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DailyPapers

DailyPapers

Daily summaries for top machine learning papers

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DailyPapers is a newsletter that delivers daily summaries of top machine learning papers. With thousands of ML papers published every week, identifying what truly matters is a challenge. DailyPapers filters and summarizes the most relevant research based on your chosen sub-fields such as 3D Vision and Geometry, Medical Imaging, Foundation Models (LLMs, Diffusion), Music & Audio Generation, and more... so you can focus on reading, not searching.
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Hey Folks, Taha here. Keeping up with machine learning research is hard, hundreds of papers are published everyday, and finding the ones that actually matter is time-consuming. We built DailyPapers to solve this problem. It’s a newsletter that filters and summarizes top ML papers every day, filtering them based on your chosen sub-fields. The goal is simple: spend less time scrolling through papers and more time learning from the research that’s relevant to you. We’d love your feedback especially on the paper selection, summaries, and supported ML fields. Thanks for checking it out!