone Eren Sezener Tor Lattimore Greg Wayne J. Veness BDL AI4CE 14 12 0 10 Jun 2020
AttViz: Online exploration of self-attention for transparent neural language modeling Blaž Škrlj Nika Erzen Shane Sheehan Saturnino Luz Marko Robnik-Šikonja Senja Pollak 16 9 0 12 May 2020
Learning Global Transparent Models Consistent with Local Contrastive Explanations Tejaswini Pedapati Avinash Balakrishnan Karthikeyan Shanmugam Amit Dhurandhar FAtt 15 0 0 19 Feb 2020
Electricity Theft Detection with self-attention Paulo Finardi Israel Campiotti Gustavo Plensack R. Souza Rodrigo Nogueira G. Pinheiro R. Lotufo 20 29 0 14 Feb 2020