Week Ending 11.24.19
RESEARCH WATCH: 11.24.19
This week was active for "Computer Science - Artificial Intelligence", with 98 new papers.
The paper discussed most in the news over the past week was "Generating Interactive Worlds with Text" by Angela Fan et al (Nov 2019), which was referenced 4 times, including in the article Facebook trains AI to generate worlds in a fantasy text adventure in TaableNote News.
Leading researcher Sergey Levine (University of California, Berkeley) published "Planning with Goal-Conditioned Policies".
This week was very active for "Computer Science - Computer Vision and Pattern Recognition", with 309 new papers.
The paper discussed most in the news over the past week was "Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research" by Krishna Murthy Jatavallabhula et al (Nov 2019), which was referenced 4 times, including in the article Google Health Data Backlash; Microsoft Head of AI and Research Splits; Bengio vs Marcus in Christmas Debate in SyncedReview.com.
Leading researcher Yoshua Bengio (Université de Montréal) published "Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models".
This week was active for "Computer Science - Computers and Society", with 30 new papers.
This week was active for "Computer Science - Human-Computer Interaction", with 28 new papers.
The paper discussed most in the news over the past week was by a team at Carnegie Mellon University: "A Robots Expressive Language Affects Human Strategy and Perceptions in a Competitive Game" by Aaron M. Roth et al (Oct 2019), which was referenced 59 times, including in the article 'Rude' robot able to distract gamers in BBC. The paper author, Fei Fang (Carnegie Mellon University), was quoted saying "We can expect home assistants to be co-operative - but in situations such as online shopping, they may not have the same goals as we do".
This week was extremely active for "Computer Science - Learning", with 464 new papers.
The paper discussed most in the news over the past week was by a team at University of Delaware: "Relative contributions of Shakespeare and Fletcher in Henry VIII: An Analysis Based on Most Frequent Words and Most Frequent Rhythmic Patterns" by Petr Plecháč (Oct 2019), which was referenced 26 times, including in the article Machine learning has revealed exactly how much of a Shakespeare play was written by someone else in Technology Review.
Leading researcher Yoshua Bengio (Université de Montréal) came out with "Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models".
This week was active for "Computer Science - Multiagent Systems", with 20 new papers.
Over the past week, 25 new papers were published in "Computer Science - Neural and Evolutionary Computing".
This week was active for "Computer Science - Robotics", with 55 new papers.
The paper discussed most in the news over the past week was by a team at Carnegie Mellon University: "A Robots Expressive Language Affects Human Strategy and Perceptions in a Competitive Game" by Aaron M. Roth et al (Oct 2019)
Leading researcher Sergey Levine (University of California, Berkeley) came out with "Planning with Goal-Conditioned Policies".