draw.io

• intro: an app to create diagrams. You can use it online, download it or add it to Android and iOS for free
• homepage: https://www.draw.io/

ComputerVisionFoundation Videos

https://www.youtube.com/channel/UC0n76gicaarsN_Y9YShWwhw/playlists

ECCV 2018

ECCV 2018 papers

http://openaccess.thecvf.com/ECCV2018.py

ICML 2018

DeepMind papers at ICML 2018

Facebook Research at ICML 2018

https://research.fb.com/facebook-research-at-icml-2018/

ICML 2018 Notes

• day1: https://gmarti.gitlab.io/ml/2018/07/10/icml18-tutorials.html
• day2: https://gmarti.gitlab.io/ml/2018/07/11/icml18-day-2.html
• day3: https://gmarti.gitlab.io/ml/2018/07/12/icml18-day-3.html
• day4: https://gmarti.gitlab.io/ml/2018/07/13/icml18-day-4.html

ICML 2018 Notes

• notes: https://david-abel.github.io/blog/posts/misc/icml_2018.pdf
• github: https://david-abel.github.io/

IJCAI 2018

Proceedings of IJCAI 2018

https://www.ijcai.org/proceedings/2018/

CVPR 2018

CVPR 2018 open access

http://openaccess.thecvf.com/CVPR2018.py

CVPR18: Tutorials

• youtube: https://www.youtube.com/playlist?list=PL_bDvITUYucD54Ym5XKGqTv9xNsrOX0aS
• bilibili: https://www.bilibili.com/video/av27038992/

VALSE 2018

http://ice.dlut.edu.cn/valse2018/programs.html

NIPS 2017

NIPS 2017 Spotlights

• youtube: https://www.youtube.com/playlist?list=PLbVjlVq6hjK89WtlGHdC_PNwcawrzht5S

NIPS 2017 — notes and thoughs

https://olgalitech.wordpress.com/2017/12/12/nips-2017-notes-and-thoughs/

NIPS 2017 Notes

• notes: https://cs.brown.edu/~dabel/blog/posts/misc/nips_2017.pdf
• blog: https://cs.brown.edu/~dabel/blog.html

NIPS 2017

• intro: A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017
• github: https://github.com//hindupuravinash/nips2017

Global NIPS 2017 Paper Implementation Challenge

• intro: 8th December 2017 - 31st January 2018 (Application closed)
• homepage: https://nurture.ai/nips-challenge

ICCV 2017

ICCV 2017 open access

http://openaccess.thecvf.com/ICCV2017.py

ICCV 2017 Workshops, Venice Italy

http://openaccess.thecvf.com/ICCV2017_workshops/menu.py

ICCV17 Tutorials

https://www.youtube.com/playlist?list=PL_bDvITUYucBGj2Hmv1e7CP9U82kHWVOT

Facebook at ICCV 2017

https://research.fb.com/facebook-at-iccv-2017/

ICCV 2017 Tutorial on GANs

• homepage: https://sites.google.com/view/iccv-2017-gans/schedule
• youtube: {https://www.youtube.com/playlist?list=PL_bDvITUYucDEzjMTgh1cgtTIODZe3prZ}(https://www.youtube.com/playlist?list=PL_bDvITUYucDEzjMTgh1cgtTIODZe3prZ)

ILSVRC 2017

Overview of ILSVRC 2017

http://image-net.org/challenges/talks_2017/ILSVRC2017_overview.pdf

ImageNet: Where are we going? And where have we been?

