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Abstract: In text classification, the traditional attention mechanisms usually focus too much on frequent words, and need extensive labeled data in order to learn. This article proposes a perturbation ...
文/ Amish Garg,Google Summer of Code(GSoC) 实习生,译/ Yuan,谷创字幕组,审校/ Xinlei、Lynn Wang,CFUG 社区。 如果你希望能有一种简单 ...
Abstract: Massively amounts of text data have been created on the Internet due to the widespread use of platforms like social media. Text classification is one of the most frequently used techniques ...
What is the NOVA method of food classification? Food processing ensures safety and shelf life by transforming raw components into new products. In the last several decades, this has changed in ...
03/10: Added support for latest transformer versions, which support Llama 3.1, 3.2 and other latest models. Expanded support to evaluate any LLM2vec model, check mteb_eval_custom.py 04/07: Added ...
Aims This study evaluated the use of ophthalmic foundation deep-learning models with cross-modal transfer learning to classify multiple diseases on optical coherence tomography angiography (OCTA) with ...
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