研究|对偶学习:一种新的机器学习范式 this blog copy from: http://www.msra.cn/zh-cn/news/blogs/2016/12/dual-learning-20161207.aspx 秦涛 作者简介 秦涛博士,现任微软亚洲研究院主管研究员.他和他的小组的研究领域是机器学习和人工智能,研究重点是深度学习和强化学习的算法设计.理论分析及在实际问题中的应用.他在国际顶级会议和期刊上发表学术论文80余篇,曾任SIGIR.ACML.AAMAS领域主席,担任多个国际…
Machine Learning for Developers Most developers these days have heard of machine learning, but when trying to find an 'easy' way into this technique, most people find themselves getting scared off by the abstractness of the concept of Machine Learnin…
A Summary of Multi-task Learning author by Yubo Feng. Intro In this paper[0], the introduction of multi-task learning through the data hungry, the most common problem of Deep Learning[1]. Basic assumption: tasks are related. MTL mimic human learning…
IEEE International Conference on Computer Vision, ICCV 2017, Venice, Italy, October 22-29, 2017. IEEE Computer Society 2017, ISBN 978-1-5386-1032-9 Oral Session 1 Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose and Feature Corre…
really-awesome-gan A list of papers and other resources on General Adversarial (Neural) Networks. This site is maintained by Holger Caesar. To complement or correct it, please contact me at holger-at-it-caesar.com or visit it-caesar.com. Also checkou…
100 Most Popular Machine Learning Video Talks 26971 views, 1:00:45, Gaussian Process Basics, David MacKay, 8 comments 7799 views, 3:08:32, Introduction to Machine Learning, Iain Murray 16092 views, 1:28:05, Introduction to Support Vector Machines, C…
Deep Reinforcement Learning Papers A list of recent papers regarding deep reinforcement learning. The papers are organized based on manually-defined bookmarks. They are sorted by time to see the recent papers first. Any suggestions and pull requests…
Evolution Strategies as a Scalable Alternative to Reinforcement Learning this blog from: https://blog.openai.com/evolution-strategies/ MARCH 24, 2017 Evolution Strategies as a Scalable Alternative to Reinforcement Learning We’ve discovered that evo…
this blog from: https://github.com/LantaoYu/MARL-Papers Paper Collection of Multi-Agent Reinforcement Learning (MARL) This is a collection of research and review papers of multi-agent reinforcement learning (MARL). The sharing principle of these refe…
this blog from: https://opendatascience.com/blog/notes-on-representation-learning-1/ Notes on Representation Learning By Zac Kriegman, Senior Data Scientist in the Thomson Reuters Data Innovation Lab | 02/07/2017 Tags: Deep Learning , Neural Networ…
Where can I start with Deep Learning? By Rotek Song, Deep Reinforcement Learning/Robotics/Computer Vision/iOS | 03/01/2017 If you are a newcomer to the Deep Learning area, the first question you may have is “Which paper should I start reading from?…
this blog from: http://blog.demofox.org/2017/03/09/how-to-train-neural-networks-with-backpropagation/ How to Train Neural Networks With Backpropagation Posted on March 9 2017 by Demofox This post is an attempt to demystify backpropagation, which is t…
最近deep learning大火,不仅仅受到学术界的关注,更在工业界受到大家的追捧.在很多重要的评测中,DL都取得了state of the art的效果.尤其是在语音识别方面,DL使得错误率下降了大约30%,取得了显著的进步,现在如果哪个做语音识别的公司没用DL,都不好意思打招呼了,相信后续这种状况还会延伸到图像和自然语言处理等其它领域. deep learning本身算是machine learning的一个分支,简单可以理解为neural network的发展.大约二三十年前,neu…
读书会成立属于偶然,一次群里无聊到极点,有人说Pattern Recognition And Machine Learning这本书不错,加之有好友之前推荐过,便发了封群邮件组织这个读书会,采用轮流讲课的方式,如果任务能分配下去就把读书会当作群员的福利开始进行,分配不下去就算了.后来我的几位好友:网神兄.戴玮博士.张巍博士.planktonli老师.常象宇博士纷纷出来支持这个读书会.待任务分配完,设置好主持人和机动队员,我认为就不需要再参与了,但进行不久,也充当机动队员讲了第二.六.九.十一章,…
https://jmetzen.github.io/2015-01-29/ml_advice.html Advice for applying Machine Learning This post is based on a tutorial given in a machine learning course at University of Bremen. It summarizes some recommendations on how to get started with machin…
