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Despite their success with unstructured data, deep neural networks are not yet a panacea for structured tabular data.
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Geoffrey E Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, and Ruslan R Salakhutdinov · 2012
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Sergey Ioffe and Christian Szegedy · 2015
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UCI machine learning repository
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Kelwin Fernandes, Jaime S Cardoso, and Jessica Fernandes · 2017
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A unified approach to interpreting model predictions
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Well-tuned simple nets excel on tabular datasets
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Orthogonal over-parameterized training
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Multimodal biomedical AI
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Label-free explainability for unsupervised models
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On embeddings for numerical features in tabular deep learning
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Why do tree-based models still outperform deep learning on tabular data?
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A hybrid self-supervised learning framework for vertical federated learning
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Self-supervised pretraining isolated forest for outlier detection
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Tabular data: Deep learning is not all you need
Ravid Shwartz-Ziv and Amitai Armon · 2022
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TransTab: Learning transferable tabular transformers across tables
Zifeng Wang and Jimeng Sun · 2022
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Deep multimodal learning for lymph node metastasis prediction of primary thyroid cancer
Xinglong Wu, Mengying Li, Xin-wu Cui, and Guoping Xu · 2022
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Improving adaptive conformal prediction using self-supervised learning
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