Week Ending 3.21.2021
RESEARCH WATCH: 3.21.2021
This week was active for "Computer Science", with 1,129 new papers.
The paper discussed most in the news over the past week was by a team at Carnegie Mellon University: "Gender Bias, Social Bias and Representation: 70 Years of BHHollywood" by Kunal Khadilkar et al (Feb 2021), which was referenced 12 times, including in the article Bollywood ‘biases’ presented by Carnegie Mellon’s AI tool: Upper caste Hindu doctors & no NE in ThePrint. The paper author, Ashiqur R. KhudaBukhsh (Carnegie Mellon University), was quoted saying "All of these things we kind of knew, but now we have numbers to quantify them". The paper got social media traction with 12 shares. A user, @KunalKhadilkar, tweeted "Hi Alison, I am so glad you found our research interesting. I would love to talk more about how we used linguistic techniques for uncovering social biases. The full paper is available at".
Leading researcher Pieter Abbeel (University of California, Berkeley) published "Mutual Information State Intrinsic Control".
The paper shared the most on social media this week is by a team at IT University of Copenhagen: "Growing 3D Artefacts and Functional Machines with Neural Cellular Automata" by Shyam Sudhakaran et al (Mar 2021) with 279 shares. The authors propose an extension of NCAs to 3D, utilizing 3D convolutions in the proposed neural network architecture. @hardmaru (hardmaru) tweeted "Growing 3D Artefacts and Functional Machines with Neural Cellular Automata They use Neural CA to generate moving creatures in Minecraft. When they're cut into pieces, each piece has the ability to regenerate into a fully formed creature. Super cool work!".
This week was very active for "Computer Science - Artificial Intelligence", with 165 new papers.
The paper discussed most in the news over the past week was by a team at Université de Montréal: "Towards Causal Representation Learning" by Bernhard Schölkopf et al (Feb 2021), which was referenced 8 times, including in the article Why AI struggles to grasp cause and effect in The Next Web. The paper also got the most social media traction with 436 shares. A user, @NalKalchbrenner, tweeted "Causality in ML is one of those slippery concepts that are hard to get a good grip on - a bit like the concepts of consciousness and perhaps truth. This paper makes an attempt 👇", while @YisongMiao said "Haven't read, seems like very interesting! RT for self-arxiv. Thanks!".
Leading researcher Dhruv Batra (Georgia Institute of Technology) came out with "Success Weighted by Completion Time: A Dynamics-Aware Evaluation Criteria for Embodied Navigation".
The paper shared the most on social media this week is "Requirement Engineering Challenges for AI-intense Systems Development" by Hans-Martin Heyn et al (Mar 2021) with 108 shares. The researchers argue that significant challenges relate to defining and ensuring behaviour and quality attributes of such systems and applications. @omarsar0 (elvis) tweeted "🚀 A great read for machine learning engineers. It focuses on the engineering challenges of AI-intense systems development. Topics range from data requirements to performance definition and monitoring. Lots of practical tips across different use cases".
This week was active for "Computer Science - Computer Vision and Pattern Recognition", with 277 new papers.
The paper discussed most in the news over the past week was by a team at Princeton University: "A Study of Face Obfuscation in ImageNet" by Kaiyu Yang et al (Mar 2021), which was referenced 6 times, including in the article Researchers Blur Faces That Launched a Thousand Algorithms in Wired News. The paper author, Olga Russakovsky (Princeton University), was quoted saying "We hope this proof-of-concept paves the way for more privacy-aware visual data collection practices in the field". The paper got social media traction with 18 shares. The authors explore image obfuscation in the ImageNet challenge.
The paper shared the most on social media this week is by a team at Microsoft: "FastNeRF: High-Fidelity Neural Rendering at 200FPS" by Stephan J. Garbin et al (Mar 2021) with 146 shares. @pbaylies (Peter Baylies) tweeted "The telepresence application mentioned here is crazy - fast light fields for VR teleconferencing? Very nice, Microsoft".
Over the past week, 12 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 Carnegie Mellon University: "Gender Bias, Social Bias and Representation: 70 Years of BHHollywood" by Kunal Khadilkar et al (Feb 2021)
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 "Reducing cybersickness in 360-degree virtual reality" by Iqra Arshad et al (Mar 2021), which was referenced 4 times, including in the article VR-induced ‘cybersickness’ could soon be eradicated with a clever new algorithm in Digital Trends. The paper author, Jason McEwen, was quoted saying "The user is then able to move about in the reconstructed scene, and novel synthetic viewpoints are then rendered on the fly and served to the user depending on their position in the scene". The paper was shared 3 times in social media. The investigators investigated cybersickness in 360-degree VR.
This week was very active for "Computer Science - Learning", with 314 new papers.
The paper discussed most in the news over the past week was by a team at Université de Montréal: "Towards Causal Representation Learning" by Bernhard Schölkopf et al (Feb 2021)
Leading researcher Pieter Abbeel (University of California, Berkeley) came out with "Mutual Information State Intrinsic Control".
The paper shared the most on social media this week is by a team at IT University of Copenhagen: "Growing 3D Artefacts and Functional Machines with Neural Cellular Automata" by Shyam Sudhakaran et al (Mar 2021)
Over the past week, 13 new papers were published in "Computer Science - Multiagent Systems".
Over the past week, 15 new papers were published in "Computer Science - Neural and Evolutionary Computing".
This week was very active for "Computer Science - Robotics", with 109 new papers.
Leading researcher Dhruv Batra (Georgia Institute of Technology) published "Success Weighted by Completion Time: A Dynamics-Aware Evaluation Criteria for Embodied Navigation".