SimCSE - Unsupervised Sentence Embeddings
#sentencetrasformers #unsupervisedlearning #naturallanguageprocessing
In this video, we discuss the paper SimCSE - An unsupervised learning method for learning Sentence Embeddings. SimCSE is a contrastive learning framework for generating sentence embeddings. It utilizes an unsupervised approach, which takes an input sentence and predicts itself in contrastive objective, with only standard dropout used as noise.
⏩ IMPORTANT LINKS
Research Paper Summaries: • Simple Unsupervised Keyphrase Extraction u...
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About Me:
I am Prakhar Mishra and this channel is my passion project. I am currently pursuing my MS (by research) in Data Science. I have an industry work-ex of 4+ years in the field of Data Science and Machine Learning with a particular focus on Natural Language Processing (NLP).