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One of my big picture takeaways from ICLR is that 2019 will be an exciting year for unsupervised learning!
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Off to ICML'18 to present a tutorial on "Toward Theoretical Understanding of Deep Learning" Tuesday 1pm. Lecture slides and bibliography here.http://unsupervised.cs.princeton.edu/deeplearningtutorial.html …
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Leon Bottou.... What doesn’t work is important to understand.
#PAISS2018@naverlabseurope@inria_grenoblepic.twitter.com/jlfE2jtFni
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I will start a « oldies but goldies » series starting tomorrow (interleaved with more usual posts), featuring great papers that revolutionized computational mathematics and their applications. Here are some of the featured researchers.pic.twitter.com/m91IvX6rbb
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The afternoon session of
#PAISS2018 at@inria_grenoble@naverlabseurope kicks off with Jean Ponce’s lecturepic.twitter.com/BHoQKgPmwt
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Update on our (
@sachin_ravi_,@chelseabfinn and me) AI-ON project, on few-shot music generation: Thanks to our contributors, we now have 2 benchmarks and starter code for training. Want to collaborate on new models? Join our slack and see our github: https://ai-on.org/2017/11/20/few-shot-distribution-learning/ …https://twitter.com/fchollet/status/937403723034148864 …
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The wonderful art of
@hardmaru and latent spaces on the main stage at#io18pic.twitter.com/vCTM8L2IXy
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Just Starting
@ENS_ULM : Interdisciplinary workshop: Levels, Hierarchies and Asymmetries#neuroscience#socialscience Today : Marc Tittgemeyer,@DanielKostic & David@chavalarias,#ComplexSystems Program on https://daniel-kostic.weebly.com/workshops.html pic.twitter.com/iLkXWzaBCu
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Consider applying! I'll be participating, as well as many other great speakers. Note also that MLSS has some Fellowships available for students.https://twitter.com/MLSS2018BsAs/status/941725603874656256 …
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A small reminder of the huge, ground-breaking discovery made by this year’s Physics Laureates! Learn more about the discovery: http://goo.gl/FDFFtt
#NobelPrizepic.twitter.com/3shbBRh1Lp
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FYI, the github repo for the project is here: https://github.com/AI-ON/Few-Shot-Music-Generation … . If you'd like to get involved, I'd suggest starting by reading the papers on our reading list.
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We are relaunching the Artificial Intelligence Open Network (AI•ON), with 3 new open-source research projects from the groups of Yoshua Bengio, Hugo Larochelle and Max Welling. Get involved! https://ai-on.org/ pic.twitter.com/Sq0MlKum9d
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The proximal operator is the implicit counterpart of the explicit gradient descent step. Fundamental to handle non-smooth optimization problems.pic.twitter.com/G1CL3dVKGy
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Nesterov's accelerated method as a love child of gradient descent and mirror descent: http://arxiv.org/abs/1407.1537 (awesomely insightful paper)
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New paper, VQ-VAE: learns phonemes & voice style transfer without supervision http://bit.ly/2lVg3mV Audio samples: http://bit.ly/2yzMP3b pic.twitter.com/thxrsVJyIV
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An overview of gradient descent optimization algorithms https://buff.ly/2BfhXSW pic.twitter.com/JjW0bEsIqT
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A nice web demo of TopoSketch: https://vusd.github.io/toposketch/
@dribnethttps://twitter.com/samim/status/936583971495989248 …
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