NeurIPS 2019 Implementations
Papers with code: https://paperswithcode.com/conference/neurips-2019-12
#ArtificialIntelligence #DeepLearning #NeurIPS2019

Create machine learning or deep learning model only in 3 lines of code.
https://techgrabyte.com/amazon-creates-autogluon/

How can we guide #AI to learn the way humans do? Research from last year looked at the brain's structure to find out. Read more in this

https://science.sciencemag.org/content/363/6428/692

Removing people from complex backgrounds in real time using TensorFlow.js in the web browser
Jason Mayes, GitHub: https://github.com/jasonmayes/Real-Time-Person-Removal
#DeepLearning #TensorFlow #TensorFlowJS

Two weeks ago, Facebook open-sourced its homegrown lightweight interactive visualization library/tool for AI Research — HiPlot. It enables ML researchers and Data Scientists to analyze correlations and observe patterns in high-dimensional data, mainly using parallel plots.

Yours Truly put together the Internet's First Tutorial on this fresh off-the-shelf tech.

https://medium.com/@viveckh/learn-hiplot-in-6-mins-facebooks-python-library-for-machine-learning-visualizations-330129d558ac

Is there a way the quality of this videos can be enhanced?

[https://www.youtube.com/watch?v=vK_q-C-kXhs&](https://www.youtube.com/watch?v=vK_q-C-kXhs&)

How many gender subtypes exist in the brain?

Combining fMRI and behavioral data, researchers examined gender identity in cisgender & transgender individuals using machine learning. #AI identified at least nine dimensions of brain-gender variation.

https://neurosciencenews.com/machine-learning-gender-15717/amp/

Video of Yann Lecun talk at the ACM India Event at IIT Gandhinagar, on 2020-02-15.

Slides are here: https://drive.google.com/file/d/1z9L1fRzTFDl-_NGad2QpDBfkPx-aPts8/view?fbclid=IwAR0mjG69ECZERjfVB8FYCUZ15SQSx9igBKhnpFiUBJnXCpnbVKmDlp1Rq9U

video : https://youtu.be/ARdDCRbmw2w?t=8223

(cued to 2:17:00 into the stream of the whole event).

How to build a brain from scratch

Cool course taught by an experimental psychology dept. Overview of RL, deep learning, generative models, unsupervised learning and parallel topics in learning theory, neuroscience, mental simulation.

Lecture slides/notes https://humaninformationprocessing.com/teaching/

An executive’s guide to AI
Staying ahead in the accelerating artificial-intelligence race requires
executives to make nimble, informed decisions about where and how to
employ AI in their business. One way to prepare to act quickly: know the
AI essentials presented in this guide. https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/an-executives-guide-to-ai

Call for submissions! The 7th Women in Computer Vision Workshop (WiCV) at #CVPR2020 invites all vision researchers to submit papers and attend the workshop. There will be talks, posters, a panel discussion and dinner! More info: https://sites.google.com/view/wicvworkshop-cvpr2020/

Call for Papers for #NeurIPS2020 is out → https://mld.ai/neurips20call4papers

Learn more about what is new this year in this video → https://mld.ai/neurips20vid

Checkout this blog post by #NeurIPS2020 program chairs, Marc'Aurelio Ranzato, Nina Balcan, Hsuan-Tien Lin and Raia Hadsell → https://mld.ai/neurips20blog

TL;DR:
0) Watch this video summarizing the major changes → https://mld.ai/neurips20vid
1) This year’s abstract submission deadline is moved up to May 5th, 2020, while the paper submission deadline is May 12th, 2020. This shift allows us to handle the increased volume of submissions and accommodates the early rejection phase of the review process… which brings us to the next point.
2) Early rejection: Area Chairs will have two weeks to recommend papers for early rejection. We expect up to 20% of the papers to be selected for this category. Senior Area Chairs then have one week to approve the decision, at which point authors of rejected papers will be notified that their paper will not undergo any further review.
3) Authors are reviewers: We require that every (co-)author of every paper agrees to review papers if asked. This requirement is useful for increasing our reviewer pool size and to fairly distribute the reviewing load more evenly among community members who submit papers.
4) Broader impact: Authors are asked to include a section in their submissions discussing the broader impact of their work, including possible societal consequences — -both positive and negative.
5) Video spotlight: We request that all authors upload a video recording of the spotlight presentation of their work at camera-ready submission time, and we are also working on ways of enabling remote presentations as well as remote attendance.

Awesome Decision Tree Research Papers
https://github.com/benedekrozemberczki/awesome-decision-tree-papers

CS224N : Natural Language Processing with Deep Learning
https://www.youtube.com/playlist?list=PLU40WL8Ol94IJzQtileLTqGZuXtGlLMP_
#NaturalLanguageProcessing #DeepLearning #ArtificialIntelligence