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Self-Supervised Learning in Event Sequences: A Comparative Study and Hybrid Approach of Generative Modeling and Contrastive Learning
Jan. 31, 2024, 3:47 p.m. | Viktor Moskvoretskii Dmitry Osin Egor Shvetsov Igor Udovichenko Maxim Zhelnin Andrey Dukhovny Anna Zhi
cs.LG updates on arXiv.org arxiv.org
We perform a comprehensive study of generative and contrastive approaches in self-supervised learning, applying them both independently. We find that there is no single supreme method. Consequently, we explore the potential benefits of combining these approaches. To achieve this goal, we introduce a novel method that aligns generative and contrastive embeddings …
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