#ML4P - Twitter Hashtag

over 6 years ago

aicodoo: AI writes programming code. Try it yourself: https://t.co/Wvunp3ujR5 #AI #ArtificailIntelligence #ML #MachineLearning #MLonCode #MLoSC #ML4P

aicodoo's tweet photo. aicodoo: AI writes programming code.
Try it yourself: https://t.co/Wvunp3ujR5

#AI #ArtificailIntelligence #ML #MachineLearning #MLonCode #MLoSC #ML4P https://t.co/MtsTbHBTaA

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Julia Arlinghaus @ArlinghausJulia

over 6 years ago

Im @Fraunhofer-Leitprojekt ML4P wird untersucht, wie man #maschinellesLernen effizient auf den #ShopFloor bekommt. Ich freu mich, über die Entwicklungsarbeit meines Teams am #FraunhoferIFF zu informieren und auf die #ML4P-Beiratssitzung.

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FraunhoferLemgo @FraunhoferLemgo

over 7 years ago · Berlin

Erfolgreiche #Zwischenevaluierung des Leitprojektes #MachineLearningForProduction (#ML4P) von @Fraunhofer. Die Forschungsbereiche #BigDataPlattformen und #MaschinellesLernen von @FraunhoferLemgo sind mit dabei. #itsOWL @SmartFactoryOWL

FraunhoferLemgo's tweet photo. Erfolgreiche #Zwischenevaluierung des Leitprojektes #MachineLearningForProduction (#ML4P) von @Fraunhofer. Die Forschungsbereiche #BigDataPlattformen und #MaschinellesLernen von @FraunhoferLemgo sind mit dabei.
#itsOWL @SmartFactoryOWL https://t.co/Od6xakWUem

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Antonio Alegria @antonioalegria

almost 8 years ago

@vadimlearning we saw your talk on idsplit at #ML4P and your latest blog post and were interested in trying it out -- have you (or are you planning to) open sourced it? We'd be happy to test and provide feedback. Thanks!

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Antonio Alegria @antonioalegria

about 8 years ago

Today @miguelventura and Joao Nadkarni went over the state-of-the-art on Machine Learning applied to Software Development, presenting the best of what was shown at #ML4P. Lots of interesting work we'll continue to explore. Stay tuned for a recording #OutSystemsAI

antonioalegria's tweet photo. Today @miguelventura and Joao Nadkarni went over the state-of-the-art on Machine Learning applied to Software Development, presenting the best of what was shown at #ML4P. Lots of interesting work we'll continue to explore. Stay tuned for a recording #OutSystemsAI https://t.co/2SuEnVZ2C8

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Miguel Ventura @miguelventura

over 8 years ago

Leaving Oxford after 2 days of #ML4P, full of fresh ideas and food for thought! A great mix of researchers and industry practitioners at the forefront of using AI on software development. A special "thank you" to the organizers and the great speakers!

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Waren Long @warenlg

over 8 years ago · Oxford

One of my favorite slides of the day from @yahave ‘s https://t.co/YsUFRslwgp talk @FLoC2018 Reminds me @tufanomichele ‘s work on orthogonal representations of code @msrconf Curious to see how those AST-path enbeddings would perform on the code deduplication task #MLonCode #ml4p

warenlg's tweet photo. One of my favorite slides of the day from @yahave ‘s https://t.co/YsUFRslwgp talk @FLoC2018 Reminds me @tufanomichele ‘s work on orthogonal representations of code @msrconf Curious to see how those AST-path enbeddings would perform on the code deduplication task #MLonCode #ml4p https://t.co/JkSFHq9q66

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Waren Long @warenlg

over 8 years ago · Oxford

@vadimlearning Being able to reduce the core vocabulary size by 2 times is key for upstream #MLonCode problems. @vadimlearning from @sourcedtech now showing how BiLSTM can split identifiers based on the SE domain #ml4p Oxford - dataset & slides -> https://t.co/ZFeAERcbnR

warenlg's tweet photo. @vadimlearning Being able to reduce the core vocabulary size by 2 times is key for upstream #MLonCode problems. @vadimlearning from @sourcedtech now showing how BiLSTM can split identifiers based on the SE domain #ml4p Oxford - dataset & slides -> https://t.co/ZFeAERcbnR https://t.co/PMSpSKAW4e

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Vadim Markovtsev @vadimlearning

over 8 years ago

Mukund's slides uploaded (28): https://t.co/iBIYozHOXX #ml4p #MLonCode

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Swarat Chaudhuri

@swarat

over 8 years ago

The #ml4p workshop at #FLoC2018 was a grand success! Looking forward to this becoming an annual event. Here are the speakers. https://t.co/kr6yaf3btF

swarat's tweet photo. The #ml4p workshop at #FLoC2018 was a grand success! Looking forward to this becoming an annual event. Here are the speakers. https://t.co/kr6yaf3btF https://t.co/iAIsM08t42

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Sumith Kulal

@sumith1896

over 8 years ago

Attended a wonderful talk by Pushmeet Kohli(@pushmeet) titled Program Synthesis and AGI at #ml4p today. My favorite from FLoC this year! @FLoC2018

sumith1896's tweet photo. Attended a wonderful talk by Pushmeet Kohli(@pushmeet) titled Program Synthesis and AGI at #ml4p today. My favorite from FLoC this year! @FLoC2018 https://t.co/TvGjRLpg3e

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Vadim Markovtsev @vadimlearning

over 8 years ago

Now @pushmeet speaks about Program Synthesis and its connections to AGI #ml4p #MLonCode

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Vadim Markovtsev @vadimlearning

over 8 years ago

.@yahave told us about the new promising way to understand what an RNN has learned - representing them as k-counters: https://t.co/8YWU2u2rhE https://t.co/3V13aI1enb with @yoavgo and @gail_w #ml4p

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Vadim Markovtsev @vadimlearning

over 8 years ago

.@yahave's slides uploaded (64) https://t.co/lDoma8ztoM #ml4p #MLonCode

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Vadim Markovtsev @vadimlearning

over 8 years ago

Now @miltos1 presenting Understanding & Generating Source Code with Graph Neural Networks #ml4p #MLonCode

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Vadim Markovtsev @vadimlearning

over 8 years ago

.@sourcedtech's tweet about code2vec IRL in @yahave's presentation #ml4p #MLonCode

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Vadim Markovtsev @vadimlearning

over 8 years ago

code2vec! @yahave is on stage #ml4p #MLonCode

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Waren Long @warenlg

over 8 years ago

@vadimlearning Feels good to come back to the origins of #MLonCode with @devanbu If code is more predictable than natural language, it’s not so much for its syntax as for its difficulty in sense of technicality: programmers tend to deliberately write as unsurprising code as possible #ml4p