terryum/awesome-deep-learning-papers

The most cited deep learning papers

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This list provides a curated collection of the most impactful deep learning research papers published between 2012 and 2016. It offers a structured starting point for understanding foundational concepts and breakthroughs in various areas of deep learning. Researchers, students, and practitioners can use this list to identify essential reading for their studies or projects.

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Use this if you are a researcher or student looking for a concise, hand-picked list of seminal deep learning papers to understand the core advancements from 2012-2016.

Not ideal if you need a comprehensive, up-to-date list of every deep learning paper, especially those published after 2016.

deep-learning-research machine-learning-education computer-vision-foundations natural-language-processing-research ai-history
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