Actions Panel
如何用1/6000的训练数据击败深度学习——文字识别实验讨论
Date and time
Location
RobotX Space
Suite 300 (Floor 3) 4500 Great America Pkwy Santa Clara, CA 95054Refund Policy
Description
注意:场地容量有限,为确保有兴趣的同学能听到我们的讲座,自上次活动开始,每张门票收取$10,到场的同学会全额退款。
Registration
- Registration link: tech-meetup-01-22-2017.eventbrite.com/
- Event link: (Bay Area) 如何用1/6000的训练数据击败深度学习——文字识别实验讨论
Event Info
- Language: Chinese
- Time: 1:30PM ~ 4:00PM, 01/22/2016, Sunday
- Location: Suite 300 (Floor 3), 4500 Great America Pkwy, Santa Clara, CA 95054
Agenda
- 1:30pm - 2:00pm: Reception and social time
- 2:00pm - 3:30pm: Talk and QA
- 3:30pm - 4:00pm: offline networking
Abstract
Vicarious AI is an artificial intelligence core technology R&D startup based in Silicon Valley, USA. Vicarious approaches AI with a very unique brain-inspired strategy, drawing inspirations from neuroscience and cognitive science and combining them with modern computational modeling techniques such as probabilistic graphical models (PGM). In this talk, we will present Vicarious' recent papers on generative shape models and hierarchical feature learning. We will discuss our performance on public text recognition benchmarks and show how to outperform deep learning using 6000 times less amount of training data.
Speaker Bio
Xinghua Lou, Ph.D., is Head of Commercialization at Vicarious AI. Xinghua is a veteran machine learning researcher and practitioner. He has published in many renowned venues such as NIPS, ICML, CVPR, MIT Press, and has won the best paper award in 2012 Machine Learning for Medical Imaging. Xinghua's current interest is connecting Vicarious AI to impactful real world applications.
LinkedIn: www.linkedin.com/in/xinghualou
WeChat: xlou818
主办
协办
- 南京大学硅谷校友会
- 硅谷清华联网
- 北京大学北加州校友会
- 东南大学硅谷校友会
- 中国科技大学校友会创业俱乐部
- 浙江大学校友会海纳创新创业俱乐部
- 武汉大学北加州校友会
- 北京航空航天大学硅谷校友会
- 北加州清华校友会
- 吉林大学硅谷校友会
- 复旦大学北加州校友会
- 北加州华中科技大学校友会
- 华人事业互助会
- 斯坦福中国学生学者联谊会(ACSSS)
- 长城会 RobotX Space
- 硅谷商学院
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