Week Ending 8.1.2021
RESEARCH WATCH: 8.1.2021
Over the past week, 1,080 new papers were published in "Computer Science".
The paper discussed most in the news over the past week was by a team at The University of Sydney: "Nowcasting transmission and suppression of the Delta variant of SARS-CoV-2 in Australia" by Sheryl L. Chang et al (Jul 2021), which was referenced 31 times, including in the article Live: Queensland authorities to provide COVID update as school closes for contact tracing in ABC Online. The paper author, Mikhail Prokopenko (The University of Sydney), was quoted saying "As of July 2021, there is a continuing outbreak of the Delta variant of SARS-CoV-2 in Sydney. The outbreak is of major concern as the Delta variant is estimated to have twice the reproductive number of previous variants that circulated in Australia in 2020, which is also worsened by low levels of acquired immunity in the population".
Leading researcher Oriol Vinyals (DeepMind) came out with "Perceiver IO: A General Architecture for Structured Inputs & Outputs".
This week was very active for "Computer Science - Artificial Intelligence", with 180 new papers.
The paper discussed most in the news over the past week was "EvilModel: Hiding Malware Inside of Neural Network Models" by Zhi Wang et al (Jul 2021), which was referenced 13 times, including in the article Hiding malware inside AI neural networks in Tech Xplore.
Leading researcher Sergey Levine (University of California, Berkeley) published "Persistent Reinforcement Learning via Subgoal Curricula".
This week was active for "Computer Science - Computer Vision and Pattern Recognition", with 293 new papers.
The paper discussed most in the news over the past week was by a team at Carnegie Mellon University: "Learning by Watching" by Jimuyang Zhang et al (Jun 2021), which was referenced 3 times, including in the article Self-Taught, Self-Driving Cars? in Mirage News.
Leading researcher Oriol Vinyals (DeepMind) came out with "Perceiver IO: A General Architecture for Structured Inputs & Outputs".
This week was active for "Computer Science - Computers and Society", with 30 new papers.
The paper discussed most in the news over the past week was by a team at University of Toulouse: "Tortured phrases: A dubious writing style emerging in science. Evidence of critical issues affecting established journals" by Guillaume Cabanac et al (Jul 2021), which was referenced 8 times, including in the article Jeffrey Aronson: When I Use a Word . . . Tortured phrases in British Medical Journal.
This week was very active for "Computer Science - Human-Computer Interaction", with 44 new papers.
The paper discussed most in the news over the past week was "Predicting Game Engagement and Difficulty Using AI Players" by Shaghayegh Roohi et al (Jul 2021), which was referenced 1 time, including in the article Researchers Introduce Enhanced Deep RL Model For Automated Playtesting in Analytics India Magazine.
This week was very active for "Computer Science - Learning", with 333 new papers.
The paper discussed most in the news over the past week was by a team at OpenAI: "Evaluating Large Language Models Trained on Code" by Mark Chen et al (Jul 2021), which was referenced 13 times, including in the article GitHub Copilot Open Source Alternatives in KDNuggets.
Leading researcher Oriol Vinyals (DeepMind) published "Perceiver IO: A General Architecture for Structured Inputs & Outputs".
Over the past week, 15 new papers were published in "Computer Science - Multiagent Systems".
The paper discussed most in the news over the past week was by a team at The University of Sydney: "Nowcasting transmission and suppression of the Delta variant of SARS-CoV-2 in Australia" by Sheryl L. Chang et al (Jul 2021)
Over the past week, 21 new papers were published in "Computer Science - Neural and Evolutionary Computing".
This week was active for "Computer Science - Robotics", with 63 new papers.
The paper discussed most in the news over the past week was by a team at Carnegie Mellon University: "Learning by Watching" by Jimuyang Zhang et al (Jun 2021)
Leading researcher Sergey Levine (University of California, Berkeley) published "ReLMM: Practical RL for Learning Mobile Manipulation Skills Using Only Onboard Sensors".