Week Ending 7.25.2021
RESEARCH WATCH: 7.25.2021
Over the past week, 1,054 new papers were published in "Computer Science".
The paper discussed most in the news over the past week was "Empathy and Hope: Resource Transfer to Model Inter-country Social Media Dynamics" by Clay H. Yoo et al (Jun 2021), which was referenced 30 times, including in the article Study Finds Support for India During COVID-19 Surge Wednesday, July 14, 2021 Study Finds Support for India During COVID-19 Surge in Carnegie Melon. The paper author, KhudaBukhsh, was quoted saying "These two countries have such an acrimonious past".
Leading researcher Oriol Vinyals (DeepMind) came out with "WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset".
This week was very active for "Computer Science - Artificial Intelligence", with 152 new papers.
The paper discussed most in the news over the past week was "A Survey of Transformers" by Tianyang Lin et al (Jun 2021), which was referenced 9 times, including in the article Ask Me Anything about Vector Search in Towards Data Science.
Leading researcher Oriol Vinyals (DeepMind) published "WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset".
This week was active for "Computer Science - Computer Vision and Pattern Recognition", with 213 new papers.
The paper discussed most in the news over the past week was by a team at Peking University: "CMT: Convolutional Neural Networks Meet Vision Transformers" by Jianyuan Guo et al (Jul 2021), which was referenced 1 time, including in the article Vision Transformers or Convolutional Neural Networks? Both! in Towards Data Science.
Leading researcher Pieter Abbeel (University of California, Berkeley) came out with "Playful Interactions for Representation Learning".
This week was active for "Computer Science - Computers and Society", with 35 new papers.
The paper discussed most in the news over the past week was "Empathy and Hope: Resource Transfer to Model Inter-country Social Media Dynamics" by Clay H. Yoo et al (Jun 2021)
This week was very active for "Computer Science - Human-Computer Interaction", with 37 new papers.
This week was very active for "Computer Science - Learning", with 377 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 10 times, including in the article Data Science Weekly Newsletter - Issue 431 (Jul 08, 2021) in Data Science Weekly.
Leading researcher Pieter Abbeel (University of California, Berkeley) published "Hierarchical Few-Shot Imitation with Skill Transition Models".
Over the past week, 13 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), which was referenced 15 times, including in the article The lowdown on lockdowns: Do they work? in Sydney Morning Herald. 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".
Over the past week, 22 new papers were published in "Computer Science - Neural and Evolutionary Computing".
This week was very active for "Computer Science - Robotics", with 69 new papers.
The paper discussed most in the news over the past week was by a team at Delft University of Technology: "Sniffy Bug: A Fully Autonomous Swarm of Gas-Seeking Nano Quadcopters in Cluttered Environments" by Bardienus P. Duisterhof et al (Jul 2021), which was referenced 18 times, including in the article Swarm of autonomous tiny drones can localise gas leaks in ProcessOnline.com.au. The paper author, Guido de Croon, was quoted saying "We are convinced that swarms of tiny drones are a promising avenue for autonomous gas source localization".
Leading researcher Pieter Abbeel (University of California, Berkeley) came out with "Hierarchical Few-Shot Imitation with Skill Transition Models".