Week Ending 11.28.2021
RESEARCH WATCH: 11.28.2021
This week was active for "Computer Science", with 1,111 new papers.
The paper discussed most in the news over the past week was by a team at Massachusetts Institute of Technology: "ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier to Mine Exoplanets" by Hamed Valizadegan et al (Nov 2021), which was referenced 79 times, including in the article NASA Confirms Existence of Hundreds of New Worlds Outside Our Solar System in Newsweek. The paper author, Hamed Valizadegan (Machine learning manager with the Universities Space Research Association at Ames), was quoted saying "When ExoMiner says something is a planet, you can be sure it’s a planet. ExoMiner is highly accurate and in some ways more reliable than both existing machine classifiers and the human experts it’s meant to emulate because of the biases that come with human labeling. Now that we’ve trained ExoMiner using Kepler data, with a little fine-tuning, we can transfer that learning to other missions, including TESS, which we’re currently working on. There’s room to grow."
Leading researcher Aaron Courville (Université de Montréal) came out with "Multi-label Iterated Learning for Image Classification with Label Ambiguity".
This week was very active for "Computer Science - Artificial Intelligence", with 176 new papers.
The paper discussed most in the news over the past week was by a team at Massachusetts Institute of Technology: "A System for General In-Hand Object Re-Orientation" by Tao Chen et al (Nov 2021), which was referenced 6 times, including in the article Dexterous robotic hands manipulate objects with ease in Control Engineering. The paper author, Tao Chen (Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials), was quoted saying "In industry, a parallel-jaw gripper is most commonly used, partially due to its simplicity in control, but it’s physically unable to handle many tools we see in daily life".
Leading researcher Aaron Courville (Université de Montréal) published "Multi-label Iterated Learning for Image Classification with Label Ambiguity".
This week was very active for "Computer Science - Computer Vision and Pattern Recognition", with 379 new papers.
The paper discussed most in the news over the past week was "Non-deep Networks" by Ankit Goyal et al (Oct 2021), which was referenced 3 times, including in the article Non-Deep Networks in Towards Data Science.
Leading researcher Aaron Courville (Université de Montréal) published "Multi-label Iterated Learning for Image Classification with Label Ambiguity".
Over the past week, 22 new papers were published in "Computer Science - Computers and Society".
The paper discussed most in the news over the past week was by a team at Aalborg University: "COVID-19 vaccination certificates in the Darkweb" by Dimitrios Georgoulias et al (Nov 2021), which was referenced 1 time, including in the article Criminals with “advanced forging” selling valid vaccine certificates on the dark web in Eminetra.co.uk.
This week was active for "Computer Science - Human-Computer Interaction", with 24 new papers.
This week was very active for "Computer Science - Learning", with 377 new papers.
The paper discussed most in the news over the past week was by a team at Massachusetts Institute of Technology: "ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier to Mine Exoplanets" by Hamed Valizadegan et al (Nov 2021)
Leading researcher Aaron Courville (Université de Montréal) came out with "Multi-label Iterated Learning for Image Classification with Label Ambiguity".
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".
This week was active for "Computer Science - Robotics", with 56 new papers.
The paper discussed most in the news over the past week was by a team at Massachusetts Institute of Technology: "A System for General In-Hand Object Re-Orientation" by Tao Chen et al (Nov 2021)
Leading researcher Sergey Levine (University of California, Berkeley) published "Hybrid Imitative Planning with Geometric and Predictive Costs in Off-road Environments".