cocosci.mit.edu
MIT Computational Cognitive Science Group - People
http://cocosci.mit.edu/people
MIT Computational Cognitive Science Group. Department of Brain and Cognitive Sciences, MIT. In my research, I develop mathematical models of the way children learn language and the way adults generalize linguistic rules to create new words and sentences. My research draws on experimental methods from psychology, formal modeling techniques from natural language processing, theoretical tools from linguistics, and problems from all three. I am interested in these basic questions, working on modeling both in...
csdn.net
CVPR 2015深度学习回顾：ConvNet、Caffe、Torch及其他-CSDN.NET
http://www.csdn.net/article/2015-08-06/2825395
本文是vision.ai的Co-Founder，前MIT研究人员T. Malisiewicz针对CVPR'15尤其是Deep Learning的综述文章，谈到了ConvNet的Baseline，Caffe和Torch之间的分歧，ArXiv论文热，以及百度的ImageNet违规事件等。 CVPR可谓计算机视觉领域的奥运会，这是vision.ai的Co-Founder，前MIT研究人员T. Malisiewicz针对CVPR'15尤其是Deep Learning的综述文章，谈到了ConvNet的Baseline，Caffe和Torch之间的分歧，ArXiv论文热，以及百度的ImageNet违规事件等。 原文标题为 Deep down the rabbit hole: CVPR 2015 and beyond。 数据集通常是一件大事 请下载我们的数据 数据集依旧是件大事 但是我们抱歉告诉你，你所在大学的计算资源达不到要求 但幸运的是，我们 X 公司总在招聘，所以来加入我们吧，让我们一起推动研究的向前发展。 如果你想要查看个人文献，我建议Andrej Karpathy的 CVPR 2015文献在线导航工具.
probcomp.csail.mit.edu
The MIT Probabilistic Computing Project
http://probcomp.csail.mit.edu/index.html
The MIT Probabilistic Computing Project. The MIT Probabilistic Computing Project aims to build software and hardware systems that augment human and machine intelligence. We are currently focused on probabilistic programming. Probabilistic programming is an emerging field that draws on probability theory, programming languages, and systems programming to provide concise, expressive languages for modeling and general-purpose inference engines that both humans and machines can use. Convening in Seattle, org...
