2019中国人工智能发展报告

2019人工智能发展报告2019 Report of Artificial Intelligence Development清华大学-中国工程院知识智能联合研究中心中国人工智能学会吴文俊人工智能科学技术奖评选基地2019 年 编写委员会（按姓氏拼音排序） 主 编：李涓子 唐 杰 编 委：曹 楠 程 健 贾 珈 李国良 刘华平 宋德雄 喻 纯 余有成 朱 军 刘 佳 编 程时伟 韩 腾 侯 磊 刘德兵 骆昱宇 麻晓娟 仇 瑜 王若琳 责任编辑：景晨技术支持：崔义言辑：毕小俊刘越徐菁电 子 版：《2019中国人工智能发展报告》下载链接：ht t ps: //pan. bai du. com/s/1sl KE4WxsWvTy8kVj m6hui Q提 取 码：z4nn 1 1 编制概要 ······················································································· 1 1.1 编制背景 ········································································ 1 1.2 编制目标与方法 ······························································· 3 2 机器学习 ······················································································· 4 2.1 机器学习概念 ·································································· 4 2.2 机器学习发展历史 ···························································· 6 2.3 机器学习经典算法 ···························································· 7 2.4 深度学习 ······································································· 21 2.4.1 卷积神经网络 ························································· 24 2.4.2 AutoEncoder ···························································· 26 2.4.3 循环神经网络 RNN ·················································· 28 2.4.4 网络表示学习与图神经网络（GNN） ·························· 30 2.4.5 增强学习 ······························································· 32 2.4.6 生成对抗网络 ························································· 34 2.4.7 老虎机 ·································································· 35 2.5 人才概况 ······································································· 37 2.6 代表性学者简介 ······························································ 39 2.6.1 国际顶级学者 ························································· 40 2.6.2 国内知名学者 ························································· 50 2.7 论文解读 ······································································· 60 2.7.1 ICML 历年最佳论文解读 ··········································· 63 2.7.2 NeurlPS 历年最佳论文解读········································· 71 3 计算机视觉 ··················································································· 85 3.1 计算机视觉概念 ······························································ 85 3.2 计算机视觉发展历史 ························································ 87 3.3 人才概况 ······································································· 89 3.4 论文解读 ······································································· 91 3.5 计算机视觉进展 ···························································· 105 4 知识工程 ···················································································· 107 4.1 知识工程概念 ······························································· 107 4.2 知识工程发展历史 ························································· 108 4.3 人才概况 ····································································· 111 4.4 论文解读 ·························