• intro: by Fei-Fei Li, Jia Deng
• slides: http://image-net.org/challenges/talks_2017/imagenet_ilsvrc2017_v1.0.pdf

Deep Learning and Reinforcement Learning Summer School 2017

• homepage: https://mila.umontreal.ca/en/cours/deep-learning-summer-school-2017/
• slides: https://mila.umontreal.ca/en/cours/deep-learning-summer-school-2017/slides/
• mirror: https://pan.baidu.com/s/1eSvijvW#list/path=%2F

ICLR 2017

ICLR 2017 Videos

https://www.facebook.com/pg/iclr.cc/videos/

CVPR 2017

CVPR 2017 open access

http://openaccess.thecvf.com/CVPR2017.py

CVPR 2017 Workshops, Honolulu Hawaii

http://openaccess.thecvf.com/CVPR2017_workshops/menu.py

CVPR 2017 Tutorial

CVPR’17 Tutorial: Deep Learning for Objects and Scenes

http://deeplearning.csail.mit.edu/

Lecture 1: Learning Deep Representations for Visual Recognition

• intro: by Kaiming He
• slides: http://deeplearning.csail.mit.edu/cvpr2017_tutorial_kaiminghe.pdf
• youtube: https://www.youtube.com/watch?v=jHv37mKAhV4

Lecture 2: Deep Learning for Instance-level Object Understanding

• intro: by Ross Girshick
• slides: http://deeplearning.csail.mit.edu/instance_ross.pdf
• youtube: https://www.youtube.com/watch?v=jHv37mKAhV4&feature=youtu.be&t=2349

NIPS 2016

NIPS 2016 Schedule

https://nips.cc/Conferences/2016/Schedule

DeepMind Papers @ NIPS (Part 1)

https://deepmind.com/blog/deepmind-papers-nips-part-1/

DeepMind Papers @ NIPS (Part 2)

https://deepmind.com/blog/deepmind-papers-nips-part-2/

DeepMind Papers @ NIPS (Part 3)

https://deepmind.com/blog/deepmind-papers-nips-part-3/

NIPS 2016 Review, Days 0 & 1

https://gab41.lab41.org/nips-2016-review-day-1-6e504bcf1451#.ldaft47ea

NIPS 2016 Review, Day 2

https://gab41.lab41.org/nips-2016-review-day-2-daff1088135e#.o9r8li43x

NIPS 2016 — Day 1 Highlights

https://blog.insightdatascience.com/nips-2016-day-1-6ae1207cab82#.c248ycixg

NIPS 2016 — Day 2 Highlights: Platform wars, RL and RNNs

https://blog.insightdatascience.com/nips-2016-day-2-highlights-platform-wars-rl-and-rnns-9dca43bc1448#.zgtu1rtr0

50 things I learned at NIPS 2016

https://blog.ought.com/nips-2016-875bb8fadb8c#.f1a1161hq

NIPS 2016 Highlights

• slides: http://www.slideshare.net/SebastianRuder/nips-2016-highlights-sebastian-ruder
• mirror: https://pan.baidu.com/s/1kUKnCJ9

Brad Neuberg’s NIPS 2016 Notes

• blog: https://paper.dropbox.com/doc/Brad-Neubergs-NIPS-2016-Notes-XUFRdpNYyBhau0gWcybRo

All Code Implementations for NIPS 2016 papers

• reddit: https://www.reddit.com/r/MachineLearning/comments/5hwqeb/project_all_code_implementations_for_nips_2016/

Heuritech Deep Learning Meetup

Heuritech Deep Learning Meetup #7: more than 100 attendees for convolutionnal neural networks

• blog: https://blog.heuritech.com/2016/11/03/heuritech-deep-learning-meetup-7-more-than-100-attendees-for-convolutionnal-neural-networks/

ECCV 2016

ECCV Brings Together the Brightest Minds in Computer Vision

https://research.facebook.com/blog/eccv-brings-together-the-brightest-minds-in-computer-vision/

ECCV in a theatrical setting

• blog: http://zoyathinks.blogspot.jp/2016/10/eccv-in-theatrical-setting.html

2nd ImageNet + COCO Joint Workshop

2nd ImageNet and COCO Visual Recognition Challenges Joint Workshop

http://image-net.org/challenges/ilsvrc+coco2016

DLSS 2016

Montréal Deep Learning Summer School 2016

• video lectures: http://videolectures.net/deeplearning2016_montreal/
• material: https://github.com/mila-udem/summerschool2016
• slides: https://sites.google.com/site/deeplearningsummerschool2016/speakers
• mirror: http://pan.baidu.com/s/1kUWrWI7

