Top Tweets for #sysml2019
Data Validation for Machine Learning #SySML2019
Schema: used for validation, defined in ProtoBuf, automatic inference-based, use synthetic data generation to test model
Training-Serving Skew: interpretable distance metrics: max|pi − qi|, i∈S
et al.
https://t.co/JHiGzFOFpG
" Sysml2019 just ended and it is hard to get back to work, given how awesome these two days were".
Let's talk #AI and #MachineLearning following the #sysml2019 conference!
Cheers to our authors @NotRenaud @RLerallut Oleksandr, Aloïs and Anthony 👏
https://t.co/2v6G3Vaczm
This week was pretty busy attending the #SysML2019 in @Stanford !
Part of our team is still on its way back to Paris, welcome back @olivkoch @RLerallut @amine_benh @AnthonyTruchet @NotRenaud @kerdrek !
First time I see ACM badges on an actual paper! https://t.co/VPoJ8FHisF #sysml2019
I wrote about #SysML2019 and key takeaways for usable ML systems. More data (still) beats better algorithms, but tooling and infrastructure have a ways to go.
Three Takeaways from #SysML2019: More Data, Better Tools, Accessible Models.
“Putting data from disparate sources to work is hard, and requires fundamentally new algorithmic tools and systems that can easily support training, deployment, and debugging.”
https://t.co/EZ5yB18Qia
Three Takeaways from #SysML2019: More Data, Better Tools, Accessible Models.
“Putting data from disparate sources to work is hard, and requires fundamentally new algorithmic tools and systems that can easily support training, deployment, and debugging.”
https://t.co/EZ5yB18Qia
Just finished up at #SysML2019, had a great time chatting with people about all kinds of things. Fun to see people are paying attention to the cool stuff we've been up to in @ApacheTVM. Sometimes hard to appreciate when you are heads down working.
#SysML2019 @rengglic continuous integration of ml pipelines
Ofer Dekel presenting at SysML 2019 on MSR’s work on optimizing compilers for AI models at the edge. Calling on the ML community for more precise benchmarks for apples to apples comparisons #Sysml2019 #ai #compilers #ml https://t.co/c4EYRaXVY7
Our Paris and Palo Alto teams are in #SYSML2019 conference in @Stanford !
Come and drop by our stand to meet our team #criteolife #sysmlconference
Happy to see @CriteoAILab in such distinguished company. Drop by our booth if you wonder why we’re here ! #sysml2019
Part of our team has left Paris to attend #Sysml2019 !
We'll be at @Stanford for 3 days, let's meet 👋
On my way to #SysML2019 , ping me if you want to chat about large scale #MachingLearning for advertising at @CriteoAILab
2/2: CNN inference meets two old darlings of the database world in Krypton: incremental view maintenance & multi-query optimization https://t.co/Lif1KDdQer. Also, check out our demo at SysML 2019. Code release, radiology apps, and more demos coming soon. #SIGMOD2019 #SysML2019
Do you want to demo your latest research on Systems+ML! SysML 2019 is featuring a Demo Track! Just a few days left to submit your proposal: https://t.co/HawwB8H6rk #sysml2019
#SysML 2019 is featuring a Demo Track! Consider submitting a proposal to demonstrate your best Sys+ML work by February 10: https://t.co/HawwB8H6rk #sysml2019
#SysML2019 Usability of ML systems is not only about speed and automation: "Software 2.0" also needs "Software Eng. 2.0" to enforce the right user behaviours. https://t.co/4jn1YVQwBS is a continuous integration engine designed for ML to rigorously monitor dev. process of ML apps.
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