Adam Coates——百度硅谷人工智能实验室的高级主管

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Adam Coates在斯坦福大学获得计算科学博士学位。目前，他被任命为百度硅谷人工智能实验室的高级主管（Senior Director at Baidu Silicon Valley AI Lab）。他的研究兴趣主要是机器学习、深度学习、控制和机器人（Control & Robotics）。在百度，他的团队用大规模的深度学习技术，通过数十亿的连接训练先进的语音系统网络。从本质上来说，Coates 团队的目标是让机器设备更像人类一样与外界进行交互。

主要著作与出版物：
1.Deep Voice: Real-time Neural Text-to-Speech
2.Persistent RNNs: Stashing recurrent weights on-chip
3.Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
4.An Empirical Evaluation of Deep Learning on Highway Driving
5.Deep Learning with COTS HPC
6.Emergence of Object-Selective Features in Unsupervised Feature Learning
7.End-to-End Text Recognition with Convolutional Neural Networks
8.Learning Feature Representations with K-means
9.Demystifying Unsupervised Feature Learning
10.Selecting Receptive Fields in Deep Networks
11.The Importance of Encoding Versus Training with Sparse Coding and Vector Quantization
12.On Optimization Methods for Deep Learning
13.Text Detection and Character Recognition in Scene Images with Unsupervised Feature Learning
14.An Analysis of Single-Layer Networks in Unsupervised Feature Learning
15.Autonomous Sign Reading for Semantic Mapping
16.Sub-meter Indoor Localization in Unmodified Environments with Inexpensive Sensors
17.Multi-Camera Object Detection for Robotics
18.Talk: Scalable Learning in Computer Vision
19.Scalable Learning for Object Detection with GPU Hardware

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关键词：人工智能 百度 实验室 主管