Highlights from the Deep Learning Summer School (Part 1)

https://vkrakovna.wordpress.com/2016/08/25/highlights-from-the-deep-learning-summer-school-part-1/

What I learned from Deep Learning Summer School 2016

https://www.linkedin.com/pulse/what-i-learned-from-deep-learning-summer-school-2016-hamid-palangi

ICML 2016

10 Papers from ICML and CVPR

https://leotam.github.io/general/2016/07/12/ICMLcVPR.html

ICML 2016 was awesome

• blog: http://hunch.net/?p=4710099

Highlights from ICML 2016

http://www.lunametrics.com/blog/2016/07/05/highlights-icml-2016/

ICML 2016 tutorials

http://icml.cc/2016/?page_id=97

Deep Learning, Tools and Methods workshop

• intro: 3 hour tutorials on Torch, Tensorflow and Talks by Yoshua Bengio, NVIDIA, AMD
• homepage: https://portal.klewel.com/watch/webcast/deep-learning-tools-and-methods-workshop/
• slides: http://www.idiap.ch/workshop/dltm/
• Torch tutorials: https://github.com/szagoruyko/idiap-tutorials

ICML 2016 Conference and Workshops

• intro: talks, orals, tutorials
• homepage: http://techtalks.tv/icml/2016/

ICLR 2016

Deep Learning Trends @ ICLR 2016

http://www.computervisionblog.com/2016/06/deep-learning-trends-iclr-2016.html

WACV 2016: IEEE Winter Conference on Applications of Computer Vision

• homepage: http://www.wacv16.org/
• youtube: https://www.youtube.com/channel/UCdV5ooxkvhbpmv0_3MzIo9g/videos

ICLR 2016 Takeaways: Adversarial Models & Optimization

https://indico.io/blog/iclr-2016-takeaways/

tensor talk - Latest AI Code: conference-iclr-2016

https://tensortalk.com/?cat=conference-iclr-2016

CVPR 2016

CVPR 2016

• homepage: http://cvpr2016.thecvf.com/program/main_conference
• Object Recognition and Detection: http://cvpr2016.thecvf.com/program/main_conference#O1-2A
• Object Detection 1: http://cvpr2016.thecvf.com/program/main_conference#S1-2A
• Object Detection 2: http://cvpr2016.thecvf.com/program/main_conference#S2-2A

Workshop @ CVPR16: Deep Vision Workshop

• youtube: https://www.youtube.com/playlist?list=PL_bDvITUYucC8uLRtWw8fdvVr3DdwzAeH

Five Things I Learned at CVPR 2016

• day 1: https://gab41.lab41.org/all-your-questions-answered-cvpr-day-1-40f488103076#.ejrgol28h
• day 2: https://gab41.lab41.org/the-sounds-of-cvpr-day-2-f33a3625cbf3#.nifea1blu
• day 3: https://gab41.lab41.org/animated-gifs-and-video-clips-cvpr-day-3-96fdcfc36e2c#.x9wd86lym
• day 4: https://gab41.lab41.org/caption-this-cvpr-day-4-8fe94d7aeb71#.rhzd3zg5j
• day 5: https://gab41.lab41.org/five-things-i-learned-at-cvpr-2016-5e857c017f7b#.umag6vs3v

VALSE 2016

VALSE 2016

http://mclab.eic.hust.edu.cn/valse2016/program.html

Science: Table of Contents: Artificial Intelligence

http://science.sciencemag.org/content/349/6245.toc

Deep Learning and the Future of AI

• author: by Prof. Yann LeCun (Director of AI Research at Facebook & Professor at NYU)
• homapage: http://indico.cern.ch/event/510372/
• slides: http://indico.cern.ch/event/510372/attachments/1245509/1840815/lecun-20160324-cern.pdf

ICML 2015

Video Recordings of the ICML’15 Deep Learning Workshop

• homepage: http://dpkingma.com/?page_id=483
• youtube: https://www.youtube.com/playlist?list=PLdH9u0f1XKW8cUM3vIVjnpBfk_FKzviCu

