Week Ending 8.23.2020
RESEARCH WATCH: 8.23.2020
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 "Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence" by Shakir Mohamed et al (Jul 2020), which was referenced 4 times, including in the article The term ‘ethical AI’ is finally starting to mean something in Venturebeat. The paper author, William Isaac, was quoted saying "It enables us a new grammar and vocabulary to talk about both why these issues matter and what we are going to do to think about and address these issues over the long run". The paper also got the most social media traction with 853 shares. The authors explore the important role of critical science, and in particular of post - colonial and decolonial theories, in understanding and shaping the ongoing advances in artificial intelligence. On Twitter, @natematias posted "Encouraged to see more scholars connect postcolonial theory to tech. Nine years ago when I started my PhD, I quickly learned that CS wasn't interested in or even able to see that part of my expertise. Now that's changing".
Leading researcher Kyunghyun Cho (New York University) came out with "VisualSem: a high-quality knowledge graph for vision and language".
The paper shared the most on social media this week is "Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning" by Florian Fuchs et al (Aug 2020) with 147 shares. The researchers consider the task of autonomous car racing in the top - selling car racing game Gran Turismo Sport. @Underfox3 (Underfox) tweeted "Researchers have presented the first autonomous racing policy that achieves super-human performance in time trial settings in the Gran Turismo Sport. #DeepLearning".
This week was active for "Computer Science - Computer Vision and Pattern Recognition", with 262 new papers.
The paper discussed most in the news over the past week was "Rewriting a Deep Generative Model" by David Bau et al (Jul 2020), which was referenced 6 times, including in the article Rewriting rules of machine-generated art in Mirage News. The paper author, Antonio Torralba (Massachusetts Institute of Technology), was quoted saying "Even this relationship suggests that associations learned from data can be stored as lines of memory, and not only located but reversed". The paper got social media traction with 38 shares. The researchers introduce a new problem setting : manipulation of specific rules encoded by a deep generative model. On Twitter, @WisdomDalmeida observed "Search space is huge but Interesting direction although I think there might be better ways in the long run".
Leading researcher Kyunghyun Cho (New York University) published "VisualSem: a high-quality knowledge graph for vision and language".
The paper shared the most on social media this week is by a team at Zhejiang University: "Motion Capture from Internet Videos" by Junting Dong et al (Aug 2020) with 67 shares.
Over the past week, 26 new papers were published in "Computer Science - Computers and Society".
The paper discussed most in the news over the past week was "Large image datasets: A pyrrhic win for computer vision?" by Vinay Uday Prabhu et al (Jun 2020), which was referenced 12 times, including in the article I performed Error Analysis on Open Images and now I have trust issues in Towards Data Science. The paper author, Abeba Birhane, was quoted saying "Lack of scrutiny has played a role in the creation of monstrous and secretive datasets without much resistance, prompting further questions such as: what other secretive datasets currently exist hidden and guarded under the guise of proprietary assets?". The paper got social media traction with 89 shares. The authors investigate problematic practices and consequences of large scale vision datasets. On Twitter, @tserre posted "I had completely missed this announcement. Offensive and prejudicial images, and derogatory class labels were found in the tiny images dataset (after so many years!) and the dataset had to be removed. Serious issues with Imagenet too!".
This week was very active for "Computer Science - Human-Computer Interaction", with 39 new papers.
The paper discussed most in the news over the past week was by a team at Microsoft: "Pen-based Interaction with Spreadsheets in Mobile Virtual Reality" by Travis Gesslein et al (Aug 2020), which was referenced 5 times, including in the article Spreadsheets are getting a 3D avatar in Hindustan Times. The paper author, Jens Grubert (Coburg University of Applied Sciences and Arts), was quoted saying "long time collaborators". The paper was shared 2 times in social media.
This week was very active for "Computer Science - Learning", with 335 new papers.
The paper discussed most in the news over the past week was "The Computational Limits of Deep Learning" by Neil C. Thompson et al (Jul 2020), which was referenced 17 times, including in the article Is AI Changing The Face Of Modern Medicine? in Towards Data Science. The paper author, Neil Thompson, was quoted saying "You have to throw a lot more computation at something to get a little improvement in performance". The paper got social media traction with 445 shares. A user, @DataScienceNIG, tweeted "Is Deep Learning reaching a computational limit? Maybe yes, check a work by team based on a review of 1,058 research papers, spanning 5 prominent application areas conducting computation per network pass & hardware burden analysis. More".
The paper shared the most on social media this week is by a team at Google: "Whitening and second order optimization both destroy information about the dataset, and can make generalization impossible" by Neha S. Wadia et al (Aug 2020) with 236 shares. @popular_ML (Popular ML resources) tweeted "The most popular ArXiv tweet in the last 24h".
Over the past week, 14 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 Johannes Kepler University Linz: "Hopfield Networks is All You Need" by Hubert Ramsauer et al (Jul 2020), which was referenced 2 times, including in the article Sepp Hochreiter on Parallels Between Attention Mechanisms and Modern Hopfield Networks in SyncedReview.com. The paper author, Sepp Hochreiter (Johannes Kepler University Linz), was quoted saying "a word is most similar to itself and gets a high score." The paper also got the most social media traction with 853 shares. A user, @tmramalho, tweeted "Great paper but the elephant in the room is... Shouldn't it be "Hopfield Networks *are* All You Need"?", while @lorenlugosch posted "10 pages of paper. 75 pages of appendix".
This week was active for "Computer Science - Robotics", with 53 new papers.
The paper discussed most in the news over the past week was "Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning" by Florian Fuchs et al (Aug 2020), which was referenced 1 time, including in the article Fast and Furious! DRL-Fuelled Agents Grab Pole Position in Gran Turismo Sport in SyncedReview.com. The paper got social media traction with 147 shares. The investigators consider the task of autonomous car racing in the top - selling car racing game Gran Turismo Sport. A Twitter user, @Underfox3, observed "Researchers have presented the first autonomous racing policy that achieves super-human performance in time trial settings in the Gran Turismo Sport. #DeepLearning".