js05212/BayesianDeepLearning-Survey
Bayesian Deep Learning: A Survey
This resource provides an up-to-date collection of research papers focused on Bayesian Deep Learning (BDL), a framework for building models that quantify uncertainty. It takes a broad range of research topics (like recommender systems, healthcare, or natural language processing) and provides a curated list of relevant academic papers. This is for researchers, academics, or data scientists interested in understanding the state-of-the-art applications and theoretical advancements of BDL across various fields.
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Use this if you are a researcher or practitioner looking for a comprehensive and organized list of academic papers on Bayesian Deep Learning applications in various domains like healthcare, recommender systems, or computer vision.
Not ideal if you are looking for ready-to-use code, tutorials, or practical implementation guides for BDL models.
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Oct 10, 2025
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