Week Ending 11.10.19
RESEARCH WATCH: 11.10.19
Over the past week, 867 new papers were published in "Computer Science".
The paper discussed most in the news over the past week was by a team at Google: "Machine Learning for Scent: Learning Generalizable Perceptual Representations of Small Molecules" by Benjamin Sanchez-Lengeling et al (Oct 2019), which was referenced 25 times, including in the article Google Research team used machine learning to train AI to recognize smells in Brazil Beauty News. The paper author, Alexander B Wiltschko, was quoted saying "We know we have chiral pairs in our data set, and we know we cannot possibly be predicting them correctly".
Leading researcher Ruslan Salakhutdinov (Carnegie Mellon University) published "Multiple Futures Prediction", which has 0 shares on Twitter so far.
Over the past week, 49 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 OpenAI: "Solving Rubiks Cube with a Robot Hand" by OpenAI et al (Oct 2019), which was referenced 9 times, including in the article Don't fall for the hype around OpenAI's Rubik's Cube playing robot, Berkeley bans facial recognition, and more in The Register.
Over the past week, 95 new papers were published in "Computer Science - Computer Vision and Pattern Recognition".
The paper discussed most in the news over the past week was by a team at OpenAI: "Solving Rubiks Cube with a Robot Hand" by OpenAI et al (Oct 2019)
Leading researcher Ruslan Salakhutdinov (Carnegie Mellon University) published "Multiple Futures Prediction".
Over the past week, 14 new papers were published in "Computer Science - Computers and Society".
The paper discussed most in the news over the past week was "Component Mismatches Are a Critical Bottleneck to Fielding AI-Enabled Systems in the Public Sector" by Grace A. Lewis et al (Oct 2019), which was referenced 2 times, including in the article Researchers propose descriptors to prevent AI system component mismatches in Venturebeat.
Over the past week, 16 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 3 times, including in the article Sticks and stones may break your bones but robot taunts will hurt you – in games at least in The Register.
This week was active for "Computer Science - Learning", with 225 new papers.
The paper discussed most in the news over the past week was by a team at Google: "Machine Learning for Scent: Learning Generalizable Perceptual Representations of Small Molecules" by Benjamin Sanchez-Lengeling et al (Oct 2019)
Leading researcher Ruslan Salakhutdinov (Carnegie Mellon University) came out with "Multiple Futures Prediction".
Over the past week, five new papers were published in "Computer Science - Multiagent Systems".
Leading researcher Ruslan Salakhutdinov (Carnegie Mellon University)
Over the past week, 14 new papers were published in "Computer Science - Neural and Evolutionary Computing".
Over the past week, 21 new papers were published in "Computer Science - Robotics".
The paper discussed most in the news over the past week was by a team at OpenAI: "Solving Rubiks Cube with a Robot Hand" by OpenAI et al (Oct 2019)
Leading researcher Ruslan Salakhutdinov (Carnegie Mellon University)