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  • title: Unsupervised Embedding Quality Evaluation
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            Unsupervised Embedding Quality Evaluation
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            Unsupervised Embedding Quality Evaluation

            Jul 28, 2023

            Speakers

            AT

            Anton Tsitsulin

            Speaker · 0 followers

            MM

            Marina Munkhoeva

            Speaker · 0 followers

            BP

            Bryan Perozzi

            Speaker · 0 followers

            About

            Unsupervised learning has recently significantly gained in popularity, especially with deep learning-based approaches. Despite numerous successes and approaching supervised-level performance on a variety of academic benchmarks, it is still hard to train and evaluate SSL models in practice due to the unsupervised nature of the problem. Even with networks trained in a supervised fashion, it is often unclear whether they will perform well when transferred to another domain.Past works are generally…

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            ICML 2023

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