Week Ending 11.7.2021
RESEARCH WATCH: 11.7.2021
This week was active for "Computer Science", with 1,199 new papers.
The paper discussed most in the news over the past week was "Yuan 1.0: Large-Scale Pre-trained Language Model in Zero-Shot and Few-Shot Learning" by Shaohua Wu et al (Oct 2021), which was referenced 32 times, including in the article Best of arXiv.org for AI, Machine Learning, and Deep Learning – October 2021 in InsideBIGDATA.
Leading researcher Kyunghyun Cho (New York University) came out with "AlphaD3M: Machine Learning Pipeline Synthesis".
This week was very active for "Computer Science - Artificial Intelligence", with 218 new papers.
The paper discussed most in the news over the past week was "Yuan 1.0: Large-Scale Pre-trained Language Model in Zero-Shot and Few-Shot Learning" by Shaohua Wu et al (Oct 2021)
Leading researcher Pieter Abbeel (University of California, Berkeley) came out with "B-Pref: Benchmarking Preference-Based Reinforcement Learning".
This week was active for "Computer Science - Computer Vision and Pattern Recognition", with 241 new papers.
The paper discussed most in the news over the past week was by a team at Ben-Gurion University of the Negev: "Dodging Attack Using Carefully Crafted Natural Makeup" by Nitzan Guetta et al (Sep 2021), which was referenced 16 times, including in the article Radar trends to watch: November 2021 in O'Reilly Network.
Leading researcher Pieter Abbeel (University of California, Berkeley) came out with "Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning".
Over the past week, 24 new papers were published in "Computer Science - Computers and Society".
The paper discussed most in the news over the past week was "Truthful AI: Developing and governing AI that does not lie" by Owain Evans et al (Oct 2021), which was referenced 1 time, including in the article Best of arXiv.org for AI, Machine Learning, and Deep Learning – October 2021 in InsideBIGDATA.
This week was very active for "Computer Science - Human-Computer Interaction", with 36 new papers.
The paper discussed most in the news over the past week was "3D Human Pose Estimation for Free-form Activity Using WiFi Signals" by Yili Ren et al (Oct 2021), which was referenced 2 times, including in the article Winect: A system that tracks 3D human poses during free-form motion in Tech Xplore. The paper author, Jie Yang (Shanghai Jiao Tong University), was quoted saying "For example, if a user is laying down on the bed without moving, he/she could be sleeping or simply listening to music, so it could be difficult for existing systems to fully understand what they are sensing without the context".
Leading researcher Pieter Abbeel (University of California, Berkeley) published "B-Pref: Benchmarking Preference-Based Reinforcement Learning".
This week was extremely active for "Computer Science - Learning", with 491 new papers.
The paper discussed most in the news over the past week was by a team at Ben-Gurion University of the Negev: "Dodging Attack Using Carefully Crafted Natural Makeup" by Nitzan Guetta et al (Sep 2021)
Leading researcher Kyunghyun Cho (New York University) published "AlphaD3M: Machine Learning Pipeline Synthesis".
Over the past week, ten new papers were published in "Computer Science - Multiagent Systems".
Over the past week, 19 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 Rutgers University: "BioGrad: Biologically Plausible Gradient-Based Learning for Spiking Neural Networks" by Guangzhi Tang et al (Oct 2021), which was referenced 1 time, including in the article Stay updated with Neuroscience: October 2021 Must-Reads in Towards Data Science.
This week was very active for "Computer Science - Robotics", with 78 new papers.
The paper discussed most in the news over the past week was "CoHaptics: Development of Human-Robot Collaborative System with Forearm-worn Haptic Display to Increase Safety in Future Factories" by Miguel Altamirano Cabrera et al (Sep 2021), which was referenced 3 times, including in the article Monthly Robotics News – October 2021 in A3 Robotics. The paper author, Miguel Altamirano Cabrera, was quoted saying "For example, if you work in an assembly line, where the elements to assemble products are heavy or different small parts are used, one collaborative robot can support you in picking up the heavy pieces and bring you close to the place to assemble the parts".
Leading researcher Pieter Abbeel (University of California, Berkeley) published "Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning".