Week Ending 12.01.19
RESEARCH WATCH: 12.01.19
Over the past week, 96 new papers were published in "Computer Science - Artificial Intelligence".
The paper discussed most in the news over the past week was by a team at IBM: "Adversarial T-shirt! Evading Person Detectors in A Physical World" by Kaidi Xu et al (Oct 2019), which was referenced 13 times, including in the article Anti-surveillance t-shirts don’t fool security cameras in Quartz. The paper author, Xue Lin (Northeastern University), was quoted saying "Ours have been optimized a lot and can only have less than a 60% success rate".
Leading researcher Jianfeng Gao (Microsoft) published "PIQA: Reasoning about Physical Commonsense in Natural Language".
This week was active for "Computer Science - Computer Vision and Pattern Recognition", with 254 new papers.
The paper discussed most in the news over the past week was by a team at IBM: "Adversarial T-shirt! Evading Person Detectors in A Physical World" by Kaidi Xu et al (Oct 2019)
Leading researcher Trevor Darrell (UC Berkeley) published "Semantic Bottleneck Scene Generation".
Over the past week, 23 new papers were published in "Computer Science - Computers and Society".
Over the past week, 18 new papers were published in "Computer Science - Human-Computer Interaction".
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 Gamers Perform Worse When They’re Insulted: Study in Beebom. 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 very active for "Computer Science - Learning", with 366 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 38 times, including in the article AI Reveals Shakespeare Had Some Help From Fletcher In Writing His Masterpieces in International Business Times. The paper author, Petr Plecháč (University of Delaware), was quoted saying "Combined versification- and word-based models trained on 17th-century English drama yield a high accuracy of authorship recognition".
Leading researcher Trevor Darrell (UC Berkeley) came out with "Semantic Bottleneck Scene Generation".
Over the past week, 14 new papers were published in "Computer Science - Multiagent Systems".
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 by a team at Salesforce: "Single Headed Attention RNN: Stop Thinking With Your Head" by Stephen Merity (Nov 2019), which was referenced 2 times, including in the article AI Researcher Smerity Rips Apart Traditions, Coins The Term ‘Boooom Layer’ Because Why Not in Analytics India Magazine.
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 Carnegie Mellon University: "A Robots Expressive Language Affects Human Strategy and Perceptions in a Competitive Game" by Aaron M. Roth et al (Oct 2019)