来自 DeepMind 的两篇重要论文，关于免模型规划和一般化的贡献分配研究。值得大家研读。感兴趣的小伙伴 可以私信我。我们将在近期分享解析。 ...
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PapeRman #1
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Things you Must know to Build AGI
Trends on computation Assertion-based analysis; Conditional transformati...
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想象不到的福利 | UAI 人工智能大学 『AI 成长社』终身制
AI人的路途，注定是一个孤独的旅程，需要力量温暖。看到了很多线上和线下的课程，UAI深知AI学习者的痛点，知道你们无法被市面上的AI课程所满足。...
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Trust, confidence and Verifiable Data Audit
https://deepmind.com/blog/trust-confidence-verifiable-data-audit/ Data c...
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DeepMind’s work in 2016: a round-up
AuthorsTuesday, 3 January 2017 Demis HassabisCo-Founder & CEO, DeepMind ...
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50 things I learned at NIPS 2016 by Andreas Stuhlmüller
注明：本文全文转载https://blog.ought.com/nips-2016-875bb8fadb8c I learned many th...
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Overcoming catastrophic forgetting in neural networks
https://arxiv.org/pdf/1612.00796v1.pdf The ability to learn tasks in a s...
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读论文Hybrid computing using a neural network with dynamic external memory （一）又是一篇deepmind发表在nature上的文章，还记得前面2篇吗？一篇是DQN，一篇讲AlphaGo。发表在nature上的论文格式不太一样...
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Using Fast Weights to Attend to the Recent Past
Until recently, research on artificial neural networks was largely restr...
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GAIC 全球人工智能大会预热之四——深度强化学习的来头Neil Zhu，简书ID Not_GOD，University AI 创始人 & Chief Scientist，致力于推进世界人工智能化进程...
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