Week Ending 11.25.18
RESEARCH WATCH: 11.25.18
Over the past week, 199 new papers were published in "Computer Science".
The paper discussed most in the news over the past week was "A Microprocessor implemented in 65nm CMOS with Configurable and Bit-scalable Accelerator for Programmable In-memory Computing" by Hongyang Jia et al (Nov 2018), which was referenced 5 times, including in the article Power/Performance Bits: Nov 20 in Semiconductor Engineering. The paper author, Naveen Verma, was quoted saying "In-memory computing has been showing a lot of promise in recent years, in really addressing the energy and speed of computing systems".
Leading researcher Yoshua Bengio (Université de Montréal) published "Interpretable Convolutional Filters with SincNet".
Over the past week, 80 new papers were published in "Computer Science - Artificial Intelligence".
The pape discussed most in the news over the past week was "A Microprocessor implemented in 65nm CMOS with Configurable and Bit-scalable Accelerator for Programmable In-memory Computing" by Hongyang Jia et al (Nov 2018), which was referenced 5 times, including in the article Power/Performance Bits: Nov 20 in Semiconductor Engineering. The paper author, Naveen Verma, was quoted saying "In-memory computing has been showing a lot of promise in recent years, in really addressing the energy and speed of computing systems".
Leading researcher Yoshua Bengio (Université de Montréal) published "DEFactor: Differentiable Edge Factorization-based Probabilistic Graph Generation".
This week was active for "Computer Science - Computer Vision and Pattern Recognition", with 274 new papers.
The paper discussed most in the news over the past week was "A Microprocessor implemented in 65nm CMOS with Configurable and Bit-scalable Accelerator for Programmable In-memory Computing" by Hongyang Jia et al (Nov 2018), which was referenced 5 times, including in the article Power/Performance Bits: Nov 20 in Semiconductor Engineering. The paper author, Naveen Verma, was quoted saying "In-memory computing has been showing a lot of promise in recent years, in really addressing the energy and speed of computing systems".
Leading researcher Yoshua Bengio (Université de Montréal) published "Keep Drawing It: Iterative language-based image generation and editing".
Over the past week, 14 new papers were published in "Computer Science - Computers and Society".
The paper discussed most in the news over the past week was by a team at Cid:63)Cyprus University of Technology: "Who Let The Trolls Out? Towards Understanding State-Sponsored Trolls" by Savvas Zannettou et al (Nov 2018), which was referenced 1 time, including in the article Who let the trolls out? Researchers investigate state-sponsored trolls in PhysOrg.com. The paper author, Savvas Zannettou (Cid:63)Cyprus University of Technology), was quoted saying "Our goal was to take advantage of this precious ground truth dataset, analyzing it across several axes in order to better understand the behavior and the influence of these state-sponsored accounts".
Over the past week, 16 new papers were published in "Computer Science - Human-Computer Interaction".
The paper discussed most in the news over the past week was "A personal model of trumpery: Deception detection in a real-world high-stakes setting" by Sophie van der Zeeet al (Nov 2018), which was referenced 1 time, including in the article Talk in Trump's tweets tells whether tale is true: Code can mostly spot Prez lies from wording in The Register.
Over the past week, 175 new papers were published in "Computer Science - Learning".
The paper discussed most in the news over the past week was "Large Scale GAN Training for High Fidelity Natural Image Synthesis" by Andrew Brock et al (Sep 2018), which was referenced 12 times, including in the article Learning computer vision in Medium.com. The paper author, Andrew Brock et al, was quoted saying "There’s not a practical application unless you’re trying to generate fake news of really realistic puppies".
Leading researcher Yoshua Bengio (Université de Montréal) published "Interpretable Convolutional Filters with SincNet".
Over the past week, 13 new papers were published in "Computer Science - Multiagent Systems".
· Over the past month, 45 new articles were published — about the same as the average monthly rate. The new articles cover all of the 7 topics in this space of 94 articles.
· The topic Integration & Industrial is new with 4 articles. Research on Mechanism & Influence and Byzantine & Rules remained strong. Meanwhile, there was a significant drop off in research on Policy & Multiagent which was averaging 8.00 papers/month but only saw 4 new papers over the past month.
· Published work includes the recently uploaded "Cooperation in the spatial prisoners dilemma game with probabilistic abstention" by Marcos Cardinot et al published in the respected journal Scientific Reports.
Over the past week, 23 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 IBM: "Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks" by Xiaodong Cui et al (Oct 2018), which was referenced 1 time, including in the article IBM Research AI at 2018 Conference on Neural Information Processing Systems in IBM Research.
Leading researcher Yoshua Bengio (Université de Montréal) came out with "Interpretable Convolutional Filters with SincNet".
Over the past week, 31 new papers were published in "Computer Science - Robotics".
The paper discussed most in the news over the past week was by a team at Stanford University: "RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation" by Ajay Mandlekar et al (Nov 2018), which was referenced 1 time, including in the article RoboTurk: A crowdsourcing platform for imitation learning in robotics in PhysOrg.com. The paper author, Garg, was quoted saying "Robots are a very exciting technology that will enable people to be more productive and independent in all spheres of human activity, for instance providing a helping hand in the kitchen, caretakers for the senior population, and better care for patients".
Leading researcher Aaron Courville (Université de Montréal) came out with "Planning in Dynamic Environments with Conditional Autoregressive Models".