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…
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…
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…
论文信息 论文标题:Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning论文作者:Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu论文来源:2020 ICDM论文地址:download 论文代码:download 1 Introduction 创新点:提出一种新的子图对比度自监督表示学习方法,利用…
随着AlphaGo和AlphaZero的出现,强化学习相关算法在这几年引起了学术界和工业界的重视.最近也翻了很多强化学习的资料,有时间了还是得自己动脑筋整理一下. 强化学习定义 先借用维基百科上对强化学习的标准定义: 强化学习(Reinforcement Learning,简称RL)是机器学习中的一个领域,强调如何基于环境而行动,以取得最大化的预期利益. 从本质上看,强化学习是一个通用的问题解决框架,其核心思想是 Trial & Error. 强化学习可以用一个闭环示意图来表示: 强化学习四元素…
Evolutionary approaches towards AI: past, present, and future 2019-10-06 07:28:13 This blog is from: https://towardsdatascience.com/evolutionary-approaches-towards-ai-past-present-and-future-b23ccb424e98 Table of Contents Introduction Genetics and na…
resource: Evolutionary computing, A.E.Eiben Outline What is Evolution Strategies Introductory Example Representation Mutation 1. What is Evolution Strategies (ES) Evolution strategies(ES) is another member of the evolutionary algorithm family. ES tec…
Illustrated: Efficient Neural Architecture Search --- Guide on macro and micro search strategies in ENAS 2019-03-27 09:41:07 This blog is copied from: https://towardsdatascience.com/illustrated-efficient-neural-architecture-search-5f7387f9fb6 Designi…
Recurrent Neural Network 2016年07月01日  Deep learning  Deep learning 字数:24235   this blog from: http://jxgu.cc/blog/recent-advances-in-RNN.html    References Robert Dionne Neural Network Paper Notes Baisc Improvements 20170326 Learning Simpler Language…
@ 目录 概 主要内容 DE/rand/1/bin DE/?/?/? DE/rand/1/exp DE/best/1 DE/best/2 DE/rand/2 超参数的选择 的选择 的选择 的选择 一些连续变体 A B C D E G 一些缺点 代码 Das S, Suganthan P N. Differential Evolution: A Survey of the State-of-the-Art[J]. IEEE Transactions on Evolutionary Computat…
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?…
Transferable NAS with RL 2018-CVPR-Learning Transferable Architectures for Scalable Image Recognition Author:Barret Zoph(Google Brain).Quoc V. Le(Google Brain)etc. GitHub: https://github.com/aussetg/nasnet.pytorch https://github.com/MarSaKi/nasnet Ci…
ICLR 2014 International Conference on Learning Representations Apr 14 - 16, 2014, Banff, Canada Workshop Track Submitted Papers Stochastic Gradient Estimate Variance in Contrastive Divergence and Persistent Contrastive Divergence Mathias Berglund, Ta…
CVPR2017 paper list Machine Learning 1 Spotlight 1-1A Exclusivity-Consistency Regularized Multi-View Subspace Clustering Xiaojie Guo, Xiaobo Wang, Zhen Lei, Changqing Zhang, Stan Z. Li Borrowing Treasures From the Wealthy: Deep Transfer Learning Thro…
About this Course You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how. Much of this content has never been…
http://exploredegrees.stanford.edu/coursedescriptions/cs/ CS 101. Introduction to Computing Principles. 3-5 Units. Introduces the essential ideas of computing: data representation, algorithms, programming "code", computer hardware, networking, s…
HOME ABOUT CONTACT SUBSCRIBE VIA RSS   DEEP LEARNING FOR ENTERPRISE Distributed Deep Learning, Part 1: An Introduction to Distributed Training of Neural Networks Oct 3, 2016 3:00:00 AM / by Alex Black and Vyacheslav Kokorin Tweet inShare27   This pos…
The Brain as a Universal Learning Machine This article presents an emerging architectural hypothesis of the brain as a biological implementation of a Universal Learning Machine.  I present a rough but complete architectural view of how the brain work…
https://msdn.microsoft.com/en-us/library/ff647787.aspx Retired Content This content is outdated and is no longer being maintained. It is provided as a courtesy for individuals who are still using these technologies. This page may contain URLs that we…
有些国外的平台.社区.博客如果连接无法打开,那说明可能需要"科学"上网 量化交易平台 国内在线量化平台: BigQuant - 你的人工智能量化平台 - 可以无门槛地使用机器学习.人工智能开发量化策略,基于python,提供策略自动生成器 镭矿 - 基于量化回测平台果仁网 - 回测量化平台 京东量化 - 算法交易和量化回测平台 聚宽 - 量化回测平台 优矿 - 通联量化实验室 Ricequant - 量化交易平台 况客 - 基于R语言量化回测平台 Factors - 数库多因子量化平台…
https://github.com/onurakpolat/awesome-bigdata A curated list of awesome big data frameworks, resources and other awesomeness. Inspired by awesome-php, awesome-python, awesome-ruby, hadoopecosystemtable & big-data. Your contributions are always welco…
AutoML for Data Augmentation 2019-04-01 09:26:19 This blog is copied from: https://blog.insightdatascience.com/automl-for-data-augmentation-e87cf692c366   DeepAugment is an AutoML tool focusing on data augmentation. It utilizes Bayesian optimization…
Awesome Courses  Introduction There is a lot of hidden treasure lying within university pages scattered across the internet. This list is an attempt to bring to light those awesome courses which make their high-quality material i.e. assignments, lect…
Conferences ACM SEACM Southeast Regional Conference ACM Southeast Regional Conference the oldest, continuously running, annual conference of the ACM. ACMSE provides an excellent forum for both faculty and students to present their research in a frien…
ICLR 2013 International Conference on Learning Representations May 02 - 04, 2013, Scottsdale, Arizona, USA ICLR 2013 Workshop Track Accepted for Oral Presentation Zero-Shot Learning Through Cross-Modal Transfer Richard Socher, Milind Ganjoo, Hamsa Sr…
ICLR 2016 - Workshop Track International Conference on Learning Representations May 2 - 4, 2016, Caribe Hilton, San Juan, Puerto Rico Please see the venue website (http://www.iclr.cc/doku.php?id=iclr2016:main) for more information. Submission deadlin…
Problems[show] Classification Clustering Regression Anomaly detection Association rules Reinforcement learning Structured prediction Feature engineering Feature learning Online learning Semi-supervised learning Unsupervised learning Learning to rank…
最近在学深度学习相关的东西,在网上搜集到了一些不错的资料,现在汇总一下: Free Online Books  by Yoshua Bengio, Ian Goodfellow and Aaron Courville Neural Networks and Deep Learning42 by Michael Nielsen Deep Learning27 by Microsoft Research Deep Learning Tutorial23 by LISA lab, University…
from: http://www.erogol.com/broad-view-machine-learning-libraries/ http://www.slideshare.net/VincenzoLomonaco/deep-learning-libraries-and-rst-experiments-with-theano FEBRUARY 6, 2014 EREN 1 COMMENT Especially, with the advent of many different and in…
An overview of gradient descent optimization algorithms Table of contents: Gradient descent variantsChallenges Batch gradient descent Stochastic gradient descent Mini-batch gradient descent Gradient descent optimization algorithms Momentum Nesterov a…