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We ❤️ reading ML papers so we have created this repo to highlight the top ML papers for every week.
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-📣 You can now subscribe to get the list of top ML papers in your inbox [here](https://www.linkedin.com/newsletters/ml-papers-of-the-week-7020865424875474944/).
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+📣 You can follow us on [Twitter](https://twitter.com/dair_ai) or subscribe to get the list of top ML papers in your inbox [here](https://www.linkedin.com/newsletters/ml-papers-of-the-week-7020865424875474944/).
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## Top ML Papers of the Week (Jan 9-15)
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@@ -43,6 +43,5 @@ We use a combination of AI-powered tools, analytics, and human curation to build
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| 10) **A Succinct Summary of Reinforcement Learning** -- A nice little overview of some important ideas in RL. | [Paper](https://arxiv.org/abs/2301.01379), [Tweet](https://twitter.com/dair_ai/status/1612153114773053446?s=20&t=ChwZWzSmoRlZKnD54fsV6w) |
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---
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-[Subscribe to our newsletter](https://nlpnews.substack.com/) to stay on top of ML research and trends.
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We use a combination of AI-powered tools, analytics, and human curation to build the lists of papers.
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