Week Ending 10.24.2021
RESEARCH WATCH: 10.24.2021
This week was active for "Computer Science", with 1,287 new papers.
The paper discussed most in the news over the past week was "Bugs in our Pockets: The Risks of Client-Side Scanning" by Hal Abelson et al (Oct 2021), which was referenced 28 times, including in the article Apple moves on… in Manila Bulletin. The paper author, Troncoso, was quoted saying "The checks and balances that limit the scope of previous surveillance methods in democracies just aren’t there with broad deployment of CSS. As law-abiding citizens, we should be free to use our devices to make our lives easier, without worry of being bugged like a spy movie villain".
Leading researcher Yoshua Bengio (Université de Montréal) came out with "Chunked Autoregressive GAN for Conditional Waveform Synthesis".
This week was very active for "Computer Science - Artificial Intelligence", with 214 new papers.
The paper discussed most in the news over the past week was "Yuan 1.0: Large-Scale Pre-trained Language Model in Zero-Shot and Few-Shot Learning" by Shaohua Wu et al (Oct 2021), which was referenced 26 times, including in the article Inspur AI Research Presents Yuan 1.0 — One of the World’s Largest Language Models with 245.7 Billion Parameters in Business Wire.
Leading researcher Kyunghyun Cho (New York University) came out with "Monotonic Simultaneous Translation with Chunk-wise Reordering and Refinement".
This week was very active for "Computer Science - Computer Vision and Pattern Recognition", with 354 new papers.
The paper discussed most in the news over the past week was "ADOP: Approximate Differentiable One-Pixel Point Rendering" by Darius Rückert et al (Oct 2021), which was referenced 3 times, including in the article AI can turn a collection of 2D images into an explorable 3D world in New Scientist. The paper author, Darius Rückert, was quoted saying "The more images you have, the better the quality".
Leading researcher Sergey Levine (University of California, Berkeley) came out with "MEMO: Test Time Robustness via Adaptation and Augmentation".
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 "Bugs in our Pockets: The Risks of Client-Side Scanning" by Hal Abelson et al (Oct 2021)
This week was active for "Computer Science - Human-Computer Interaction", with 26 new papers.
The paper discussed most in the news over the past week was by a team at DeepMind: "Collaborating with Humans without Human Data" by DJ Strouse et al (Oct 2021), which was referenced 1 time, including in the article DeepMind’s Fictitious Co-Play Trains RL Agents to Collaborate with Novel Humans Without Using Human Data in SyncedReview.com.
This week was extremely active for "Computer Science - Learning", with 505 new papers.
The paper discussed most in the news over the past week was by a team at Salesforce: "Merlion: A Machine Learning Library for Time Series" by Aadyot Bhatnagar et al (Sep 2021), which was referenced 3 times, including in the article Data and Intelligence Digest — 21st Oct in Medium.com.
Leading researcher Yoshua Bengio (Université de Montréal) published "Compositional Attention: Disentangling Search and Retrieval".
Over the past week, ten 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: "Collaborating with Humans without Human Data" by DJ Strouse et al (Oct 2021)
Over the past week, 17 new papers were published in "Computer Science - Neural and Evolutionary Computing".
The paper discussed most in the news over the past week was "Analysis of the first Genetic Engineering Attribution Challenge" by Oliver M. Crook et al (Oct 2021), which was referenced 4 times, including in the article How biological detective work can reveal who engineered a virus in MSN United States. The paper author, Will Bradshaw, was quoted saying "The enzymes that people use to cut up the DNA cut in different patterns and have different error profiles".
This week was very active for "Computer Science - Robotics", with 88 new papers.
The paper discussed most in the news over the past week was "Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning" by Nikita Rudin et al (Sep 2021), which was referenced 2 times, including in the article Nvidia Develops Virtual Obstacle Course to Train 4,000 Robot Dogs to Walk in Minutes in Beebom.