Week Ending 5.30.2021
RESEARCH WATCH: 5.30.2021
This week was active for "Computer Science", with 1,179 new papers.
The paper discussed most in the news over the past week was "Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency" by Kyra Yee et al (May 2021), which was referenced 81 times, including in the article To Catch a Thief | The Juice in Medium.com.
Leading researcher Kyunghyun Cho (New York University) came out with "True Few-Shot Learning with Language Models".
This week was very active for "Computer Science - Artificial Intelligence", with 180 new papers.
The paper discussed most in the news over the past week was by a team at Columbia University: "Smile Like You Mean It: Driving Animatronic Robotic Face with Learned Models" by Boyuan Chen et al (May 2021), which was referenced 16 times, including in the article The robot smiled back in Science Daily. The paper author, Hod Lipson (Columbia University), was quoted saying "The idea for EVA took shape a few years ago, when my students and I began to notice that the robots in our lab were staring back at us through plastic, googly eyes".
Leading researcher Devi Parikh (Georgia Institute of Technology) came out with "VISITRON: Visual Semantics-Aligned Interactively Trained Object-Navigator".
This week was active for "Computer Science - Computer Vision and Pattern Recognition", with 252 new papers.
The paper discussed most in the news over the past week was "Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency" by Kyra Yee et al (May 2021)
Leading researcher Devi Parikh (Georgia Institute of Technology) published "VISITRON: Visual Semantics-Aligned Interactively Trained Object-Navigator".
Over the past week, 28 new papers were published in "Computer Science - Computers and Society".
The paper discussed most in the news over the past week was "Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency" by Kyra Yee et al (May 2021)
This week was very active for "Computer Science - Human-Computer Interaction", with 36 new papers.
The paper discussed most in the news over the past week was "Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency" by Kyra Yee et al (May 2021)
Leading researcher Trevor Darrell (UC Berkeley) published "PyTouch: A Machine Learning Library for Touch Processing".
This week was very active for "Computer Science - Learning", with 397 new papers.
The paper discussed most in the news over the past week was "Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency" by Kyra Yee et al (May 2021)
Leading researcher Kyunghyun Cho (New York University) came out with "True Few-Shot Learning with Language Models".
Over the past week, 13 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 DeepMind: "From Motor Control to Team Play in Simulated Humanoid Football" by Siqi Liu et al (May 2021), which was referenced 1 time, including in the article Video Friday: Digger Finger in Spectrum Online.
Over the past week, 29 new papers were published in "Computer Science - Neural and Evolutionary Computing".
The paper discussed most in the news over the past week was "AngularGrad: A New Optimization Technique for Angular Convergence of Convolutional Neural Networks" by S. K. Roy et al (May 2021), which was referenced 2 times, including in the article New IEEE Research Equips Gradient Descent with Angular Information to Boost DNN Training in SyncedReview.com.
This week was very active for "Computer Science - Robotics", with 89 new papers.
The paper discussed most in the news over the past week was "Blind Bipedal Stair Traversal via Sim-to-Real Reinforcement Learning" by Jonah Siekmann et al (May 2021), which was referenced 28 times, including in the article Watch as stair-climbing robot expertly traverses stairs in GlobalSpec. The paper author, Kevin Green, was quoted saying "When you train neural networks to act as controllers, over time the learning algorithm refines the network so that it maximizes the reward specific to the environment that it sees".
Leading researcher Devi Parikh (Georgia Institute of Technology) came out with "VISITRON: Visual Semantics-Aligned Interactively Trained Object-Navigator".