Week Ending 11.18.18
RESEARCH WATCH: 11.18.18
Over the past week, 201 new papers were published in "Computer Science".
The paper discussed most in the news over the past week was "SpeedReader: Reader Mode Made Fast and Private" by Mohammad Ghasemisharif et al (Nov 2018), which was referenced 5 times, including in the article Brave promises websites will load 20 times faster with SpeedReader mode in CNET News.
Leading researcher Pieter Abbeel (University of California, Berkeley) came out with "An Algorithmic Perspective on Imitation Learning".
Over the past week, 87 new papers were published in "Computer Science - Artificial Intelligence".
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 4 times, including in the article MERGING MEMORY AND COMPUTATION, PROGRAMMABLE CHIP SPEEDS AI, SLASHES POWER USE in States News Service. 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 Ruslan Salakhutdinov (Carnegie Mellon University) published "On the Complexity of Exploration in Goal-Driven Navigation".
Over the past week, 126 new papers were published in "Computer Science - Computer Vision and Pattern Recognition".
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 4 times, including in the article MERGING MEMORY AND COMPUTATION, PROGRAMMABLE CHIP SPEEDS AI, SLASHES POWER USE in States News Service. 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 Aaron Courville (Université de Montréal) published "Blindfold Baselines for Embodied QA".
Over the past week, 172 new papers were published in "Computer Science - Learning".
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 4 times, including in the article MERGING MEMORY AND COMPUTATION, PROGRAMMABLE CHIP SPEEDS AI, SLASHES POWER USE in States News Service. 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) came out with "Machine Learning for Combinatorial Optimization: a Methodological Tour dHorizon".
Over the past week, 16 new papers were published in "Computer Science - Neural and Evolutionary Computing".
The paper discussed most in the news over the past week was "Reward learning from human preferences and demonstrations in Atari" by Borja Ibarz et al (Nov 2018), which was referenced 1 time, including in the article OpenAI and DeepMind AI system achieves ‘superhuman’ performance in Pong and Enduro in Venturebeat.
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 "Limited Visibility and Uncertainty Aware Motion Planning for Automated Driving" by Omer Sahin Tas et al (Oct 2018), which was referenced 3 times, including in the article Motion planning for automated driving under uncertainty and with limited visibility in PhysOrg.com.
Leading researcher Pieter Abbeel (University of California, Berkeley) came out with "An Algorithmic Perspective on Imitation Learning".