Week Ending 7.18.2021
RESEARCH WATCH: 7.18.2021
This week was active for "Computer Science", with 1,145 new papers.
The paper discussed most in the news over the past week was by a team at Google: "Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better" by Gaurav Menghani (Jun 2021), which was referenced 33 times, including in the article High-Performance Deep Learning: How to train smaller, faster, and better models – Part 5 in KDNuggets.
Leading researcher Oriol Vinyals (DeepMind) published "The Benchmark Lottery".
This week was very active for "Computer Science - Artificial Intelligence", with 213 new papers.
The paper discussed most in the news over the past week was by a team at University of Electronic Science and Technology of China: "Quantum belief function" by Qianli Zhou et al (Jul 2021), which was referenced 1 time, including in the article New Study Proposes Quantum Belief Function, Achieves Exponential Time Acceleration in SyncedReview.com.
Leading researcher Oriol Vinyals (DeepMind) published "The Benchmark Lottery".
This week was active for "Computer Science - Computer Vision and Pattern Recognition", with 251 new papers.
The paper discussed most in the news over the past week was by a team at SETI Institute: "Recovery of Meteorites Using an Autonomous Drone and Machine Learning" by Robert I. Citron et al (Jun 2021), which was referenced 15 times, including in the article Autonomous drones learn to find “hidden” meteor impact sites in Archynewsy. The paper author, Robert Citron, was quoted saying "with a larger training dataset, updated classification scheme, and improved imaging hardware, machine learning coupled to an autonomous drone survey could prove a valuable tool for increasing the number of meteorite fragments found from fresh falls."
Leading researcher Oriol Vinyals (DeepMind) published "The Benchmark Lottery".
Over the past week, 21 new papers were published in "Computer Science - Computers and Society".
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 29 times, including in the article Research identified tweets from Pakistan supportive of India during crisis in Tech Xplore. The paper author, KhudaBukhsh, was quoted saying "These two countries have such an acrimonious past".
This week was active for "Computer Science - Human-Computer Interaction", with 34 new papers.
This week was very active for "Computer Science - Learning", with 376 new papers.
The paper discussed most in the news over the past week was by a team at Google: "Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better" by Gaurav Menghani (Jun 2021)
Leading researcher Oriol Vinyals (DeepMind) published "The Benchmark Lottery".
Over the past week, nine 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 7 times, including in the article Modelling indicates more Sydney-siders should keep their distance to control COVID-19 in Mandarin.com.au. 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".
The paper discussed most in the news over the past week was "Transformers with multi-modal features and post-fusion context for e-commerce session-based recommendation" by Gabriel de Souza P. Moreira et al (Jul 2021), which was referenced 1 time, including in the article Winning the SIGIR eCommerce Challenge on session-based recommendation with Transformers in Medium.com.
This week was very active for "Computer Science - Robotics", with 80 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 17 times, including in the article Watch This Autonomous Microdrone Swarm Sniff Out A Gas Leak in Forbes.com. 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 Sergey Levine (University of California, Berkeley) came out with "MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning".