Hey there, I am a Master Student from germany currently working on some pose detection with tf pose. I am looking for a tool which can generate realistic 3d pose keypoints. It does not need create images for Training, just realistic 3d keypoints for customizable poses. Has anybody of you already experience with such a “Tool”? I would be very grateful for your help. Thanks

These are the top 3 most popular talks (by views) from MLconf NYC 2019. All 3 are excellent talks: The next MLconf event is in San Francisco on 11/8, that’s next week!

1. Rishabh Mehrotra, Research Scientist, Spotify: Personalizing Explainable Recommendations with Multi-objective Contextual Bandits
2. Emily Pitler, Staff Research Scientist, Google AI: Representations from natural language data: successes and challenges
3. Nitin Sharma, Research Scientist, PayPal: Deep Learning Applications to Online Payment Fraud Detection

*If you’d like to attend MLconf in San Francisco next, you can use the discount code “slashml19” for 50% off, register here: https://www.eventbrite.com/e/mlconf-sf-2019-tickets-52641374769 – This code is only good for 6 total tickets, once it’s out it will say it’s expired. First to register gets the discount.

You can find all of the past MLconf videos on the MLconf YouTube page here. Subscribe to see the newest talks as they arrive.

Please let us know what you think of the talks, speakers, topics, and anything you would be interested in for future events here in the discussion.

For better or worse, OpenReview gives a lot of power to individuals not assigned reviewer roles. We’ve all seen good examples of this (e.g. pointing out something important you’re sure could be missed by a reviewer, like “your code uses train data at test time!”) and bad examples of this (e.g. trolling, or pure opinions like “This is a useless result.”) But there’s a lot room between these.

People who comment on OpenReview before paper-acceptances are finalized, and people with opinions on the matter, how should we as a community approach this new tool? What do you think you should be trying to add with a comment? What are you careful not to do?

https://deepmind.com/blog/article/AlphaStar-Grandmaster-level-in-StarCraft-II-using-multi-agent-reinforcement-learning

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Deepmind releases AlphaStar and their soon-to-be-published Nature paper

I’m looking to clean-up a few of my Github repos and am wondering if anyone has good examples of Readme.md files they’ve seen/made, specifically for Machine Learning and/or Deep Learning projects.

Myself and a small team have been trying to improve unsupervised learning pipelines locally at the office and have realized that the solutions cross industry are pretty disparate and may represent a cool open source product oppurtunity. I’d love to get feedback from this group on where the biggest issues are for you. We put together a survey which goes a little more in depth,

Survey Monkey Link: https://www.surveymonkey.com/r/MLsurvey12

Thanks a ton for any feedback

Abstract:

Machine translation of ancient languages faces a low-resource problem, caused by the limited amount of available textual source data and their translations. We present a multi-task modeling approach to translating Middle Egyptian that is inspired by recent successful approaches to multi-task learning in end-to-end speech translation. We leverage the phonographic aspect of the hieroglyphic writing system, and show that similar to multi-task learning of speech recognition and translation, joint learning and sharing of structural information between hieroglyph transcriptions, translations, and POS tagging can improve direct translation of hieroglyphs by several BLEU points, using a minimal amount of manual transcriptions.

paper blog post

We’re presenting this at IWSLT 2019 in Hong Kong in a poster session, if you’re there please stop by and ask questions!