Week Ending 12.08.19
RESEARCH WATCH: 12.08.19
Over the past week, 92 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 Google: "On the Measure of Intelligence" by François Chollet (Nov 2019), which was referenced 7 times, including in the article Towards a Quantitative Measure of Intelligence: Breaking Down One of the Most Important AI Papers of 2019, Part I in Towards Data Science. The paper author, François Chollet (Google), was quoted saying "A lot of well-funded, large-scale gradient-descent projects get carried out as a way to generate bombastic press articles that misleadingly suggest that human-level AI is perhaps a few years away".
Leading researcher Yoshua Bengio (Université de Montréal) published "Automated curriculum generation for Policy Gradients from Demonstrations".
This week was active for "Computer Science - Computer Vision and Pattern Recognition", with 230 new papers.
The paper discussed most in the news over the past week was "Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research" by Krishna Murthy Jatavallabhula et al (Nov 2019), which was referenced 5 times, including in the article Kaolin: The first comprehensive library for 3-D deep learning research in Tech Xplore. The paper author, Jatavallabhula, was quoted saying "Our plan is to add more deep learning models to our model zoo (collection of AI models) and expand our coverage to a broader set of applications like self-driving cars and embodied agents needing 3-D learning".
Leading researcher Yoshua Bengio (Université de Montréal) published "Applying Knowledge Transfer for Water Body Segmentation in Peru".
Over the past week, 16 new papers were published in "Computer Science - Computers and Society".
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 390 new papers.
The paper discussed most in the news over the past week was by a team at University of Delaware: "Relative contributions of Shakespeare and Fletcher in Henry VIII: An Analysis Based on Most Frequent Words and Most Frequent Rhythmic Patterns" by Petr Plecháč (Oct 2019), which was referenced 40 times, including in the article Artificial Intelligence Speculates on Whether Shakespeare Had Help with Henry VIII in Commercial Integrator.
Leading researcher Yoshua Bengio (Université de Montréal) came out with "The effect of task and training on intermediate representations in convolutional neural networks revealed with modified RV similarity analysis".
Over the past week, 12 new papers were published in "Computer Science - Multiagent Systems".
The paper discussed most in the news over the past week was "Multiple Futures Prediction" by Yichuan Charlie Tang et al (Nov 2019), which was referenced 3 times, including in the article Apple attending & presenting at NeurIPS Machine Learning conference in Apple Insider.
Over the past week, 20 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 Salesforce: "Single Headed Attention RNN: Stop Thinking With Your Head" by Stephen Merity (Nov 2019), which was referenced 2 times, including in the article CAH Black Friday AI Challenge; AI-Generated Thanksgiving Dinner Recipes; Go Master Lee Sedol Retires Because AI in SyncedReview.com.
Leading researcher Ilya Sutskever (OpenAI) came out with "Deep Double Descent: Where Bigger Models and More Data Hurt".
This week was active for "Computer Science - Robotics", with 53 new papers.
The paper discussed most in the news over the past week was "Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research" by Krishna Murthy Jatavallabhula et al (Nov 2019)
Leading researcher Pieter Abbeel (University of California, Berkeley) published "Learning Efficient Representation for Intrinsic Motivation".