Week Ending 12.6.2020
RESEARCH WATCH: 12.6.2020
Over the past week, 748 new papers were published in "Computer Science".
The paper discussed most in the news over the past week was by a team at Tel-Aviv University: "Automated triage of COVID-19 from various lung abnormalities using chest CT features" by Dor Amran et al (Oct 2020), which was referenced 10 times, including in the article RADLogics Announces New Advancements and Research in AI-Powered COVID-19 Medical Imaging Solutions in Benzinga.com. The paper got social media traction with 6 shares. The authors propose a fully automated AI based system that takes as input chest CT scans and triages COVID-19 cases.
Leading researcher Abhinav Gupta (Carnegie Mellon University) came out with "Neural Dynamic Policies for End-to-End Sensorimotor Learning".
The paper shared the most on social media this week is by a team at Oregon State University: "Scaling *down* Deep Learning" by Sam Greydanus (Nov 2020) with 260 shares. @ml_collective (ML Collective) tweeted "Here comes 1d MNIST! What’s next? 0-d MNIST? 🤔".
Over the past week, 85 new papers were published in "Computer Science - Artificial Intelligence".
The paper discussed most in the news over the past week was by a team at Rutgers University: "Deep learning for video game genre classification" by Yuhang Jiang et al (Nov 2020), which was referenced 5 times, including in the article Researchers Developed an AI-Model to Easily Classify Video Games Based on Their Covers in Beebom. The paper got social media traction with 13 shares. On Twitter, @ml_india_ observed "#AINews: Researchers have combined cutting-edge image recognition and NLP to create an AI system for video game genre classification based on its cover! 🕹 Details: Paper: #ArtificialIntelligence #MachineLearning #DataScience".
Leading researcher Abhinav Gupta (Carnegie Mellon University) published "Neural Dynamic Policies for End-to-End Sensorimotor Learning".
This week was active for "Computer Science - Computer Vision and Pattern Recognition", with 229 new papers.
The paper discussed most in the news over the past week was by a team at Tel-Aviv University: "Automated triage of COVID-19 from various lung abnormalities using chest CT features" by Dor Amran et al (Oct 2020)
Leading researcher Abhinav Gupta (Carnegie Mellon University) published "Neural Dynamic Policies for End-to-End Sensorimotor Learning".
The paper shared the most on social media this week is by a team at Arizona State University: "Unsupervised Deep Video Denoising" by Dev Yashpal Sheth et al (Nov 2020) with 65 shares. @DFLEISCHERCAMP (Dean Fleischer-Camp) tweeted "what? don’t get rid of the noise that’s the coolest part".
Over the past week, 25 new papers were published in "Computer Science - Computers and Society".
The paper discussed most in the news over the past week was "Assured Autonomy: Path Toward Living With Autonomous Systems We Can Trust" by Ufuk Topcu et al (Oct 2020), which was referenced 5 times, including in the article Living with autonomous systems "we can trust" in EurekAlert!. The paper author, Ufuk Topcu (University of Texas at Austin), was quoted saying "Autonomy is a socioeconomic opportunity as well as a challenge, and the public will both perceive and be affected by it unevenly". The paper was shared 4 times in social media.
This week was active for "Computer Science - Human-Computer Interaction", with 27 new papers.
The paper discussed most in the news over the past week was "Assured Autonomy: Path Toward Living With Autonomous Systems We Can Trust" by Ufuk Topcu et al (Oct 2020)
This week was active for "Computer Science - Learning", with 255 new papers.
The paper discussed most in the news over the past week was by a team at Google: "Underspecification Presents Challenges for Credibility in Modern Machine Learning" by Alexander D'Amour et al (Nov 2020), which was referenced 9 times, including in the article AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2020 and Key Trends for 2021 in KDNuggets. The paper author, Alex D’Amour, was quoted saying "We are asking more of machine-learning models than we are able to guarantee with our current approach". The paper got social media traction with 1548 shares. A Twitter user, @popular_ML, commented "The most popular ArXiv tweet in the last 24h", while @julius_adebayo posted "This week's new must read 30 pager. Domain shift and spurious training signals are major open problems in ML".
Leading researcher Abhinav Gupta (Carnegie Mellon University) came out with "Neural Dynamic Policies for End-to-End Sensorimotor Learning".
The paper shared the most on social media this week is by a team at Oregon State University: "Scaling *down* Deep Learning" by Sam Greydanus (Nov 2020)
Over the past week, six new papers were published in "Computer Science - Multiagent Systems".
The paper discussed most in the news over the past week was "Assured Autonomy: Path Toward Living With Autonomous Systems We Can Trust" by Ufuk Topcu et al (Oct 2020)
Over the past week, 14 new papers were published in "Computer Science - Neural and Evolutionary Computing".
The paper discussed most in the news over the past week was by a team at DeepMind: "Meta-trained agents implement Bayes-optimal agents" by Vladimir Mikulik et al (Oct 2020), which was referenced 1 time, including in the article Understanding meta-trained algorithms through a Bayesian lens in Medium.com. The paper got social media traction with 131 shares. On Twitter, @SeanOBr83726519 commented "Very important. Many assume the need for Understandable AI is about the end user, but I think this is really only true indirectly. Much more important: it is needed by the developer, by the testers, by the DevSecOps team".
The paper shared the most on social media this week is by a team at Oregon State University: "Scaling *down* Deep Learning" by Sam Greydanus (Nov 2020)
Over the past week, 33 new papers were published in "Computer Science - Robotics".
The paper discussed most in the news over the past week was "Waymo Public Road Safety Performance Data" by Matthew Schwall et al (Oct 2020), which was referenced 2 times, including in the article This Arizona college student has taken over 60 driverless Waymo rides in ArsTechnica. The paper author, Mathew Schwall, was quoted saying "Nearly all the actual and simulated events involved one or more road rule violations or other incautious behavior by another agent, including all eight of the most severe events involving actual or expected airbag deployment". The paper was shared 2 times in social media.
Leading researcher Abhinav Gupta (Carnegie Mellon University) came out with "Neural Dynamic Policies for End-to-End Sensorimotor Learning". This paper was also shared the most on social media with 15 tweets.