Week Ending 9.6.2020
RESEARCH WATCH: 9.6.2020
This week was active for "Computer Science - Artificial Intelligence", with 114 new papers.
The paper discussed most in the news over the past week was by a team at DeepMind: "Discovering Reinforcement Learning Algorithms" by Junhyuk Oh et al (Jul 2020), which was referenced 5 times, including in the article Remote Workforce shifting CIO Priorities in 2020, AI Ethics and GPT-3 in Medium.com. The paper got social media traction with 153 shares. The investigators introduce a new meta - learning approach that discovers an entire update rule which includes both what to predict . A user, @pcaversaccio, tweeted "#DeepMind published a paper describing a new deep reinforcement learning algorithm that discovered its own value function. I'm not sure whether I should be happy about that. This actually means that the value function could also include "destroy humanity"".
The paper shared the most on social media this week is by a team at DeepMind: "Grounded Language Learning Fast and Slow" by Felix Hill et al (Sep 2020) with 199 shares. The investigators show that an embodied agent situated in a simulated 3D world, and endowed with a novel dual - coding external memory, can exhibit similar one - shot word learning when trained with conventional reinforcement learning algorithms. @NPCollapse (Connor Leahy) tweeted "This paper (by et al) is really an "It's all coming together" moment for I feel. Let me try to describe my takeaways from my first readthrough. 1/14".
This week was active for "Computer Science - Computer Vision and Pattern Recognition", with 211 new papers.
The paper discussed most in the news over the past week was "OpenBot: Turning Smartphones into Robots" by Matthias Müller et al (Aug 2020), which was referenced 4 times, including in the article Intel Develops $50 3D Printed OpenBot to Advance Robotics Accessibility in 3DPrint.com. The paper got social media traction with 8 shares. A Twitter user, @EdgeImpulse, said "These researchers designed a $50 robotic platform that leverages your smartphone for sensing and computation".
Leading researcher Kyunghyun Cho (New York University) came out with "A Framework For Contrastive Self-Supervised Learning And Designing A New Approach" @s_scardapane tweeted "👉 Link to the paper: 👉 Nice blog post by the authors: 👉 And of course, the implementation".
The paper shared the most on social media this week is by a team at Virginia Tech: "Flow-edge Guided Video Completion" by Chen Gao et al (Sep 2020) with 1816 shares. @EladRichardson (Elad Richardson) tweeted "Amazing Results! ".
This week was active for "Computer Science - Computers and Society", with 43 new papers.
The paper discussed most in the news over the past week was "Auditing Digital Platforms for Discrimination in Economic Opportunity Advertising" by Sara Kingsley et al (Aug 2020), which was referenced 5 times, including in the article Does Facebook still sell discriminatory ads? in The Next Web. The paper author, Sara Kingsley (Carnegie Mellon University), was quoted saying "For pretty much all the types of credit ads that we’ve analyzed". The paper got social media traction with 6 shares. On Twitter, @sendgoodcheers said "A version of our working paper is available here: We recently presenting this work at".
The paper shared the most on social media this week is by a team at Ritsumeikan University: "Excavating Excavating AI: The Elephant in the Gallery" by Michael J. Lyons (Sep 2020) with 183 shares.
This week was very active for "Computer Science - Human-Computer Interaction", with 57 new papers.
The paper discussed most in the news over the past week was "Auditing Digital Platforms for Discrimination in Economic Opportunity Advertising" by Sara Kingsley et al (Aug 2020)
The paper shared the most on social media this week is by a team at Ritsumeikan University: "Excavating Excavating AI: The Elephant in the Gallery" by Michael J. Lyons (Sep 2020)
The most influential Twitter user discussing papers is Cliff Pickover who shared "Diophantine and tropical geometry, and uniformity of rational points on curves" by Eric Katz et al (Jun 2016) and said: "Isn't this an exotic-looking math diagram? I found it in this paper". Note that this paper was published about four years ago.
This week was active for "Computer Science - Learning", with 265 new papers.
The paper discussed most in the news over the past week was by a team at DeepMind: "Discovering Reinforcement Learning Algorithms" by Junhyuk Oh et al (Jul 2020)
Leading researcher Kyunghyun Cho (New York University) published "A Framework For Contrastive Self-Supervised Learning And Designing A New Approach" @s_scardapane tweeted "👉 Link to the paper: 👉 Nice blog post by the authors: 👉 And of course, the implementation".
The paper shared the most on social media this week is by a team at Ritsumeikan University: "Excavating Excavating AI: The Elephant in the Gallery" by Michael J. Lyons (Sep 2020)
The most influential Twitter user discussing papers is Cliff Pickover who shared "Diophantine and tropical geometry, and uniformity of rational points on curves" by Eric Katz et al (Jun 2016)
Over the past week, 19 new papers were published in "Computer Science - Multiagent Systems".
The paper discussed most in the news over the past week was "AllenAct: A Framework for Embodied AI Research" by Luca Weihs et al (Aug 2020), which was referenced 1 time, including in the article How Open-Sourcing AllenAct Provides A Substantial Growth For Embodied AI in Analytics India Magazine. The paper also got the most social media traction with 63 shares. On Twitter, @RoozbehMottaghi commented "This graph shows the growth of Embodied AI over the past 5 years. We used the data from to create it. More details here: figure credit".
Over the past week, 20 new papers were published in "Computer Science - Neural and Evolutionary Computing".
Over the past week, 41 new papers were published in "Computer Science - Robotics".
The paper discussed most in the news over the past week was "OpenBot: Turning Smartphones into Robots" by Matthias Müller et al (Aug 2020)