Week Ending 6.13.2021

RESEARCH WATCH: 6.13.2021

This week was active for "Computer Science", with 1,533 new papers.

The paper discussed most in the news over the past week was by a team at Google: "Rethinking Search: Making Experts out of Dilettantes" by Donald Metzler et al (May 2021), which was referenced 17 times, including in the article Google Hopes AI Can Turn Search Into a Conversation in Wired News. The paper author, Donald Metzler (Google), was quoted saying "Given the significant recent progress developing information retrieval, question answering and pre-trained language modelling capabilities, now is an opportune time to take a step back to try to envision what possibilities the future might hold".
Leading researcher Yoshua Bengio (Université de Montréal) published "Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation".

This week was extremely active for "Computer Science - Artificial Intelligence", with 274 new papers.

The paper discussed most in the news over the past week was by a team at Google: "MLP-Mixer: An all-MLP Architecture for Vision" by Ilya Tolstikhin et al (May 2021), which was referenced 10 times, including in the article MLP-Mixer: An all-MLP Architecture for Vision in Medium.com.
Leading researcher Yoshua Bengio (Université de Montréal) came out with "SpeechBrain: A General-Purpose Speech Toolkit".

This week was very active for "Computer Science - Computer Vision and Pattern Recognition", with 322 new papers.

The paper discussed most in the news over the past week was by a team at Google: "MLP-Mixer: An all-MLP Architecture for Vision" by Ilya Tolstikhin et al (May 2021)
Leading researcher Luc Van Gool (Computer Vision Laboratory) published "Generative Flows with Invertible Attentions".

Over the past week, 29 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 University of Cambridge: "Markpainting: Adversarial Machine Learning meets Inpainting" by David Khachaturov et al (Jun 2021), which was referenced 1 time, including in the article Detecting Deepfake Picture Editing in Schneier on Security.

This week was active for "Computer Science - Human-Computer Interaction", with 33 new papers.

The paper discussed most in the news over the past week was "Design not Lost in Translation: A Case Study of an Intimate-Space Socially Assistive Robot for Emotion Regulation" by Katherine Isbister et al (Apr 2021), which was referenced 2 times, including in the article A social robot that could help children to regulate their emotions in Tech Xplore. The paper author, Katherine Isbister (Researchers), was quoted saying "My research team at University of California Santa Cruz had been working on designing smart fidget devices and understanding use of fidget objects for a while and I met Petr Slovak (a key collaborator on the work in the paper) at a conference workshop". The paper was shared 2 times in social media.

This week was extremely active for "Computer Science - Learning", with 696 new papers.

The paper discussed most in the news over the past week was by a team at Google: "MLP-Mixer: An all-MLP Architecture for Vision" by Ilya Tolstikhin et al (May 2021)
Leading researcher Yoshua Bengio (Université de Montréal) published "Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation".

This week was active for "Computer Science - Multiagent Systems", with 24 new papers.

The paper discussed most in the news over the past week was by a team at DeepMind: "From Motor Control to Team Play in Simulated Humanoid Football" by Siqi Liu et al (May 2021), which was referenced 2 times, including in the article How Deepmind Is Using AI To 'Solve' Soccer in Discover Magazine. The paper author, Siqi Liu (DeepMind), was quoted saying "They develop awareness of others and learn to play as a team, successfully bridging the gap between low-level motor control at a time scale of milliseconds, and coordinated goal-directed behaviour as a team at the timescale of tens of seconds".

Over the past week, 34 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 University of Oxford: "Multi-Horizon Forecasting for Limit Order Books: Novel Deep Learning Approaches and Hardware Acceleration using Intelligent Processing Units" by Zihao Zhang et al (May 2021), which was referenced 3 times, including in the article Oxford-Man: accelerating training of advanced price prediction models with IPUs in Finadium. The paper author, Stefan Zohren (University of Oxford), was quoted saying "In the multi-step forecasting, we effectively have a model which is trained to make a forecast at a smaller horizon".

This week was active for "Computer Science - Robotics", with 57 new papers.