Week Ending 12.15.19
RESEARCH WATCH: 12.15.19
Over the past week, 57 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: "On the Measure of Intelligence" by François Chollet (Nov 2019), which was referenced 8 times, including in the article Towards Neuroscience-Grounded Artificial Intelligence in Towards Data Science. The paper author, François Chollet (Google), was quoted saying "A lot of well-funded, large-scale gradient-descent projects get carried out as a way to generate bombastic press articles that misleadingly suggest that human-level AI is perhaps a few years away".
Leading researcher Yoshua Bengio (Université de Montréal) published "CLOSURE: Assessing Systematic Generalization of CLEVR Models".
This week was active for "Computer Science - Computer Vision and Pattern Recognition", with 246 new papers.
The paper discussed most in the news over the past week was by a team at MIT: "Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization" by Miika Aittala et al (Dec 2019), which was referenced 4 times, including in the article MIT CSAIL: Revealing hidden video from shadows in Tech Xplore.
Leading researcher Pieter Abbeel (University of California, Berkeley) came out with "AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos".
Over the past week, 18 new papers were published in "Computer Science - Computers and Society".
The paper discussed most in the news over the past week was "Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging" by Muhammad Ali et al (Dec 2019), which was referenced 8 times, including in the article How Facebook's Political Ad System Is Designed to Polarize in Wired News. The paper author, Alan Mislove (Professor of computer science at Northeastern), was quoted saying "We found that Facebook will disproportionately deliver an ad to the users who [Facebook] believes agree with the ad, based only on the content".
Over the past week, 18 new papers were published in "Computer Science - Human-Computer Interaction".
This week was very active for "Computer Science - Learning", with 307 new papers.
The paper discussed most in the news over the past week was by a team at Google: "The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design" by Jeffrey Dean (Nov 2019), which was referenced 6 times, including in the article Google AI chief Jeff Dean interview: Machine learning trends in 2020 in Venturebeat.
Leading researcher Pieter Abbeel (University of California, Berkeley)
Over the past week, 19 new papers were published in "Computer Science - Multiagent Systems".
The paper discussed most in the news over the past week was "An analysis of Uniswap markets" by Guillermo Angeris et al (Nov 2019), which was referenced 2 times, including in the article Decentralized Liquidity Is the Backbone of DeFi in Yahoo! Singapore.
Over the past week, 24 new papers were published in "Computer Science - Neural and Evolutionary Computing".
The paper discussed most in the news over the past week was "An analysis of Uniswap markets": "Deep Double Descent: Where Bigger Models and More Data Hurt" by Preetum Nakkiran et al (Dec 2019), which was referenced 2 times, including in the article Weekly Papers | Praising PyTorch; Improving Lip Reading; Generating Structured Text and More in SyncedReview.com.
Over the past week, 39 new papers were published in "Computer Science - Robotics".
The paper discussed most in the news over the past week was "IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks" by Youngwoon Lee et al (Nov 2019), which was referenced 3 times, including in the article An IKEA furniture assembly environment to train robots on complex manipulation tasks in Tech Xplore.
Leading researcher Pieter Abbeel (University of California, Berkeley) published "AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos".