Week Ending 5.16.2021

May 17, 2021 Craig Smith

RESEARCH WATCH: 5.16.2021

This week was active for "Computer Science", with 1,202 new papers.

This week was very active for "Computer Science - Artificial Intelligence", with 178 new papers.

The paper discussed most in the news over the past week was "Enhancing Photorealism Enhancement" by Stephan R. Richter et al (May 2021)
Leading researcher Yann LeCun (New York University) came out with "VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning".

This week was active for "Computer Science - Computer Vision and Pattern Recognition", with 260 new papers.

The paper discussed most in the news over the past week was "Enhancing Photorealism Enhancement" by Stephan R. Richter et al (May 2021)
Leading researcher Yann LeCun (New York University) came out with "VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning".

Over the past week, 27 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 Google: "Carbon Emissions and Large Neural Network Training" by David Patterson et al (Apr 2021), which was referenced 18 times, including in the article Moving Beyond Machine Learning Models in Medium.com. The paper author, David Patterson (University of California, Santa Barbara), was quoted saying "is equivalent to roughly 200,000 to 300,000 whole passenger jet SF↔NY round trips". The paper got social media traction with 610 shares. A Twitter user, @timnitGebru, commented "This is like a never ending nightmare. Its just so unreal. A paper written by ~90% men authors (8 out 9 authors are men), one of whom fired co-authors from 100% underrepresented groups, for writing about environmental racism, sexism and other issues that affect us".

Over the past week, 23 new papers were published in "Computer Science - Human-Computer Interaction".

The paper discussed most in the news over the past week was by a team at University of Southern California: "CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systems" by Kushal Chawla et al (Mar 2021), which was referenced 2 times, including in the article CaSiNo: A collection of campsite-based dialogs to develop automatic negotiation systems in Tech Xplore. The paper author, Kushal Chawla (Adobe), was quoted saying "The participants' negotiation performance is evaluated in three ways: (1) Their final score, which depends on what items they were able to negotiate for, (2) how satisfied they were with their own performance and (3) how much they like their opponents". The paper got social media traction with 8 shares.

This week was very active for "Computer Science - Learning", with 409 new papers.

The paper discussed most in the news over the past week was "Enhancing Photorealism Enhancement" by Stephan R. Richter et al (May 2021)
Leading researcher Yann LeCun (New York University) published "VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning".

This week was active for "Computer Science - Multiagent Systems", with 21 new papers.

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 DeepMind: "Generative Art Using Neural Visual Grammars and Dual Encoders" by Chrisantha Fernando et al (May 2021), which was referenced 1 time, including in the article DeepMind Releases Algorithm To Create Mind-Blowing Paintings Just From Text in Analytics India Magazine. The paper author, Chrisantha Fernando (DeepMind), was quoted saying "Photography from memory is a strange concept but seems to capture concisely much of the aesthetics of GANs. In the same way as GANs, our work can be seen as artistic appropriation because it invents nothing new in terms of mapping from language to image".

This week was active for "Computer Science - Robotics", with 61 new papers.

The paper discussed most in the news over the past week was by a team at Google: "Self-Improving Semantic Perception on a Construction Robot" by Hermann Blum et al (May 2021), which was referenced 2 times, including in the article ETH Zurich Proposes a Robotic System Capable of Self-Improving Its Semantic Perception in SyncedReview.com.