Week Ending 03.03.19
RESEARCH WATCH: 03.03.19
Over the past week, 281 new papers were published in "Computer Science".
The paper discussed most in the news over the past week was "GILT: Generating Images from Long Text" by Ori Bar El et al (Jan 2019), which was referenced 22 times, including in the article Artificial Intelligence Guessed What These Recipes Look Like in VICE. The paper author, Ori Bar El, was quoted saying "[One] challenge we faced was the fact that the quality of the images in the dataset we used was low".
Leading researcher Jianfeng Gao (Microsoft) came out with "Jointly Optimizing Diversity and Relevance in Neural Response Generation".
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 "GILT: Generating Images from Long Text" by Ori Bar El et al (Jan 2019), which was referenced 22 times, including in the article Artificial Intelligence Guessed What These Recipes Look Like in VICE. The paper author, Ori Bar El, was quoted saying "[One] challenge we faced was the fact that the quality of the images in the dataset we used was low".
Leading researcher Jianfeng Gao (Microsoft) came out with "Jointly Optimizing Diversity and Relevance in Neural Response Generation".
Over the past week, 197 new papers were published in "Computer Science - Computer Vision and Pattern Recognition".
The paper discussed most in the news over the past week was "GILT: Generating Images from Long Text" by Ori Bar El et al (Jan 2019), which was referenced 22 times, including in the article Artificial Intelligence Guessed What These Recipes Look Like in VICE. The paper author, Ori Bar El, was quoted saying "[One] challenge we faced was the fact that the quality of the images in the dataset we used was low".
Leading researcher Jianfeng Gao (Microsoft) published "Object-driven Text-to-Image Synthesis via Adversarial Training".
Over the past week, 16 new papers were published in "Computer Science - Computers and Society".
The paper discussed most in the news over the past week was "Cyber Security Awareness Campaigns: Why do they fail to change behaviour?" by Maria Bada et al (Jan 2019), which was referenced 5 times, including in the article Kids need to learn about cybersecurity, but teachers only have so much time in the day in Conversation AU.
Over the past week, 14 new papers were published in "Computer Science - Human-Computer Interaction".
The paper discussed most in the news over the past week was "Cyber Security Awareness Campaigns: Why do they fail to change behaviour?" by Maria Bada et al (Jan 2019), which was referenced 5 times, including in the article Kids need to learn about cybersecurity, but teachers only have so much time in the day in Conversation AU.
This week was active for "Computer Science - Learning", with 221 new papers.
The paper discussed most in the news over the past week was "GILT: Generating Images from Long Text" by Ori Bar El et al (Jan 2019), which was referenced 22 times, including in the article Artificial Intelligence Guessed What These Recipes Look Like in VICE. The paper author, Ori Bar El, was quoted saying "[One] challenge we faced was the fact that the quality of the images in the dataset we used was low".
Leading researcher Sergey Levine (University of California, Berkeley) came out with "Model-Based Reinforcement Learning for Atari".
Over the past week, ten new papers were published in "Computer Science - Multiagent Systems".
Over the past week, 14 new papers were published in "Computer Science - Neural and Evolutionary Computing".
The paper discussed most in the news over the past week was "Evolutionary Neural AutoML for Deep Learning" by Jason Liang et al (Feb 2019), which was referenced 1 time, including in the article IT leader Cognizant evolves AI beyond 'hill climbing' in ZDNet. The paper author, Babak Hodjat (Vice president of projects for "Evolutionary Innovation" at IT services giant Cognizant Technologies), was quoted saying "If you make good progress toward your objective, you might downplay novelty and then switch back to it if you get stuck in local optima".
This week was very active for "Computer Science - Robotics", with 66 new papers.
The paper discussed most in the news over the past week was by a team at Google: "Long-Range Indoor Navigation with PRM-RL" by Anthony Francis et al (Feb 2019), which was referenced 4 times, including in the article Long-Range Robotic Navigation via Automated Reinforcement Learning in CHROME RELEASES.