Week Ending 03.24.19

 

RESEARCH WATCH: 03.24.19

 
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Over the past week, 194 new papers were published in "Computer Science".

Over the past week, 60 new papers were published in "Computer Science - Artificial Intelligence".

Over the past week, 155 new papers were published in "Computer Science - Computer Vision and Pattern Recognition".

  • The paper discussed most in the news over the past week was "Predictive Inequity in Object Detection" by Benjamin Wilson et al (Feb 2019), which was referenced 66 times, including in the article Racist Self-Driving Cars Concerns Are (Well-Intentioned) Clickbait in The Drive. The paper author, Jamie Morgenstern (University of Pennsylvania), was quoted saying "The main takeaway from our work is that vision systems that share common structures to the ones we tested should be looked at more closely". The paper got social media traction with 165 shares. The authors investigate whether state - of - the - art object detection systems have equitable predictive performance on pedestrians with different skin tones. A user, @defcon_5, tweeted "This is what systemic racism looks like.🚨🚨🚨 Black people may be at a greater risk of getting hit by self-driving cars because today's object-detection models exhibit higher precision on lighter skin tones #whitesupremacy".

  • Leading researcher Yoshua Bengio (Université de Montréal) published "Online continual learning with no task boundaries", which is getting attention with 23 shares this week. The authors break the limits and move to the more challenging online setting where they assume no information of tasks in the data stream. @TheOrbifold tweeted "Funny how research papers often in no (clear) way answer the original question. Here: how can continuous learning wihtout forgetting be implemented? One would think that knowledge representation is inevitable".

  • This paper was also shared the most on social media with 721 tweets. @avsa (alex van de sande) tweeted "Source for that (and many other GAN algorithms) are flickr cc photosets. Flickr is like that whale that, for many years after its death, it still feeds a thriving ecosystem on its remains".

Over the past week, 13 new papers were published in "Computer Science - Computers and Society".

Over the past week, 19 new papers were published in "Computer Science - Human-Computer Interaction".

Over the past week, 153 new papers were published in "Computer Science - Learning".

  • The paper discussed most in the news over the past week was "Predictive Inequity in Object Detection" by Benjamin Wilson et al (Feb 2019), which was referenced 66 times, including in the article Racist Self-Driving Cars Concerns Are (Well-Intentioned) Clickbait in The Drive. The paper author, Jamie Morgenstern (University of Pennsylvania), was quoted saying "The main takeaway from our work is that vision systems that share common structures to the ones we tested should be looked at more closely". The paper got social media traction with 165 shares. The investigators investigate whether state - of - the - art object detection systems have equitable predictive performance on pedestrians with different skin tones. On Twitter, @defcon_5 commented "This is what systemic racism looks like.🚨🚨🚨 Black people may be at a greater risk of getting hit by self-driving cars because today's object-detection models exhibit higher precision on lighter skin tones #whitesupremacy".

  • Leading researcher Pieter Abbeel (University of California, Berkeley) came out with "Towards Characterizing Divergence in Deep Q-Learning" The researchers give a simple analysis based on a linear approximation to the Q - value updates, which they believe provides insight into divergence under the deadly triad. @aravind7694 tweeted "is one of the fewest people who run rigorous experiments. Note that this paper *actually* reports mixed resultsunlike in usual cases where the proposed method *always somehow* is better than baselines".

  • The paper shared the most on social media this week is by a team at University of California, Berkeley: "Semantic Image Synthesis with Spatially-Adaptive Normalization" by Taesung Park et al (Mar 2019) with 721 shares. @spiltlens (iej) tweeted "give this tech 10 more years and all these movies that are just shots of different handwritten letters over and over again arent even gonna be recognizable as cinema".

  • The most influential Twitter user discussing papers is Ian Sample who shared "Smart Home Personal Assistants: A Security and Privacy Review" by Jide S. Edu et al (Mar 2019) and said: "How easy is it to hack Amazon Echo et al? Good review of weaknesses here".

Over the past week, eight 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".

Over the past week, 43 new papers were published in "Computer Science - Robotics".


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Artificial Intelligence, Research WatchCraig SmithComment