State of Deep Learning : H2 2018 Review

Ross Taylor
Nov 30, 2018 · Unlisted
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It’s really hard to keep track of developments in a 🔥 field like deep learning.

Most popular official: BERT, vid2vid and graph_nets

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Most popular community: DeOldify, BERT and Fast R-CNNs

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DeOldify uses SA-GANs, a PG-GAN inspired architecture and a two time-scale update rule
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Most activity: NLP and GANs

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1 out of 7 new papers have code

Every 20 minutes, a new ML paper is born

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The credit for this comparison idea comes from Jeff Dean et al https://ieeexplore.ieee.org/document/8259424

Framework duopoly: TensorFlow and PyTorch

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The Road Ahead


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