Less is More: Parameter-Free Text Classification with Gzip · HackerPapers discussions

Less is More: Parameter-Free Text Classification with Gzip — mentioned by teh64

Tue, 22 Sep 2026 19:17:30 GMT

There is an older paper that also looks at gzip for ML: https://arxiv.org/abs/2212.09410 Video from tsoding where he implements the algorithm: https://www.youtube.com/watch?v=9n39SbRPXKQ

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Less is More: Parameter-Free Text Classification with Gzip — mentioned by AlbertoGP

Mon, 17 Jul 2023 06:18:33 GMT

This is interesting, but why don’t they link to the paper? Or at least give its title? The paper is «“Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors»: ACL Anthology, has PDF link: https://aclanthology.org/2023.findings-acl.426/ Arxiv, has PDF link: https://arxiv.org/abs/2212.09410 arXiv Vanity, HTML render of it: https://www.arxiv-vanity.com/papers/2212.09410/ ResearchGate, has PDF link: https://www.researchgate.net/publication/366423949_Less_is_M... This is Listing 1: ”Python Code for Text Classification with gzip.” import gzip import numpy as np…

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Less is More: Parameter-Free Text Classification with Gzip — mentioned by bravura

Sat, 15 Jul 2023 16:46:18 GMT

Compression based ML approaches and hacks are fascinating. My colleague recently sent me this: https://arxiv.org/abs/2212.09410 "Less is More: Parameter-Free Text Classification with Gzip "...We propose a non-parametric alternative to DNNs that's easy, light-weight and universal in text classification: a combination of a simple compressor like gzip with a k-nearest-neighbor classifier. Without any training, pre-training or fine-tuning, our method achieves results that are competitive with non-pretrained deep learning methods on six in-distributed datasets. It even outperforms BERT on all five…

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Less is More: Parameter-Free Text Classification with Gzip — mentioned by skybrian

Thu, 13 Jul 2023 15:21:21 GMT

Here's the Arxiv link from December: https://arxiv.org/abs/2212.09410

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