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Merge pull request #255 from basf/readme_fix_mca
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README.md

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@@ -23,7 +23,7 @@ Mambular is a Python library for tabular deep learning. It includes models that
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<h3>⚡ What's New ⚡</h3>
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<ul>
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<li>New Models: `Tangos`, `AutoInt`, `Trompt`</li>
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<li>New Models: `Tangos`, `AutoInt`, `Trompt`, `ModernNCA`</li>
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<li>Pretraining optionality for suitable models.</li>
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<li>Individual preprocessing: preprocess each feature differently, use pre-trained models for categorical encoding</li>
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<li>Extract latent representations of tables</li>
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| `AutoInt` | Automatic Feature Interaction Learning via Self-Attentive Neural Networks introduced [here](https://arxiv.org/abs/1810.11921). |
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| `Trompt` | Trompt: Towards a Better Deep Neural Network for Tabular Data introduced [here](https://arxiv.org/abs/2305.18446). |
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| `Tangos` | Tangos: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization introduced [here](https://openreview.net/pdf?id=n6H86gW8u0d). |
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| `ModernNCA` | Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later introduced [here](https://arxiv.org/abs/2407.03257). |
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