![]() A Novel Method for Classification of Tabular Data Using Convolutional Neural Networks (2020-05).VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain (2020-06).TabTransformer: Tabular Data Modeling Using Contextual Embeddings (2020-12).Converting Tabular Data Into Images for Deep Learning with Convolutional Neural Networks (2021-02).Denoising Autoencoders (DAEs) for Tabular Data (2021-04).SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training (2021-06).Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning (2021-06).Tabular Data: Deep Learning is Not All You Need (2021-06).XBNet: An Extremely Boosted Neural Network (2021-06).Well-tuned Simple Nets Excel on Tabular Datasets (2021-06).Revisiting Deep Learning Models for Tabular Data (2021-06).SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption (2021-06).ARM-Net: Adaptive Relation Modeling Network for Structured Data (2021-07).Deep Neural Networks and Tabular Data: A Survey (2021-10). ![]()
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