DMLR
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About
DMLR is a workshop focused on advancing data-centric approaches in machine learning, particularly relevant to large-scale foundational models. It emphasizes the importance of data quality, size, and provenance as a crucial aspect of machine learning research. The event features cutting-edge advancements, engages a community of researchers and practitioners, and addresses practical data challenges across various domains. The workshop includes keynotes, discussions, and networking opportunities, and invites innovative research in the field. A significant theme is the impact of datasets on model performance, ethics in data usage, and the construction and evaluation of datasets for specific applications.
Platform
Features
• interdisciplinary collaboration
• workshops and networking sessions
• opportunities for paper submissions
• keynotes from industry experts
• focus on data quality in machine learning
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