Страница телеграм канала Machine Learning World
Machine Learning World
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Все самое интересное в мире ИИ и Машинного обучения.
Входит в категории: Технологии
18.06.2019 11:06
https://ai.googleblog.com/2019/06/google-at-cvpr-2019.html
15.06.2019 20:06
PyTorch Developer Conference 2018
https://www.facebook.com/pytorch/videos/169366590639145/
14.06.2019 10:06
New interesting article on video synthesis.
Given audio speech input, they generate plausible gestures to go along with the sound and synthesize a corresponding video of the speaker.
https://www.profillic.com/paper/arxiv:1906.04160
13.06.2019 01:06
You can download it from here: https://drive.google.com/open?id=1IIBfpIZrwTWdNdwqecyghj-bcX7HrNcu
13.06.2019 00:06
Tons of presentations from Embedded Vision Summit 2019
https://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/downloads/pages/may-2019-summit-slides
12.06.2019 11:06
Nice paper on disentanglement representation(where each dimension of embedding represent one feature)
http://proceedings.mlr.press/v97/mathieu19a.html
12.06.2019 11:06
Good summary article about GANs
https://machinelearningmastery.com/resources-for-getting-started-with-generative-adversarial-networks/
09.06.2019 14:06
Google open sourced football game environment for training RL agents. You can use image or game state training there.
https://ai.googleblog.com/2019/06/introducing-google-research-football.html
08.06.2019 17:06
Learning Unsupervised Video Object Segmentation through Visual Attention
https://www.researchgate.net/publication/332751903_Learning_Unsupervised_Video_Object_Segmentation_through_Visual_Attention
06.06.2019 14:06
In case that you didnt read that awesome research about wellness. So if you asked yourself why, thats real answer
https://arxiv.org/abs/1802.07068
05.06.2019 20:06
New interesting paper to read, on face generation(faster then GANs)
https://arxiv.org/abs/1906.00446
04.06.2019 11:06
Learning Perceptually-Aligned Representations via Adversarial Robustness
https://arxiv.org/abs/1906.00945
Github: https://github.com/MadryLab/robust_representations
03.06.2019 10:06
Notes from Karpathy on common mistakes when training NN
http://karpathy.github.io/2019/04/25/recipe/
02.06.2019 19:06
Collection of pretrained models for PyTorch
https://github.com/rwightman/pytorch-image-models
01.06.2019 01:06
"Gauge Equivariant Convolutional Networks and the Icosahedral CNN
" pretty interesting way of thinking, i like that
https://arxiv.org/pdf/1902.04615.pdf