Neural network, Research, Academic publishing, Learning, Machine learning, Scientific method

W&B Deep Learning Salon - Sara Hooker & Hannes Hapke

On Sep 28, 2020
@peteskomoroch shared
RT @charles_irl: next @weights_biases Salon is gonna be 🔥: - Sara Hooker of Google Brain, author of the "The Hardware Lottery", & - Hannes Hapke of SAP, author of O'Reilly's "Building ML Pipelines" RSVP here: https://t.co/tGjbHoUkOl or subscribe and catch it on our YT: https://t.co/ff3z2nzlU4 https://t.co/OYGOMc2aFj
Open

W&B's Deep Learning Salon, featuring talks and Q&As with researchers, practitioners, hackers, and more in the Deep Learning space. This salon will feature: - Sara Hooker, Google Brain researcher and founder of data for good non-profit @deltanalytics, to discuss her recent work: a ...

us02web.zoom.us
On Sep 28, 2020
@peteskomoroch shared
RT @charles_irl: next @weights_biases Salon is gonna be 🔥: - Sara Hooker of Google Brain, author of the "The Hardware Lottery", & - Hannes Hapke of SAP, author of O'Reilly's "Building ML Pipelines" RSVP here: https://t.co/tGjbHoUkOl or subscribe and catch it on our YT: https://t.co/ff3z2nzlU4 https://t.co/OYGOMc2aFj
Open

W&B Deep Learning Salon - Sara Hooker & Hannes Hapke

W&B Deep Learning Salon - Sara Hooker & Hannes Hapke

W&B's Deep Learning Salon, featuring talks and Q&As with researchers, practitioners, hackers, and more in the Deep Learning space. This salon will feature: - Sara Hooker, Google Brain ...

Disentangled Representations & Google Research Football with Olivier Bachem

Disentangled Representations & Google Research Football with Olivier Bachem

Today we are joined by Olivier Bachem, a research scientist at Google AI on the Brain team, to discuss Google Research Football Project.

Fashion-MNIST: Year In Review

Fashion-MNIST: Year In Review

It’s been one year since I released the Fashion-MNIST dataset in Aug. 2017. As I wrote in the README.md, Fashion-MNIST is intended to serve as a drop- ... · Han Xiao

Noisy Natural Gradient as Variational Inference

Noisy Natural Gradient as Variational Inference

Noisy Natural Gradient as Variational Inference (a) Fully factorized (b) Matrix-variate (c) Block tridiagonal (d) Full covariance Figure 1: Normalized precision matrices for Gaussian ...

Working AI: At the Office with VP of Applied Deep Learning Research Bryan Catanzaro

Working AI: At the Office with VP of Applied Deep Learning Research Bryan Catanzaro

Bryan Catanzaro began his career designing microprocessors. Now he leads a team of 40 researchers pushing the boundaries of deep learning at Nvidia.

Deep Latent Variable Models for Sequential Data

Deep Latent Variable Models for Sequential Data

Variational auto-encoders (VAE’er), der tilhører den bredere familie af dybe latente variabel modeller, er fleksible og skalerbare modeller, som kan bruges til uovervåget (eng unsupervised) ...

Code of Conduct

Code of Conduct

19:00 – 21:00 Joint PUT / PETS Welcome Reception at Syster O Bror (Drottning Kristinas väg 24) Tuesday, July 16 8:00 Registration (outside Q1) 8:45 Opening Remarks Location: Q1 [Livestream; ...

Click here to read the article

Click here to read the article

1.1 The research lifecycle The different roles played by scholarly communication can be understood in the context of the research lifecycle (with the communication role in parentheses) (see ...

AI Research, Replicability and Incentives

AI Research, Replicability and Incentives

A look at replicability issues in Artificial Intelligence research, and how academic incentive systems are driving the communinity towards certain types of research.

Research Data Curation Bibliography

Research Data Curation Bibliography

The DataShare service, developed at the University of California, is being used by researchers to: (1) prepare for curation by reviewing best practice recommendations for the acquisition or ...

250+ Directory of Influential Women Advancing AI in 2020

250+ Directory of Influential Women Advancing AI in 2020

We're back with the next blog in of our Women in AI series, but this time with a twist....

Deep Learning Day at KDD

Deep Learning Day at KDD

Program Pacific Time, Monday, 24th August, 2020 RReinforcement Learning 8:00 - 8:45 Joelle Pineau 8:45 - 9:30 Csaba Szepesvari 9:30 - 9:45 Research highlight: Ashley Edwards 9:45 - 10:15 ...