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Top news of the week: 01.07.2021.

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Research

@mxlearn shared
On Jun 26, 2021
[R] Machine Learning with Applications journal on Elsevier https://t.co/zkpLuqLPM9
Open
[R] Machine Learning with Applications journal on Elsevier

[R] Machine Learning with Applications journal on Elsevier

0 votes and 2 comments so far on Reddit

@NandoDF shared
On Jun 30, 2021
RT @ak92501: A Survey on Neural Speech Synthesis pdf: https://t.co/kkykc53eM2 abs: https://t.co/IT0m7uOYIX https://t.co/RblI1TWIRc
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A Survey on Neural Speech Synthesis

A Survey on Neural Speech Synthesis

Text to speech (TTS), or speech synthesis, which aims to synthesize intelligible and natural speech given text, is a hot research topic in speech, language, and machine learning communities ...

@jeremyphoward shared
On Jun 27, 2021
RT @ravimashru: Finished reading ch1 of fastbook by @jeremyphoward and @GuggerSylvain with my reading group at @weights_biases hosted by @amaarora. Lesson learnt: you don't need a PhD, your own GPU or massive amounts of data to get world-class results with deep learning! https://t.co/soubs8Ac8G
Open
3 Fallacies About Deep Learning

3 Fallacies About Deep Learning

Last week, I started reading fastbook with a reading group hosted by Aman Arora at Weights & Biases. The first chapter of the book explores the following three fallacies and ...

@jeremyphoward shared
On Jun 30, 2021
RT @QLD_AI_Hub: ONLINE ONLY! Join our mates @Queensland_AI Thurs night to explore what's new in #computervision with @weights_biases' Aman Arora! Register: https://t.co/n5iMjx2i6a #ArtificialIntelligence #AI #MachineLearning https://t.co/qhbVhLSBI7
Open
What's New In Computer Vision (And How To Publicly Share Your Work)

What's New In Computer Vision (And How To Publicly Share Your Work)

First released in the field of NLP in 2017, the Transformer architecture has since also made its way to computer vision. After the Vision Transformer (ViT) in 2020, a large number of new ...

@MSFTResearch shared
On Jun 29, 2021
Robust AI models must do more than learn patterns. That’s why researchers built CausalCity, a high-fidelity simulation environment to help develop algorithms that capture the causal relationships between events—and reason more like humans: https://t.co/1KO1JdANC1
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CausalCity: Introducing a high-fidelity simulation with agency for advancing causal reasoning in machine learning

CausalCity: Introducing a high-fidelity simulation with agency for advancing causal reasoning in machine learning

The ability to reason about causality, and ask “what would happen if…?’’ is one property that sets human intelligence apart from artificial intelligence. Modern AI algorithms perform well ...

@mxlearn shared
On Jun 29, 2021
PyKale Preprint: Knowledge-Aware Machine Learning from Multiple Sources in Python [P][R] https://t.co/y5p4TZid4e
Open
PyKale Preprint: Knowledge-Aware Machine Learning from Multiple Sources in Python [P][R]

PyKale Preprint: Knowledge-Aware Machine Learning from Multiple Sources in Python [P][R]

0 votes and 0 comments so far on Reddit

@weballergy shared
On Jul 1, 2021
RT @facebookai: Data sets used to train embodied AI have been in short supply. Now, we’re collaborating with Matterport to make available to the academic research community Matterport’s open-sourced data set of indoor 3D scans. Learn more: https://t.co/9IiuYPS5XN https://t.co/Awgdq9q7xa
Open
Introducing the Habitat-Matterport 3D research data set for training embodied AI

Introducing the Habitat-Matterport 3D research data set for training embodied AI

Data sets used to train embodied AI have been in short supply. Now, Facebook AI is partnering with Matterport to make available to the academic research community Matterport’s open-sourced ...

@mxlearn shared
On Jun 26, 2021
[D] What are researchers who study neural network theory trying to achieve? https://t.co/ybPKUwzKSG
Open
[D] What are researchers who study neural network theory trying to achieve?

[D] What are researchers who study neural network theory trying to achieve?

6 votes and 5 comments so far on Reddit

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