Discover and read the best of Twitter Threads about #neurips2018

Most recents (7)

1/ I have been asked by many people how I managed to be accepted to @MILAMontreal after two years of trying. Here's my story. Last year I reached out to a new prof at MILA and I audited their class.
2/ They were interested, but when I applied, the semi-automatic system from MILA admission rejected me almost instantly because of my GPA. The admission completely ignored my 6 publications in child #psychology, 2 of which are #statistics paper where I'm first author.
3/ It frustrated me and it still does that this wasn't considered as relevant. Research is research, and research skills are easily transferable from a field to another. People are obsessed with labels and boxes and I didn't tick the correct #AI box.
Read 9 tweets
#NeurIPS2018 is over! Time to wrap up!

In this thread I'll share what I found the most interesting in the field of ML and creativity.

Everything below worth your time IMO!
First day, the talk by @viegasf & @wattenberg about DataVisualisation was excellent: theoretical and practical.…
Fernanda Viega co-lead the People + AI Research team for Google Cambridge. She makes Art & Design Projects too. More here:
Read 27 tweets
panel at the workshop on critiquing and correcting trends in ML research is starting in room 511 #NeurIPS2018. Panelists: Rich Caruana, @hannawallach, Finale Doshi-Velez, @suchisaria, @RandomlyWalking and @zacharylipton
Q: what are the top troubling trends for the near future?
A: groupthink as we all read the same papers, large companies with massive PR machines, the belief that good test set performance means you can just go ahead and deploy models in the wild #NeurIPS2018
Doshi-Velez: the issue is not so much about scholarship, publication issues and so on. It's how we interface with the real world. We're not trained to do this, we're not a professional profession.
Caruana: mistakes in real-world ML will hurt people. #NeurIPS2018
Read 19 tweets
Programming is changing: ML developers increasingly program by creating & engineering training data --Olukotun #NeurIPS2018
Software 1.0: deterministic
Software 2.0: trained from data, computation only had to be statistically correct #NeurIPS2018
Relax, it's only machine learning!
Relax [precision, synchronization, cache coherence, communication] #NeurIPS2018
Read 3 tweets
📣 The AI Now 2018 Report is now live! 📣

Our biggest ever report tackles the issues of AI and accountability, after a hell of a year for the tech sector. Read the report, see our 10 recommendations…
We're calling for regulation of AI, and in particular - facial and affect recognition
And - this is a BIG one - all tech vendors should waive corporate secrecy laws that are preventing accountability and due process in the public sector. Black box systems have no place in government.
Read 5 tweets
I think the greatest benefit of conferences is to get exposed to diverse, unusual ideas, and to talk to people you can't usually meet.

I'll be at #NeurIPS2018 starting Tuesday night. If you're working on an approach to program synthesis that's off the beaten path, let's chat.
Contact me by email if you want to meet.
In Montreal now. Reminder that you can contact me if you want to meet to chat about your research.
Read 3 tweets
✨💡 This is an ace idea from @sarah_edo! 💕

👩‍💻 Be on the lookout for a @TensorFlow Advent Calendar tomorrow, as well, highlighting meaningful, high-impact projects and papers from our community. If you'd like for yours to be considered, please shoot me an @-mention!
#TFadvent begins today! 😄

For our first project, I'd like to highlight this accessibility example from @shekitup that uses @TensorFlowJS to interpret sign language—and then translates those signs into input that can be used by a home assistant! 🗣️✨…
🎁 Day #2 of #TFadvent:

🤖 Check out this project from a recent hackathon at @ColbyCollege! The team trained a @TensorFlow model to learn muscle movements, then used that model to send signals to a prosthetic arm, controlling one finger at a time. ✨

Read 32 tweets

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