Week Ending 02.03.19
RESEARCH WATCH: 02.03.19
Over the past week, 219 new papers were published in "Computer Science".
The paper discussed most in the news over the past week was "Autonomous visual inspection of large-scale infrastructures using aerial robots" by Christoforos Kanellakis et al (Jan 2019), which was referenced 10 times, including in the article Autonomous visual inspection of large-scale infrastructures using micro aerial vehicles (MAVs) in PhysOrg.com. The paper author, George Nikolakopoulos (Researchers), was quoted saying "We are currently working on improving the robustness of the technology to be directly applicable in multiple use cases, while we are also close to [finalizing] the creation of our spinoff in the field of autonomous aerial inspection".
Leading researcher Jianfeng Gao (Microsoft) came out with "Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models".
Over the past week, 70 new papers were published in "Computer Science - Artificial Intelligence".
The paper discussed most in the news over the past week was "Reverse-Engineering Satire, or Paper on Computational Humor Accepted Despite Making Serious Advances"by Robert West et al (Jan 2019), which was referenced 5 times, including in the article Here’s what makes satire so funny, according to science in Science News Online.
Leading researcher Pieter Abbeel (University of California, Berkeley) published "Visual Hindsight Experience Replay".
Over the past week, 146 new papers were published in "Computer Science - Computer Vision and Pattern Recognition".
The paper discussed most in the news over the past week was "MIMIC-CXR: A large publicly available database of labeled chest radiographs" by Alistair E. W. Johnson et al (Jan 2019), which was referenced 6 times, including in the article MIMIC Chest X-Ray database to provide researchers access to over 350,000 radiographs in MIT News. The paper author, Alistair E. W. Johnson (Research Scientist), was quoted saying "With single center studies, you’re never sure if what you’ve found is true of everyone, or a consequence of the type of patients the hospital sees, or the way it gives its care".
Leading researcher Luc Van Gool (Computer Vision Laboratory) published "End-to-end Lane Detection through Differentiable Least-Squares Fitting".
Over the past week, 20 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: "Disturbed YouTube for Kids: Characterizing and Detecting Disturbing Content on YouTube" by Kostantinos Papadamou et al (Jan 2019), which was referenced 2 times, including in the article YouTube Algorithm 'Likely' to Expose Toddlers to 'Inappropriate' Videos, Study Finds in Pajamas Media.
This week was very active for "Computer Science - Learning", with 308 new papers.
The paper discussed most in the news over the past week was "MIMIC-CXR: A large publicly available database of labeled chest radiographs" by Alistair E. W. Johnson et al (Jan 2019), which was referenced 6 times, including in the article MIMIC Chest X-Ray database to provide researchers access to over 350,000 radiographs in MIT News. The paper author, Alistair E. W. Johnson (Research Scientist), was quoted saying "With single center studies, you’re never sure if what you’ve found is true of everyone, or a consequence of the type of patients the hospital sees, or the way it gives its care".
Leading researcher Yoshua Bengio (Université de Montréal) came out with "InfoBot: Transfer and Exploration via the Information Bottleneck".
Over the past week, 14 new papers were published in "Computer Science - Multiagent Systems".
The paper discussed most in the news over the past week was by a team at DeepMind: "Open-ended Learning in Symmetric Zero-sum Games" by David Balduzzi et al (Jan 2019), which was referenced 1 time, including in the article Google’s AI surfs the “gamescape” to conquer game theory in ZDNet. The paper author, David Balduzzi (Victoria University of Wellington), was quoted saying "unify modern gradient and reinforcement-based learning with the adaptive objectives derived from game-theoretic considerations."
Over the past week, 24 new papers were published in "Computer Science - Neural and Evolutionary Computing".
Leading researcher Pieter Abbeel (University of California, Berkeley) published "Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design".
Over the past week, 35 new papers were published in "Computer Science - Robotics".
The paper discussed most in the news over the past week was "Autonomous visual inspection of large-scale infrastructures using aerial robots" by Christoforos Kanellakis et al (Jan 2019), which was referenced 10 times, including in the article Autonomous visual inspection of large-scale infrastructures using micro aerial vehicles (MAVs) in PhysOrg.com. The paper author, George Nikolakopoulos (Researchers), was quoted saying "We are currently working on improving the robustness of the technology to be directly applicable in multiple use cases, while we are also close to [finalizing] the creation of our spinoff in the field of autonomous aerial inspection".