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davidbonet committed Feb 24, 2024
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# HyperFast : Instant Classification for Tabular Data

[HyperFast](https://openreview.net/forum?id=VRBhaU8IDz) is a hypernetwork designed for fast classification of tabular data, capable of scaling to large datasets. Utilizing a meta-trained hypernetwork, HyperFast generates a dataset-specific target network in a single forward pass, eliminating the need for time-consuming model training.
[HyperFast](https://arxiv.org/abs/2402.14335) is a hypernetwork designed for fast classification of tabular data, capable of scaling to large datasets. Utilizing a meta-trained hypernetwork, HyperFast generates a dataset-specific target network in a single forward pass, eliminating the need for time-consuming model training.


## Installation
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## Cite us

If you use HyperFast in your research, please cite our [paper](https://openreview.net/forum?id=VRBhaU8IDz):
If you use HyperFast in your research, please cite our [paper](https://arxiv.org/abs/2402.14335):

```latex
@inproceedings{bonet2023hyperfast,
@inproceedings{bonet2024hyperfast,
title={HyperFast: Instant Classification for Tabular Data},
author={Bonet, David and Montserrat, Daniel Mas and Gir{\'o}-i-Nieto, Xavier and Ioannidis, Alexander},
booktitle={NeurIPS 2023 Second Table Representation Learning Workshop},
year={2023}
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
year={2024}
}
```

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