Week Ending 10.13.19
RESEARCH WATCH: 10.13.19
Over the past week, 914 new papers were published in "Computer Science".
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 24 times, including in the article “The Rise Of Contrarians”: Radicalisation Study Finds IDW Audience Migrate To Far-Right in Medium.com. The paper author, Manoel Ribeiro, was quoted saying "Other researchers, NGOs, and the media have indicated or hypothesized that this radicalization process [has] occurred".
Leading researcher Pieter Abbeel (University of California, Berkeley) came out with "Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization", which has 0 shares on Twitter so far.
Over the past week, 75 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 University of California, Santa Barbara: "A Benchmark Dataset for Learning to Intervene in Online Hate Speech" by Jing Qian et al (Sep 2019), which was referenced 7 times, including in the article Synthetic Intelligence Learns to Discuss Again to Bigots in DANILPOSH. The paper got social media traction with 17 shares. On Twitter, @WilliamWangNLP commented "It's time to move from detection to intervention! Happy to share our new benchmark dataset on Learning to Intervene in Online Hate Speech for #EMNLP2019: 22K Reddit and 34K Gab posts with crowdsourced intervention data: #NLProc".
Leading researcher Luc Van Gool (Computer Vision Laboratory) came out with "Semantic Understanding of Foggy Scenes with Purely Synthetic Data".
Over the past week, 184 new papers were published in "Computer Science - Computer Vision and Pattern Recognition".
The paper discussed most in the news over the past week was by a team at Microsoft: "Animating Face using Disentangled Audio Representations" by Gaurav Mittal et al (Oct 2019), which was referenced 7 times, including in the article Microsoft's AI generates high-quality talking heads from audio in Venturebeat.
Leading researcher Pieter Abbeel (University of California, Berkeley)
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)
Over the past week, 22 new papers were published in "Computer Science - Human-Computer Interaction".
This week was very active for "Computer Science - Learning", with 405 new papers.
The paper discussed most in the news over the past week was by a team at Microsoft: "Animating Face using Disentangled Audio Representations" by Gaurav Mittal et al (Oct 2019)
Leading researcher Pieter Abbeel (University of California, Berkeley)
Over the past week, 15 new papers were published in "Computer Science - Multiagent Systems".
The paper discussed most in the news over the past week was by a team at OpenAI: "Emergent Tool Use From Multi-Agent Autocurricula" by Bowen Baker et al (Sep 2019), which was referenced 4 times, including in the article To Err Is (Not Necessarily) Human in CalcalisTech.com. The paper got social media traction with 19 shares. A Twitter user, @crcdng, said "Hide and seek looks like an interesting environment for artificial play research: rats enjoy playing it without food rewards, reinforcement learning algorithms pick up complex tool use"..
Over the past week, 30 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: "SummAE: Zero-Shot Abstractive Text Summarization using Length-Agnostic Auto-Encoders" by Peter J. Liu et al (Oct 2019), which was referenced 1 time, including in the article Google’s SummAE AI generates abstract summaries of paragraphs in Venturebeat.
This week was very active for "Computer Science - Robotics", with 76 new papers.
The paper discussed most in the news over the past week was "A Mobile Manipulation System for One-Shot Teaching of Complex Tasks in Homes" by Max Bajracharya et al (Sep 2019), which was referenced 3 times, including in the article Toyota Research Institute teaches mobile manipulator with VR, simulation in Robot Report.com. The paper author, Jeremy Ma (Senior manager of robotics at TRI), was quoted saying "Teaching robots to perform tasks is a key element of advancing fleet learning for enabling useful robot assistants in homes".
Leading researcher Abhinav Gupta (Carnegie Mellon University) published "Object-centric Forward Modeling for Model Predictive Control".