curryandsun/neural_network_papers
记录一些读过的论文，给出个人对论文的评分情况并简述论文insight
This is a curated collection of research paper summaries and personal ratings, primarily focused on neural networks and deep learning. It helps researchers, PhD students, and AI practitioners quickly grasp the core insights and value of academic papers without reading each one in its entirety. The input is a research paper (often from arXiv), and the output is a concise summary, a rating, and a link to the original.
161 stars. No commits in the last 6 months.
Use this if you need to efficiently survey and prioritize academic papers in deep learning, especially concerning robust AI and utilizing unlabeled data.
Not ideal if you are looking for a comprehensive, unbiased literature review or an automated paper recommendation system.
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Last pushed
Sep 22, 2022
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