Week Ending 10.31.2021
RESEARCH WATCH: 10.31.2021
This week was active for "Computer Science", with 1,394 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 30 times, including in the article Chinese server-maker Inspur builds monster natural language processor in TheRegister.com.
Leading researcher Yoshua Bengio (Université de Montréal) published "From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence".
This week was extremely active for "Computer Science - Artificial Intelligence", with 250 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 Yoshua Bengio (Université de Montréal) came out with "Properties from Mechanisms: An Equivariance Perspective on Identifiable Representation Learning".
This week was very active for "Computer Science - Computer Vision and Pattern Recognition", with 310 new papers.
The paper discussed most in the news over the past week was "ADOP: Approximate Differentiable One-Pixel Point Rendering" by Darius Rückert et al (Oct 2021), which was referenced 3 times, including in the article AI can turn a collection of 2D images into an explorable 3D world in New Scientist. The paper author, Darius Rückert, was quoted saying "The more images you have, the better the quality".
Leading researcher Ruslan Salakhutdinov (Carnegie Mellon University) published "Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives".
This week was active for "Computer Science - Computers and Society", with 34 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 29 times, including in the article Client-Side Scanning: A New Front In the War on User Control of Technology in Just Security. 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 very active for "Computer Science - Human-Computer Interaction", with 39 new papers.
Leading researcher Devi Parikh (Georgia Institute of Technology) published "Telling Creative Stories Using Generative Visual Aids".
This week was extremely active for "Computer Science - Learning", with 638 new papers.
The paper discussed most in the news over the past week was by a team at Google: "Efficiently Identifying Task Groupings for Multi-Task Learning" by Christopher Fifty et al (Sep 2021), which was referenced 3 times, including in the article Deciding Which Tasks Should Train Together in Multi-Task Neural Networks in Google AI Blog.
Leading researcher Yoshua Bengio (Université de Montréal) published "From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence".
This week was active for "Computer Science - Multiagent Systems", with 26 new papers.
Leading researcher Abhinav Gupta (Carnegie Mellon University) published "Dynamic population-based meta-learning for multi-agent communication with natural language".
Over the past week, 21 new papers were published in "Computer Science - Neural and Evolutionary Computing".
The paper discussed most in the news over the past week was "Analysis of the first Genetic Engineering Attribution Challenge" by Oliver M. Crook et al (Oct 2021), which was referenced 4 times, including in the article How biological detective work can reveal who engineered a virus in MSN United States. The paper author, Will Bradshaw, was quoted saying "The enzymes that people use to cut up the DNA cut in different patterns and have different error profiles".
This week was very active for "Computer Science - Robotics", with 67 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 2 times, including in the article CoHaptics: A wearable haptic robot with a 6DoF camera to enhance the safety of human-robot collaboration in Tech Xplore. 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 Yoshua Bengio (Université de Montréal) published "From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence".