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Top news of the week: 24.06.2021.

#machinelearning
#cvpr2021
#YoshuaBengio
#deeplearning
#lifesciences

Research

@deliprao shared
On Jun 22, 2021
RT @GoogleAI: Today, we are announcing the open source release of DeepLab2, a modern TensorFlow library for deep labeling that aims to facilitate future research on dense pixel labeling by providing a unified, state-of-the-art, and easy-to-use TensorFlow codebase → https://t.co/WOhaO7tl4S https://t.co/yZWti1OVCw
Open
google-research / deeplab2

google-research / deeplab2

DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks. - google-research/deeplab2

@jeremyphoward shared
On Jun 18, 2021
Australia’s Artificial Intelligence Action Plan has just been released: https://t.co/uDlgDbqk6a https://t.co/0rktSH3aAu
Open
Australia’s Artificial Intelligence Action Plan

Australia’s Artificial Intelligence Action Plan

Read more The action plan is a key feature of the Australian Government’s Digital Economy Strategy Read more about work we are doing to shape the future of AI in Australia CSIRO …

@peteskomoroch shared
On Jun 22, 2021
RT @seldo: What I've learned in the last year about how data teams should work: https://t.co/j656836YNU https://t.co/OuCoiSHMfF
Open
What I've learned about data recently

What I've learned about data recently

Personal site and blog of Laurie Voss, aka @seldo

@mxlearn shared
On Jun 20, 2021
[N] Facebook AI Open Sources AugLy: A New Python Library For Data Augmentation To Develop Robust Machine Learning Models https://t.co/y9bGx7qs0f
Open
[N] Facebook AI Open Sources AugLy: A New Python Library For Data Augmentation To Develop Robust Machine Learning Models

[N] Facebook AI Open Sources AugLy: A New Python Library For Data Augmentation To Develop Robust Machine Learning Models

69 votes and 5 comments so far on Reddit

@abursuc shared
On Jun 18, 2021
Leave Those Nets Alone: Advances in Self-Supervised Learning. Join us this Sunday for our #cvpr2021 tutorial to discover what's cooking these days in the different flavors of self-supervised learning. Recordings and slides will be online right after. https://t.co/6iKdeegMnD https://t.co/UPnpfkLaOq
Open
CVPR 2021 Tutorial on

CVPR 2021 Tutorial on

The tutorial will be livestreamed on YouTube Organizers Over the last few years, deep learning-based methods have achieved impressive results on image understanding …

@NandoDF shared
On Jun 22, 2021
RT @CACMmag: "Deep Learning in AI," the Turing Lecture of #YoshuaBengio, @YLeCun, and @GeoffreyHinton, describes the origins, advances, and future challenges of #deeplearning. https://t.co/HlihTH6QVb. The authors discuss #machinelearning and human intelligence. Video: https://t.co/1PHfTO9GKu. https://t.co/xWquMq52Cc
Open
Deep Learning for AI

Deep Learning for AI

How can neural networks learn the rich internal representations required for difficult tasks such as recognizing objects or understanding language?

@pabbeel shared
On Jun 21, 2021
RT @MishaLaskin: New paper / algo - MABE! We show that combining dynamics models + weighted behavioral priors results in offline RL that is (a) robust across datasets and (b) can transfer behaviors across domains. Paper: https://t.co/IsO0gznVkO Site: https://t.co/sYS1vnh5nW 🧵 1/8 https://t.co/7vBwrAYusB
Open
Behavioral Priors and Dynamics Models: Improving Performance and Domain Transfer in Offline RL

Behavioral Priors and Dynamics Models: Improving Performance and Domain Transfer in Offline RL

Offline Reinforcement Learning (RL) aims to extract near-optimal policies from imperfect offline data without additional environment interactions. Extracting policies from diverse offline ...

@shakir_za shared
On Jun 22, 2021
RT @kmborgwardt: I have an opening for a postdoctoral position in my lab at @ETH_en in Basel, for #MachineLearning on structured data and its application in the #lifesciences. Application deadline is July 27, position to be started in 2021. Detailed info will follow here: https://t.co/5ChT5ugnZS https://t.co/uB7ouAuL2k
Open
Machine Learning & Computational Biology Lab

Machine Learning & Computational Biology Lab

Big Data Analysis and Biomedical Research meet in our lab: We develop novel Data Mining Algorithms to detect patterns and statistical dependencies in large datasets from Biology …

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