In case that you didn't read that awesome research about wellness. So if you asked yourself why, that's real answer
https://arxiv.org/abs/1802.07068
https://arxiv.org/abs/1802.07068
arXiv.org
Talent vs Luck: the role of randomness in success and failure
The largely dominant meritocratic paradigm of highly competitive Western cultures is rooted on the belief that success is due mainly, if not exclusively, to personal qualities such as talent,...
Learning Unsupervised Video Object Segmentation through Visual Attention
https://www.researchgate.net/publication/332751903_Learning_Unsupervised_Video_Object_Segmentation_through_Visual_Attention
https://www.researchgate.net/publication/332751903_Learning_Unsupervised_Video_Object_Segmentation_through_Visual_Attention
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
https://ai.googleblog.com/2019/06/introducing-google-research-football.html
research.google
Introducing Google Research Football: A Novel Reinforcement Learning Environment
Posted by Karol Kurach, Research Lead and Olivier Bachem, Research Scientist, Google Research, Zürich The goal of reinforcement learning (RL) is ...
Good summary article about GANs
https://machinelearningmastery.com/resources-for-getting-started-with-generative-adversarial-networks/
https://machinelearningmastery.com/resources-for-getting-started-with-generative-adversarial-networks/
MachineLearningMastery.com
Best Resources for Getting Started With GANs - MachineLearningMastery.com
Generative Adversarial Networks, or GANs, are a type of deep learning technique for generative modeling. GANs are the techniques behind the startlingly photorealistic generation of human faces, as well as impressive image translation tasks such as photo colorization…
Nice paper on disentanglement representation(where each dimension of embedding represent one feature)
http://proceedings.mlr.press/v97/mathieu19a.html
http://proceedings.mlr.press/v97/mathieu19a.html
PMLR
Disentangling Disentanglement in Variational Autoencoders
We develop a generalisation of disentanglement in variational autoencoders (VAEs)—decomposition of the latent representation—characterising it as the fulfilm...
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
https://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/downloads/pages/may-2019-summit-slides
Edge AI and Vision Alliance
May 2019 Embedded Vision Summit Replay
Keynotes “Making the Invisible Visible: Within Our Bodies, the World Around Us and Beyond,” a Keynote Presentation from the MIT Media Lab June
You can download it from here: https://drive.google.com/open?id=1IIBfpIZrwTWdNdwqecyghj-bcX7HrNcu
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
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
CatalyzeX
Learning Individual Styles of Conversational Gesture: Paper and Code
Learning Individual Styles of Conversational Gesture. Click To Get Model/Code. Human speech is often accompanied by hand and arm gestures. Given audio speech input, we generate plausible gestures to go along with the sound. Specifically, we perform cross…
PyTorch Developer Conference 2018
https://www.facebook.com/pytorch/videos/169366590639145/
https://www.facebook.com/pytorch/videos/169366590639145/
Facebook Watch
PyTorch
Watch sessions from our PyTorch Developer Conference featuring the PyTorch community, including applied research in enterprise with Tesla, NVIDIA, Salesforce, Uber, and Allen Al, along with education providers, Udacity and fast.ai. And, we close out the conference…
Gevorg Yeghikyan just made a simulation of paper Talent VS Luck
https://www.facebook.com/YeghikyanGevorg/videos/2749434945129953/
https://www.facebook.com/YeghikyanGevorg/videos/2749434945129953/
Facebook Watch
Just built a quick agent-based model... - Gevorg Yeghikyan
Just built a quick agent-based model replicating the simple Talent-vs-Luck model described in [1], showing a mind-blowing but expected result: what drives success of individuals in a population is sheer randomness, in other words, LUCK!
Speech to Speech language translation https://youtu.be/38ZXwJj6j8k
YouTube
All Hail The Mighty Translatotron!
❤️ Pick up cool perks on our Patreon page: https://www.patreon.com/TwoMinutePapers
My talk and the full panel discussion at the NATO conference (I start at around the 12:30 minute mark):
▶️ https://www.facebook.com/StratComCOE/videos/698737203889068/
📝…
My talk and the full panel discussion at the NATO conference (I start at around the 12:30 minute mark):
▶️ https://www.facebook.com/StratComCOE/videos/698737203889068/
📝…
A Style-Based Generator Architecture for Generative Adversarial Networks
from Nvidia team https://arxiv.org/pdf/1812.04948.pdf
from Nvidia team https://arxiv.org/pdf/1812.04948.pdf
New x-ray segmentation dataset on Kaggle https://www.kaggle.com/c/siim-acr-pneumothorax-segmentation/overview/timeline
Kaggle
SIIM-ACR Pneumothorax Segmentation
Identify Pneumothorax disease in chest x-rays
Nice thing to write Math in browser https://www.mathjax.org/#demo
MathJax
Beautiful math in all browsers.