Week Ending 8.22.2021
RESEARCH WATCH: 8.22.2021
Over the past week, 1,029 new papers were published in "Computer Science".
The paper discussed most in the news over the past week was by a team at OpenAI: "Evaluating Large Language Models Trained on Code" by Mark Chen et al (Jul 2021), which was referenced 28 times, including in the article What to expect from OpenAI’s Codex API in Venturebeat. The paper author, Greg Brockman (OpenAI), was quoted saying "It could basically do any language task you would ask it. So the thing that was funny for us was to see that the applications that most captured people's imaginations, ones that most inspired people, were the programming applications, because we didn't make that model to be good at coding at all. And so we knew if we put in some effort we could probably make something happen."
Leading researcher Luc Van Gool (Computer Vision Laboratory) came out with "Deep Reparametrization of Multi-Frame Super-Resolution and Denoising".
This week was very active for "Computer Science - Artificial Intelligence", with 147 new papers.
The paper discussed most in the news over the past week was by a team at Stanford University: "On the Opportunities and Risks of Foundation Models" by Rishi Bommasani et al (Aug 2021), which was referenced 3 times, including in the article Top Weekly News: Tesla AI Day To Foundation Model in Analytics India Magazine. The paper author, Mark Zuckerberg, was quoted saying "What I think is most interesting is how these themes will come together into a bigger idea. Our overarching goal across all of these initiatives is to help bring the metaverse to life."
This week was very active for "Computer Science - Computer Vision and Pattern Recognition", with 340 new papers.
The paper discussed most in the news over the past week was by a team at The University of Adelaide: "Reading Race: AI Recognises Patients Racial Identity In Medical Images" by Imon Banerjee et al (Jul 2021), which was referenced 12 times, including in the article Who Will Save Us From Racist AI? in Quillette. The paper author, Marc Anthony, was quoted saying "The evil that men do lives after them; the good is oft interred with their bones."
Leading researcher Luc Van Gool (Computer Vision Laboratory) came out with "End-to-End Urban Driving by Imitating a Reinforcement Learning Coach".
Over the past week, 17 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 The University of Adelaide: "Reading Race: AI Recognises Patients Racial Identity In Medical Images" by Imon Banerjee et al (Jul 2021)
Over the past week, 21 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 Karlsruhe Institute of Technology: "Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic Segmentation" by Haobin Tan et al (Aug 2021), which was referenced 1 time, including in the article ML For Drones: Better, Faster And Crash-Proof in Analytics India Magazine.
This week was very active for "Computer Science - Learning", with 315 new papers.
The paper discussed most in the news over the past week was by a team at OpenAI: "Evaluating Large Language Models Trained on Code" by Mark Chen et al (Jul 2021)
Over the past week, 11 new papers were published in "Computer Science - Multiagent Systems".
Over the past week, 14 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 University of Siena: "Logic Explained Networks" by Gabriele Ciravegna et al (Aug 2021), which was referenced 1 time, including in the article Logic Explained Deep Neural Networks: A General Approach to Explainable AI in SyncedReview.com.
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 Karlsruhe Institute of Technology: "Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic Segmentation" by Haobin Tan et al (Aug 2021)
Leading researcher Luc Van Gool (Computer Vision Laboratory) came out with "End-to-End Urban Driving by Imitating a Reinforcement Learning Coach".