Week Ending 11.14.2021

RESEARCH WATCH: 11.14.2021

Over the past week, 1,051 new papers were published in "Computer Science".

The paper discussed most in the news over the past week was by a team at University of Oxford: "lambeq: An Efficient High-Level Python Library for Quantum NLP" by Dimitri Kartsaklis et al (Oct 2021), which was referenced 100 times, including in the article The First Quantum Toolkit And Library For Natural Language Processing in Analytics India Magazine. The paper author, Kartsaklis, was quoted saying "There is a lot of interesting theoretical work on QNLP, but theory usually stands at some distance from practice".
Leading researcher Sergey Levine (University of California, Berkeley) published "AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale".

This week was very active for "Computer Science - Artificial Intelligence", with 194 new papers.

The paper discussed most in the news over the past week was by a team at University of Oxford: "lambeq: An Efficient High-Level Python Library for Quantum NLP" by Dimitri Kartsaklis et al (Oct 2021)
Leading researcher Abhinav Gupta (Carnegie Mellon University) published "A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation".

This week was active for "Computer Science - Computer Vision and Pattern Recognition", with 223 new papers.

The paper discussed most in the news over the past week was by a team at University of Oxford: "PASS: An ImageNet replacement for self-supervised pretraining without humans" by Yuki M. Asano et al (Sep 2021), which was referenced 4 times, including in the article Akira’s Machine Learning News — Issue #33 in Medium.com.

This week was active for "Computer Science - Computers and Society", with 38 new papers.

The paper discussed most in the news over the past week was "Bugs in our Pockets: The Risks of Client-Side Scanning" by Hal Abelson et al (Oct 2021), which was referenced 30 times, including in the article The Lawfare Podcast: Susan Landau and Ross Anderson on the Going Dark Debate and the Risks of Client-Side Scanning in Lawfare. The paper author, Troncoso, was quoted saying "The checks and balances that limit the scope of previous surveillance methods in democracies just aren’t there with broad deployment of CSS. As law-abiding citizens, we should be free to use our devices to make our lives easier, without worry of being bugged like a spy movie villain".

This week was active for "Computer Science - Human-Computer Interaction", with 34 new papers.

The paper discussed most in the news over the past week was "Enabling a Social Robot to Process Social Cues to Detect when to Help a User" by Jason R. Wilson et al (Oct 2021), which was referenced 2 times, including in the article A technique that allows robots to detect when humans need help in Tech Xplore. The paper author, Jason R. Wilson (Researchers), was quoted saying "We are now continuing to explore what social cues would best allow a robot to determine when a user needs help and how much help they want".

This week was very active for "Computer Science - Learning", with 409 new papers.

The paper discussed most in the news over the past week was by a team at Queen’s University: "Realistic galaxy image simulation via score-based generative models" by Michael J. Smith (Hertfordshire) et al (Nov 2021), which was referenced 7 times, including in the article NASA space images for training algorithms are all fake – except one in WhatsNew2Day

Over the past week, nine new papers were published in "Computer Science - Multiagent Systems".

Over the past week, 17 new papers were published in "Computer Science - Neural and Evolutionary Computing".

This week was active for "Computer Science - Robotics", with 55 new papers.

The paper discussed most in the news over the past week was by a team at Massachusetts Institute of Technology: "A System for General In-Hand Object Re-Orientation" by Tao Chen et al (Nov 2021), which was referenced 3 times, including in the article Dexterous robotic hands manipulate thousands of objects with ease in Mirage News. The paper author, Tao Chen (Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials), was quoted saying "In industry, a parallel-jaw gripper is most commonly used, partially due to its simplicity in control, but it’s physically unable to handle many tools we see in daily life".
Leading researcher Sergey Levine (University of California, Berkeley) came out with "AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale".