Week Ending 2.21.2021
RESEARCH WATCH: 2.21.2021
This week was active for "Computer Science", with 1,253 new papers.
The paper discussed most in the news over the past week was by a team at Carnegie Mellon University: "Fringe News Networks: Dynamics of US News Viewership following the 2020 Presidential Election" by Ashiqur R. KhudaBukhsh et al (Jan 2021), which was referenced 41 times, including in the article Best of arXiv.org for AI, Machine Learning, and Deep Learning – January 2021 in InsideBIGDATA. The paper got social media traction with 10 shares. On Twitter, @khudabukhsh observed "New research analyzing the 64 tumultuous days in American history starting from Nov 3, 20 to Jan 5, 21. Joint work with Mark Kamlet , Paper: #USElection2020 #uselectionresults2020 #FoxNews #Newsmax #NLP".
Leading researcher Yoshua Bengio (Université de Montréal) published "DEUP: Direct Epistemic Uncertainty Prediction" @unsorsodicorda tweeted "2 nice papers on uncertainty quantification for NNs, one on epistemic uncertainty and the other on improved conformal prediction (smaller prediction sets) for few-shots learning. by Moksh Jain et al. & by et al".
The paper shared the most on social media this week is by a team at Google: "LambdaNetworks: Modeling Long-Range Interactions Without Attention" by Irwan Bello (Feb 2021) with 318 shares. @LiamFedus (William Fedus) tweeted "The mysterious LambdaNetwork author(!) finally revealed. Lambdas are an efficient alternative to self-attention. The idea in the terms of attention: lambdas are matrices that summarize a context. These matrices apply to query vectors to model data".
The most influential Twitter user discussing papers is Francis Villatoro who shared "SpinQ Gemini: a desktop quantum computer for education and research" by Shi-Yao Hou et al (Jan 2021) and said: "SpinQ Gemini: a desktop quantum computer for education and research “The first generation product with two qubits was launched in January 2020.”".
This week was very active for "Computer Science - Artificial Intelligence", with 216 new papers.
The paper discussed most in the news over the past week was by a team at Google: "Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity" by William Fedus et al (Jan 2021), which was referenced 17 times, including in the article Best of arXiv.org for AI, Machine Learning, and Deep Learning – January 2021 in InsideBIGDATA. The paper author, William Agnew, was quoted saying "Words on the list are many times used in very offensive ways but they can also be appropriate depending on context and your identity." The paper also got the most social media traction with 827 shares. A Twitter user, @LiamFedus, said "Pleased to share new work! We design a sparse language model that scales beyond a trillion parameters. These versions are significantly more sample efficient and obtain up to 4-7x speed-ups over popular models like T5-Base, T5-Large, T5-XXL. Preprint".
Leading researcher Sergey Levine (University of California, Berkeley) published "COMBO: Conservative Offline Model-Based Policy Optimization". This paper was also shared the most on social media with 104 tweets.
Over the past week, 181 new papers were published in "Computer Science - Computer Vision and Pattern Recognition".
The paper discussed most in the news over the past week was "About Face: A Survey of Facial Recognition Evaluation" by Inioluwa Deborah Raji et al (Feb 2021), which was referenced 6 times, including in the article Privacy Tip #272 – To Get Up to Speed on Facial Recognition Technology Read This in LexBlog. The paper author, Inioluwa Deborah Raji, was quoted saying "Facial recognition technologies pose complex ethical and technical challenges. Neglecting to unpack this complexity-to measure it, analyze it and then articulate it to others-is a disservice to those, including ourselves, who are most impacted by its careless deployment." The paper got social media traction with 115 shares. A user, @hodgesmr, tweeted "From & “We survey over 100 face datasets of 145 million images of over 17 million subjects”—They found that researchers, driven by the exploding data requirements of deep learning, gradually abandoned asking for people’s consent".
Leading researcher Samy Bengio (Google) published "Training cascaded networks for speeded decisions using a temporal-difference loss".
The paper shared the most on social media this week is by a team at Google: "LambdaNetworks: Modeling Long-Range Interactions Without Attention" by Irwan Bello (Feb 2021)
The most influential Twitter user discussing papers is Francis Villatoro who shared "SpinQ Gemini: a desktop quantum computer for education and research" by Shi-Yao Hou et al (Jan 2021)
This week was active for "Computer Science - Computers and Society", with 41 new papers.
The paper discussed most in the news over the past week was by a team at Carnegie Mellon University: "Fringe News Networks: Dynamics of US News Viewership following the 2020 Presidential Election" by Ashiqur R. KhudaBukhsh et al (Jan 2021)
The paper shared the most on social media this week is by a team at Microsoft: "Is preprint the future of science? A thirty year journey of online preprint services" by Boya Xie et al (Feb 2021) with 115 shares. The researchers report that the number of preprints has exponentially increased 63 times in 30 years, although it only accounts for 4 % of research articles. @jessbutler284 (Jess Butler) tweeted "Stats on pre-prints (research published openly before being submitted to an old-fashioned journal) 2020 = 250k preprints (6% of research) Preprints = more cites (10 vs 2 at 5 years) Available > a year sooner, and 41% end up in a journal too Xie et al".
The most influential Twitter user discussing papers is Francis Villatoro who shared "SpinQ Gemini: a desktop quantum computer for education and research" by Shi-Yao Hou et al (Jan 2021)
This week was very active for "Computer Science - Human-Computer Interaction", with 38 new papers.
The paper discussed most in the news over the past week was "WallStreetBets: Positions or Ban" by Christian Boylston et al (Jan 2021), which was referenced 1 time, including in the article Lonely, angry and eager to make history: Online mobs are likely to remain a dangerous reality in Washington Post. The paper author, Amy Bruckman (Georgia Institute of Technology), was quoted saying "we chose not to restrict speech, but what we ended up doing was ceding the power to make decisions about speech to corporations". The paper got social media traction with 44 shares. A Twitter user, @vivekhaldar, observed "/wsb as the object of academic study: "... humor plays a vital role in promoting in-group cohesion and in providingplace for traders (and thinly veiled gamblers) to seek support from each other in the form of vulgar, yet good-humored taunting."".
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 Google: "Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity" by William Fedus et al (Jan 2021)
Leading researcher Yoshua Bengio (Université de Montréal) published "DEUP: Direct Epistemic Uncertainty Prediction" @unsorsodicorda tweeted "2 nice papers on uncertainty quantification for NNs, one on epistemic uncertainty and the other on improved conformal prediction (smaller prediction sets)
The paper shared the most on social media this week is by a team at Google: "LambdaNetworks: Modeling Long-Range Interactions Without Attention" by Irwan Bello (Feb 2021)
The most influential Twitter user discussing papers is Francis Villatoro who shared "SpinQ Gemini: a desktop quantum computer for education and research" by Shi-Yao Hou et al (Jan 2021)
This week was active for "Computer Science - Multiagent Systems", with 23 new papers.
Over the past week, 21 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 Google: "Evolving Reinforcement Learning Algorithms" by John D. Co-Reyes et al (Jan 2021), which was referenced 2 times, including in the article Best of arXiv.org for AI, Machine Learning, and Deep Learning – January 2021 in InsideBIGDATA. The paper got social media traction with 81 shares. A Twitter user, @AlifePapers, commented "EVOLVING REINFORCEMENT LEARNING ALGORITHMS "We propose a method for meta-learning reinforcement learning algorithms by searching over the space of computational graphs which compute the loss function for a value-based model-free RL agent to optimize"".
The paper shared the most on social media this week is "Combinatorial optimization and reasoning with graph neural networks" by Quentin Cappart et al (Feb 2021) with 111 shares. @y0b1byte (yobibyte) tweeted "Section 3.3 is 🔥🔥🔥. And the whole paper is amazing. I was that excited when I read the original GN paper which sparkled my interest in GNNs".
The most influential Twitter user discussing papers is Francis Villatoro who shared "SpinQ Gemini: a desktop quantum computer for education and research" by Shi-Yao Hou et al (Jan 2021)
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 Stanford University: "Embodied Intelligence via Learning and Evolution" by Agrim Gupta et al (Feb 2021), which was referenced 1 time, including in the article Stanford University Deep Evolutionary RL Framework Demonstrates Embodied Intelligence via Learning and Evolution in SyncedReview.com. The paper also got the most social media traction with 340 shares. A user, @dkislyuk, tweeted "This seems like a fascinating research direction. Evolution-based "outer loop", optimizer-based "inner loop" (ideally that balance can be learned by the system), with the truly creative human-engineered parts being the genotype design space + task list. Simulated Baldwin effect!".
Leading researcher Sergey Levine (University of California, Berkeley) came out with "COMBO: Conservative Offline Model-Based Policy Optimization". This paper was also shared the most on social media with 104 tweets.