Week Ending 09.22.19
RESEARCH WATCH: 09.22.19
Over the past week, 988 new papers were published in "Computer Science".
The paper discussed most in the news over the past week was "Differentially Private SQL with Bounded User Contribution" by Royce J Wilson et al (Sep 2019), which was referenced 22 times, including in the article Google's Federated Learning tech gets privacy enhancements in ChannelLife NZ. The paper author, Damien Desfontaines (Google privacy software engineer), was quoted saying "OK so why am I so excited about this release? So many reasons. First, the code is the same one we use internally. It powers massive-scale tools and major use cases".
Leading researcher Oriol Vinyals (DeepMind) came out with "Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML", which has 0 shares on Twitter so far.
This week was active for "Computer Science - Artificial Intelligence", with 100 new papers.
The paper discussed most in the news over the past week was "DeepPrivacy: A Generative Adversarial Network for Face Anonymization" by Håkon Hukkelås et al (Sep 2019), which was referenced 12 times, including in the article AI Versus AI: Is Ethics An Arms Race? in Forbes.com. The paper got social media traction with 288 shares. A Twitter user, @fenbielding, observed "Scramble suits in the next 5 years?", while @RD_Partners commented "Adding features and emotions back into anonymized faces may seem counter-intuitive, but researchers have developed a technique that attempts to do just that, and it could be the key to clearer incognito communication. Read more".
This week was active for "Computer Science - Computer Vision and Pattern Recognition", with 228 new papers.
The paper discussed most in the news over the past week was "Progressive Face Super-Resolution via Attention to Facial Landmark" by Deokyun Kim et al (Aug 2019), which was referenced 15 times, including in the article Will Photo Enhancement Tech Lead Us Closer to Becoming a Police State? in New York Observer. The paper also got the most social media traction with 1096 shares. On Twitter, @JohnAndrewsX said "So if AI can do this today, imagine what happens when implement AI-drivatars in Forza games one day >> True Unbeatable Mode 🤘😈🤘 #ForzaHorizon #ForzaMotorsport".
Leading researcher Luc Van Gool (Computer Vision Laboratory) came out with "Extremely Weak Supervised Image-to-Image Translation for Semantic Segmentation".
The paper shared the most on social media this week is "Making the Invisible Visible: Action Recognition Through Walls and Occlusions" by Tianhong Li et al (Sep 2019) with 80 shares. @memotv (Memo Akten) tweeted "Yes, this is real rsrch that is happening. Justified as crucial for autonomous car safety, to see around corners; behind buses, lorries etc. Many ppl find this awesome & exciting. I rly don't want to be a grumpy old f, but yes, be prepared for this future".
Over the past week, 19 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 Universidade Federal de Minas Gerais: "Auditing Radicalization Pathways on YouTube" by Manoel Horta Ribeiro et al (Aug 2019), which was referenced 21 times, including in the article No excuse to give people like Ezra Levant a platform in National Observer. The paper author, Manoel Ribeiro, was quoted saying "Other researchers, NGOs, and the media have indicated or hypothesized that this radicalization process [has] occurred". The paper also got the most social media traction with 5006 shares. The authors conduct a large scale audit of user radicalization on YouTube. On Twitter, @DrengrV commented "Megan, imagine for a moment how scary it will be once the platforms that we use are created/controlled/hosted/owned by Us. What are you going to do then? You'll have no sway. No control over the pipeline. No data on the radicalization. It'll be completely out of your control.🐺❤".
This week was active for "Computer Science - Human-Computer Interaction", with 26 new papers.
The paper discussed most in the news over the past week was "EmoSense: Computational Intelligence Driven Emotion Sensing via Wireless Channel Data" by Yu Gu et al (Aug 2019), which was referenced 2 times, including in the article EmoSense: an AI-powered and wireless emotion sensing system in Tech Xplore. The paper author, Yantong Wang (Researchers), was quoted saying "As psychology knowledge is also very important for understanding human emotion, it might be more reasonable to couple both data and psychology knowledge in order to attain more reliable and accurate emotion recognition". The paper got social media traction with 5 shares. The investigators introduce EmoSense, a first - of - its - kind wireless emotion sensing system driven by computational intelligence.
This week was very active for "Computer Science - Learning", with 339 new papers.
The paper discussed most in the news over the past week was by a team at Google: "Personalizing ASR for Dysarthric and Accented Speech with Limited Data" by Joel Shor et al (Jul 2019), which was referenced 16 times, including in the article Google at Interspeech 2019 in CHROME RELEASES. The paper got social media traction with 28 shares. The investigators present and evaluate finetuning techniques to improve ASR for users with non - standard speech. On Twitter, @DataScienceNIG posted "Speak better with Artificial Intelligence - ASR from & for slurred speech & those with accents - a speech2text transcription for people with speaking impairments &71% of the improvement comes from only 5 mins of training data. Read at".
Leading researcher Oriol Vinyals (DeepMind) published "Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML".
The paper shared the most on social media this week is "Making the Invisible Visible: Action Recognition Through Walls and Occlusions" by Tianhong Li et al (Sep 2019)
Over the past week, 19 new papers were published in "Computer Science - Multiagent Systems".
The paper shared the most on social media this week is by a team at The Hebrew University of Jerusalem: "Hijacking Routes in Payment Channel Networks: A Predictability Tradeoff" by Saar Tochner et al (Sep 2019) with 115 shares. @steveinpursuit (Steve Patterson) tweeted "Another new problem with the Lightning Network. BTC is simply a failed project, ruined by devs who treated it as a science project. There's no reason to replace proven, reliable tech (on-chain tx's) with speculative, insecure tech. Big-block Bitcoin is the answer".
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 by a team at Google: "Temporal coding in spiking neural networks with alpha synaptic function" by Iulia M. Comsa et al (Jul 2019), which was referenced 1 time, including in the article Project Ihmehimmeli: Temporal Coding in Spiking Neural Networks in CHROME RELEASES. The paper got social media traction with 15 shares.
This week was very active for "Computer Science - Robotics", with 92 new papers.
The paper discussed most in the news over the past week was "Nailed It: Autonomous Roofing with a Nailgun-Equipped Octocopter" by Matthew Romano et al (Sep 2019), which was referenced 12 times, including in the article Drone equipped with nail gun can fix the roof so you don't have to in New Scientist. The paper author, Ella Atkins (University of Michigan), was quoted saying "For me, the biggest excitement of this work is in recognizing that autonomous, useful, physical interaction and construction tasks are possible with drones". The paper was shared 1 time in social media. The authors present the first demonstration of autonomous roofing with a multicopter.