Week Ending 3.15.2020
RESEARCH WATCH: 3.15.2020
Over the past week, 846 new papers were published in "Computer Science".
The paper discussed most in the news over the past week was by a team at Google: "Learning to Walk in the Real World with Minimal Human Effort" by Sehoon Ha et al (Feb 2020), which was referenced 38 times, including in the article Google researchers teach a robot how to walk in Medium.com. The paper author, Jie Tan (Google), was quoted saying "Now is still the early days of research. Next, we plan to test our learning system on a wide range of robots and in a more diverse set of environments". Chelsea Finn (University of California, Berkeley), who is not part of the study, said "Removing the person from the process is really hard. By allowing robots to learn more autonomously, robots are closer to being able to learn in the real world that we live in, rather than in a lab."
Leading researcher Yoshua Bengio (Université de Montréal) published "Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling".
Over the past week, 95 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 Google: "Learning to Walk in the Real World with Minimal Human Effort" by Sehoon Ha et al (Feb 2020)
Leading researcher Yoshua Bengio (Université de Montréal) came out with "Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling".
This week was active for "Computer Science - Computer Vision and Pattern Recognition", with 215 new papers.
The paper discussed most in the news over the past week was by a team at University of Chicago: "Fawkes: Protecting Personal Privacy against Unauthorized Deep Learning Models" by Shawn Shan et al (Feb 2020), which was referenced 7 times, including in the article Researchers Want To Protect Your Selfies From Facial Recognition in Vice Magazine US. The paper author, Tao Li (Renmin University of China), was quoted saying "The target of this technique is to fool face detection algorithms, which has been shown to be more capable than human beings, and, in the meantime, preserve the perceptual quality for human eyes".
Leading researcher Pieter Abbeel (University of California, Berkeley) came out with "Learning Predictive Representations for Deformable Objects Using Contrastive Estimation".
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 "The Problem with Metrics is a Fundamental Problem for AI" by Rachel Thomas et al (Feb 2020), which was referenced 3 times, including in the article Coronavirus: What does the data say? in World Economic Forum.
Over the past week, 23 new papers were published in "Computer Science - Human-Computer Interaction".
The paper discussed most in the news over the past week was "This PIN Can Be Easily Guessed" by Philipp Markert et al (Mar 2020), which was referenced 8 times, including in the article How secure are four and six-digit mobile phone PINs? in EurekAlert!. The paper author, Maximilian Golla, was quoted saying "Since users only have ten attempts to guess the PIN on the iPhone anyway, the blacklist does not make it any more secure".
This week was active for "Computer Science - Learning", with 269 new papers.
The paper discussed most in the news over the past week was by a team at Google: "Learning to Walk in the Real World with Minimal Human Effort" by Sehoon Ha et al (Feb 2020)
Leading researcher Yoshua Bengio (Université de Montréal)
Over the past week, 11 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 Google: "AutoML-Zero: Evolving Machine Learning Algorithms From Scratch" by Esteban Real et al (Mar 2020), which was referenced 2 times, including in the article Four short links: 11 March 2020 in O'Reilly Network.
This week was very active for "Computer Science - Robotics", with 93 new papers.
The paper discussed most in the news over the past week was by a team at Google: "Learning to Walk in the Real World with Minimal Human Effort" by Sehoon Ha et al (Feb 2020)
Leading researcher Pieter Abbeel (University of California, Berkeley) published "Learning Predictive Representations for Deformable Objects Using Contrastive Estimation".