hugochan/AI-Papers
Favorite AI papers
This is a curated collection of foundational and influential papers across various fields of artificial intelligence, including deep learning, probabilistic graphic models, natural language processing, computer vision, and knowledge graph construction. It provides an organized way to explore key research in AI. Researchers, students, and AI practitioners looking to understand core concepts and advancements in AI would find this useful.
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Use this if you are an AI researcher, student, or practitioner seeking to explore, learn about, or keep up with significant academic papers in artificial intelligence domains.
Not ideal if you are looking for ready-to-use code implementations, tutorials, or a general introduction to AI concepts for beginners.
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Jul 28, 2017
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