ICCV 2015

International Conference on Computer Vision (ICCV) 2015, Santiago

http://videolectures.net/iccv2015_santiago/

ICCV 2015 Tutorial on Tools for Efficient Object Detection

http://mp7.watson.ibm.com/ICCV2015/ObjectDetectionICCV2015.html

ICCV 2015 Tutorials

http://pamitc.org/iccv15/tutorials.php

ICCV 2015 Tutorial on Tools for Efficient Object Detection

http://mp7.watson.ibm.com/ICCV2015/ObjectDetectionICCV2015.html

ImageNet + COCO Joint Workshop

ImageNet and MS COCO Visual Recognition Challenges Joint Workshop

http://image-net.org/challenges/ilsvrc+mscoco2015

OpenAI: Some thoughts, mostly questions

https://medium.com/@kleinsound/openai-some-thoughts-mostly-questions-30fb63d53ef0#.32u1yt6oy

OpenAI — quick thoughts

http://wp.goertzel.org/openai-quick-thoughts/

NIPS 2015

NIPS 2015 workshop on non-convex optimization

http://www.offconvex.org/2016/01/25/non-convex-workshop/

10 Deep Learning Trends at NIPS 2015

http://codinginparadise.org/ebooks/html/blog/ten_deep_learning_trends_at_nips_2015.html

NIPS 2015 – Deep RL Workshop

https://gridworld.wordpress.com/2015/12/13/nips-2015-deep-rl-workshop/

My takeaways from NIPS 2015

• blog: http://www.danvk.org/2015/12/12/nips-2015.html

On the spirit of NIPS 2015 and OpenAI

• blog: https://blogs.princeton.edu/imabandit/2015/12/13/on-the-spirit-of-nips-2015-and-openai/

NIPS 2015

• Part 1: https://memming.wordpress.com/2015/12/07/nips-2015-part-1/
• Part 2: https://memming.wordpress.com/2015/12/09/nips-2015-part-2/

Deep Learning - NIPS’2015 Tutorial (By Geoff Hinton, Yoshua Bengio & Yann LeCun)

• slides: http://www.iro.umontreal.ca/~bengioy/talks/DL-Tutorial-NIPS2015.pdf

NIPS 2015 Posner Lecture – Zoubin Ghahramani: Probabilistic Machine Learning

https://gridworld.wordpress.com/2015/12/08/nips-2015-posner-lecture-zoubin-ghahramani/

NIPS 2015 Deep Learning Tutorial Notes

http://jatwood.org/blog/nips-deep-learning-tutorial.html

DLSS 2015

26 Things I Learned in the Deep Learning Summer School

http://www.marekrei.com/blog/26-things-i-learned-in-the-deep-learning-summer-school/
http://www.csdn.net/article/2015-09-16/2825716

Deep Learning Summer School 2015

• homepage: https://sites.google.com/site/deeplearningsummerschool/schedule
• slides: http://docs.huihoo.com/deep-learning/deeplearningsummerschool/2015/
• github: https://github.com/mila-udem/summerschool2015

ICLR 2015

Conference Schedule

http://www.iclr.cc/doku.php?id=iclr2015:main&utm_content=buffer0b339&utm_campaign=buffer#conference_schedule

CVPR 2014

TUTORIAL ON DEEP LEARNING FOR VISION

https://sites.google.com/site/deeplearningcvpr2014/

CS 007: PERSONAL FINANCE FOR ENGINEERS

• intro: Stanford University 2017-8
• homepage: https://cs007.blog/

Quick introduction

Reference a nonstatic MFC class member in a static thread function

I decided to add a full-text search plugin to my blog:

FTP命令是Internet用户使用最频繁的命令之一，不论是在DOS还是UNIX操作系统下使用FTP，都会遇到大量的FTP内部命令。 熟悉并灵活应用FTP的内部命令，可以大大方便使用者，并收到事半功倍之效。 FTP的命令行格式为： ftp -v -d -i -n -g [主机名] ，其中 -v 显示远程服务器的所有响应信息； -n 限制ftp的自动登录，即不使用； .n etrc文件； -d 使用调试方式； -g 取消全局文件名。

Setup vsftpd