Donggeun Yoo

Co-founder and research scientist at Lunit Inc., PhD student at KAIST.

[Minhong Jang @min9minhong]

LUNIT GETS TO THE TOP OF THE LEADERBOARD AT CAMELYON17 CHALLENGE!  
https://t.co/qagBgtLIz9 https://t.co/wc2JO8fnAN

[Meta Open Source @MetaOpenSource]

Facebook and Microsoft introduce ONNX, a new, open ecosystem for interchangeable AI frameworks... https://t.co/k9HuWucfPL

[Awni Hannun @awnihannun]

PyTorch or TensorFlow? Wrote up some of my thoughts on the question - https://t.co/PzWYZ0rces

[Kyunghyun Cho @kchonyc]

great read! https://t.co/rjQkJgfYdN

[Federico Vaggi @F_Vaggi]

Very proud of this work! Full @PyTorch implementation available as well here: https://t.co/ORP4m5f0yU https://t.co/r56IlDXz2U

[hardmaru @hardmaru]

Train a HyperNetwork to guess the weights of various generated network architectures, to auto-rank them. Very cool! https://t.co/Zr4Kd7OMuP https://t.co/v93qEit5NO

[hardmaru @hardmaru]

Neural Architecture Search discover efficient ConvNets that require much fewer parameters and use less computation. https://t.co/6a0GqfcpCY

[DeepLearning.Hub @DLdotHub]

Training CNNs faster via a nonlinearity generator (converts model from linear to nonlinear over time) https://t.co/pHNtvWug6C

[Andrej Karpathy @karpathy]

The updated ImageNet training example with support for distributed training is a beauty https://t.co/i39By0OCl3 clean 300 lines

[Russ Salakhutdinov @rsalakhu]

New paper on Learning Robust Visual-Semantic Embeddings
with Yao-Hung Hubert Tsai, and Liang-Kang Huang, #iccv2017
https://t.co/qk2PMwxPRy

[erogol @erogol]

Finally!! OpenCV comes with Deep Learning supporting @PyTorch @tensorflow and caffe1 https://t.co/wLTHnzGml9

[Google DeepMind @GoogleDeepMind]

Why AI needs neuroscience and neuroscience needs AI: https://t.co/EtggBvc98q

[Miles Brundage @Miles_Brundage]

"Meta-SGD: Learning to Learn Quickly for Few Shot Learning," Li et al., Huawei: https://t.co/7s6LShuqrN

[Soumith Chintala @soumithchintala]

A candid podcast about: an incomplete history of DL frameworks, the origins of @PyTorch & future. (transcript sic)
https://t.co/GT9Pjy3dw0

[Ian Goodfellow @goodfellow_ian]

The GAN zoo, a list of named GAN variants: https://t.co/Snb10XRfnf

[hardmaru @hardmaru]

A Neural Representation of Sketch Drawings. My work on generative vector image modelling with recurrent neural nets. https://t.co/Iyp913D8IZ

[Google DeepMind @GoogleDeepMind]

AI, social impact, ethics & more: our co-founder @mustafasuleymn spoke to @johnthornhillft for the @FT podcast https://t.co/c7NxfW0nEg

[Arxivst @arxivst]

Use Machine Learning to Write Your Code For You https://t.co/eX8T13taZE

[Miles Brundage @Miles_Brundage]

"DualGAN: Unsupervised Dual Learning for Image-to-Image Translation," Yi et al.: https://t.co/aeuvtNwxCR