all AI news
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 …
applications banking commerce cs.ai cs.lg e-commerce event generative generative modeling healthcare hybrid hybrid approach key modeling self-supervised learning study supervised learning
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US