#ICLR2017 - Twitter Hashtag

over 5 years ago

C'est quand même un truc un peu fou. Et dire que tout a commencé autour d'une conversation passionnée avec @cazencott à #ICLR2017 ! Je suis si fière de ce que nous avons accompli avec l'équipe.

WiMLDS Paris @WiMLDS_Paris

over 5 years ago

🎉 What a milestone! + 4⃣0⃣0⃣0⃣ members on our @WiMLDS_Paris page! 🤯 @wimlds counts 9⃣3⃣ chapters all over the world & + 6⃣0⃣0⃣0⃣0⃣ members 🌍 We are the 3⃣rd largest one behind @WiMLDS_BayArea & @WiMLDS_NYC 🇪🇺 We were the 2⃣nd European chapter https://t.co/8f0S5waFoh

WiMLDS_Paris's tweet photo. 🎉 What a milestone!

+ 4⃣0⃣0⃣0⃣ members on our @WiMLDS_Paris page!

🤯 @wimlds counts 9⃣3⃣ chapters all over the world & + 6⃣0⃣0⃣0⃣0⃣ members
🌍 We are the 3⃣rd largest one behind @WiMLDS_BayArea & @WiMLDS_NYC
🇪🇺 We were the 2⃣nd European chapter

https://t.co/8f0S5waFoh https://t.co/XnLUmrqfBg

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Robert L. Logan IV @rloganiv

almost 8 years ago

For this week's #PaperSummary I dive into the #ICLR2017 paper by Higgins et al. introducing the Beta-VAE, a variational autoencoder that learns interpretable representations of the generative factors of image data (e.g. position, angle, shape). https://t.co/3PoGDZPiWM

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Isabelle Augenstein @IAugenstein

about 8 years ago

Analysis of the gender imbalance of authors at #ML venues (#ICML2017, #NIPS2017, #ICLR2017) by country. 88% male authors on average, proportionally most female authors are from Taiwan (26.09%) https://t.co/Th7YOL97SQ #WiML

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Caroline Chavier @MrsCaroline_C

over 8 years ago

Je suis plus que fière d'avoir rencontré Chloé à #ICLR2017 Depuis, nous avons fondé @WiMLDS_Paris avec @Mizar83 & @oNanooshka et on avance! Si vous ne connaissez pas encore Chloé, lisez ce beau portrait. #MachineLearning #WomeninTech #womenintech https://t.co/OdkOWjXIWm

Léa Sanchez @lea__sanchez

over 8 years ago

Pour Fractales, le média étudiant de @42born2code, j'ai eu le plaisir de rencontrer @cazencott, chercheuse de @MINES_ParisTech. Son portrait ici : https://t.co/Xe5rqtV3Qt #MachineLearning #womeninscience merci Chloé !

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Louis Maddox @permutans

almost 9 years ago

🔎 #ICLR2018 papers https://t.co/4yeUes9kRt 🗄 #ICLR2017 reviews https://t.co/QYSKzdcb3r

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Dmytrii S

@ml_review

about 9 years ago

On the Quantitative Analysis of Decoder-Based Generative Models #ICLR2017 Mode dropping analysis of VAE, GAN, GMMN https://t.co/9EBA2R09pj

ml_review's tweet photo. On the Quantitative Analysis of Decoder-Based Generative Models #ICLR2017

Mode dropping analysis of VAE, GAN, GMMN

https://t.co/9EBA2R09pj https://t.co/MZmfbrOKMf

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tarekgaaly @tarekgaaly

about 9 years ago

daym...some interesting papers that got rejected from #ICLR17 #ICLR2017 https://t.co/1Ym8SAHLGK

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Sakyasingha Dasgupta

@DSakya

about 9 years ago

#CVPR2017: 2620 submissions #AAAI2017: 2590 #IJCAI2017: 2467 #ICML2017: 1701 #ICLR2017: 507 #NIPS2017 ?

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Caroline Chavier @MrsCaroline_C

about 9 years ago

@cazencott @Mizar83 @wimlds @WiMLDS_Paris Thanks to our #ICLR2017 meeting 😉 @IgorCarron @ParisMLgroup

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Igor Carron

@IgorCarron

over 9 years ago

@davegershgorn @tsimonite Interesting but the 800 GPUs paper at #ICLR2017 had a few people stumped :-). I think one of the first question was "how can I get 800 GPUs"

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Intel AI

@IntelAI

over 9 years ago

.@thekyleambert reports from #ICLR2017 on Intel Labs research driving the field of deep learning: https://t.co/FfWBqnFXn4 #AI

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naïve oculus @naiveoculus

over 9 years ago

Tracking the World State with Recurrent Entity Networks (arXiv:1612.03969v3 [cs.CL]) #ICLR2017 https://t.co/FWmvmYlgoY

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Intel AI

@IntelAI

over 9 years ago

Intel's @TheKyleAmbert recaps key deep learning research from #ICLR2017: https://t.co/6TxrrlCu1Q #AI

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Intel AI

@IntelAI

over 9 years ago

.@TheKyleAmbert on #ICLR2017 and Intel Labs' research to reduce training time for convolutional neural networks. https://t.co/6TxrrlCu1Q #AI

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Alex Kalinin @alxndrkalinin

over 9 years ago

#ICLR2017 follow up for Bayesians: Why deep nets don't fail as miserably as you predicted & why follow theory of generalization in deep nets https://t.co/g9sqYKiDJK