WebApr 8, 2024 · SimCSE with an unsupervised manner applies the standard dropout twice as minimal data augmentation to compose positive pairs. For negatives, they only use all other sentences from the same batch where sentences are randomly sampled. This ignores that the quality of negatives also plays an important role in contrastive learning. WebDec 29, 2024 · To use the tool, first install the simcse package from PyPI pip install simcse Or directly install it from our code python setup.py install Note that if you want to enable GPU encoding, you should install the correct version of PyTorch that supports CUDA. See PyTorch official website for instructions.
[Paper Review] SimCSE : Simple Contrastive Learning of ... - YouTube
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[2109.04380] ESimCSE: Enhanced Sample Building …
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