2019 in Review: 10 AI Papers That Made an Impact

2019 in Review: 10 AI Papers That Made an Impact

  • January 23, 2020
Table of Contents

2019 in Review: 10 AI Papers That Made an Impact

Synced spotlights 10 artificial intelligence papers that garnered extraordinary attention and accolades in 2019. The volume of peer-reviewed AI research papers has grown by more than 300 percent over the past three decades (Stanford AI Index 2019), and the top AI conferences in 2019 saw a deluge of paper. CVPR submissions spiked to 5,165, a 56 percent increase over 2018; ICLR received 1,591 main conference paper submissions, up 60 percent over last year; ACL reported a record-breaking 2,906 submissions, almost doubling last year’s 1,544; and ICCV 2019 received 4,303 submissions, more than twice the 2017 total.

As part of our year-end series, Synced spotlights 10 artificial intelligence papers that garnered extraordinary attention and accolades in 2019.

Source: medium.com

Tags :
Share :
comments powered by Disqus

Related Posts

The Effects of Mixing Machine Learning and Human Judgment

The Effects of Mixing Machine Learning and Human Judgment

In 1997 IBM’s Deep Blue software beat the World Chess Champion Garry Kasparov in a series of six matches. Since then, other programs have beaten human players in games ranging from Jeopardy to Go. Inspired by his loss, Kasparov decided in 2005 to test the success of Human+AI pairs in an online chess tournament.2

Read More
How we built the good first issues feature

How we built the good first issues feature

We’ve recently launched good first issues recommendations to help new contributors find easy gateways into open source projects. Read about the machine learning engine behind these recommendations. GitHub is leveraging machine learning (ML) to help more people contribute to open source.

Read More