而且价格不菲,在构建RL算法的时候不得不从sample efficiency角度出发,所以Levine提出了GPS以及相关的一堆...
但 DeepMind 一如既往把事情做到极致)接触 AI 久一点的应该都听说过技术奇点(singularity),身边很久没...
在每个macro的末尾附加一篇blog ,总结自己所学到的知识。阅读论文时,随时在YouTube上记录它们。通过这种方式,你会学得更好,也会帮助到更多的人。在macro中间开源一个project。在那之后,你会发现,你读过的所有paper都变得有意思了。NLP & transformers想要了解BERT,想要了解GPT庞大的家族系谱?Transformer可以帮助...
https://www.reddit.com/r/MachineLearning/comments/q2ab5p/d_how_i_got_a_job_at_deepmind_as_a_research/ https://gordicaleksa.medium.com/how-i-got-a-job-at-deepmind-as-a-research-engineer-without-a-machine-learning-degree-1a45f2a781de...
⭐Writing the initial experiment code for nearly every research paper I've written in the last year.为我去年写的几乎每一篇研究论文编写初始实验代码。⭐Automating nearly every monotonous task or one-off script.自动化几乎所有单调的任务或一次性脚本。⭐Almost entirely replaced web searches for ...
research ever since. In February 2015 their paper “Human-level control through deep reinforcement learning” was featured on the cover of Nature, one of the most prestigious journals in science. In this paper they applied the same model to 49 different games and achieved superhuman performance ...
Blog:https://deepmind.com/research/publications/alchemy Github:https://github.com/deepmind/dm_alchemy Paper:https://arxiv.org/pdf/2102.02926.pdf 完
以GPT-3 为代表的预训练语言模型的发展,引发对小样本自然语言理解任务的极大关注。各种方法不断发展并展现出日渐强大的小样本自然语言理解性能。然而,来自清华大学、DeepMind 等团队的研究者近期的一项研究指出:相同基准再评估结果表明,现有小样本学习方法并不足够稳定有效,小样本自然语言理解发展尚面临巨大挑战!
博客地址:https://astroautomata.com/paper/symbolic-neural-nets/ GitHub 地址:https://github.com/MilesCranmer/symbolic_deep_learning 交互式 demo 地址:https://colab.research.google.com/github/MilesCranmer/symbolic_deep_learning/blob/master/GN_Demo_Colab.ipynb ...
Research Papers on AI, Neuroscience, etc published by DeepMind, Google.Data CardCode (1)Discussion (0)Suggestions (0)Dataset Notebooks search filter_listFilters AllYour WorkShared With YouBookmarks Hotness ResearchPaperSummaryUpdated 1y ago 0 comments· DeepMind Research Papers arrow_drop_up7 more...