Eye On AI

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Week Ending 3.21.2021

RESEARCH WATCH: 3.21.2021

This week was active for "Computer Science", with 1,129 new papers.

This week was very active for "Computer Science - Artificial Intelligence", with 165 new papers.

  • The paper discussed most in the news over the past week was by a team at Université de Montréal: "Towards Causal Representation Learning" by Bernhard Schölkopf et al (Feb 2021), which was referenced 8 times, including in the article Why AI struggles to grasp cause and effect in The Next Web. The paper also got the most social media traction with 436 shares. A user, @NalKalchbrenner, tweeted "Causality in ML is one of those slippery concepts that are hard to get a good grip on - a bit like the concepts of consciousness and perhaps truth. This paper makes an attempt 👇", while @YisongMiao said "Haven't read, seems like very interesting! RT for self-arxiv. Thanks!".

  • Leading researcher Dhruv Batra (Georgia Institute of Technology) came out with "Success Weighted by Completion Time: A Dynamics-Aware Evaluation Criteria for Embodied Navigation".

  • The paper shared the most on social media this week is "Requirement Engineering Challenges for AI-intense Systems Development" by Hans-Martin Heyn et al (Mar 2021) with 108 shares. The researchers argue that significant challenges relate to defining and ensuring behaviour and quality attributes of such systems and applications. @omarsar0 (elvis) tweeted "🚀 A great read for machine learning engineers. It focuses on the engineering challenges of AI-intense systems development. Topics range from data requirements to performance definition and monitoring. Lots of practical tips across different use cases".

This week was active for "Computer Science - Computer Vision and Pattern Recognition", with 277 new papers.

Over the past week, 12 new papers were published in "Computer Science - Computers and Society".

Over the past week, 23 new papers were published in "Computer Science - Human-Computer Interaction".

This week was very active for "Computer Science - Learning", with 314 new papers.

Over the past week, 13 new papers were published in "Computer Science - Multiagent Systems".

Over the past week, 15 new papers were published in "Computer Science - Neural and Evolutionary Computing".

This week was very active for "Computer Science - Robotics", with 109 new papers.


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