On #scienceTwitter, my favourite thing were reading and, on rare occasions, writing "paper/preprint threads". From the researchers I followed and through the #Twitter algorithm, this became my most important source for new #research.
While people start to do the same on #Mastodon, I have the feeling that I miss important work bc no algorithm "saves" it for me if I don't watch my timeline constantly.
Two simple solutions would be: a commonly accepted hashtag that everybody uses when writing "paper threads" or a [...] @ a.gup.pe group with a similar adaptation rate.
#Question 1: is there already a mechanism for this that I missed?
#Question 2: What hashtag or group name?
I saw #TootPrint before. Maybe #PaperInAToot? #PaperInAPost? #PaperInAThread? #PaperPost? #MastoPrint?
Suggestions and boosts, please, we need reach for this! 🤓​
#TwitterMigration #Science #Scientist @phdstudents @academicchatter @neuroscience @cognition
#sciencetwitter #twitter #research #mastodon #question #tootprint #paperinatoot #paperinapost #paperinathread #paperpost #mastoprint #twittermigration #science #scientist
'Multiple Testing in Nonparametric Hidden Markov Models: An Empirical Bayes Approach', by Kweku Abraham, Ismaël Castillo, Elisabeth Gassiat.
http://jmlr.org/papers/v23/21-0054.html
#NewPaper #PaperPost
Modeling Bounded Rationality in Multi-Agent Simulations Using Rationally Inattentive Reinforcemen...
Tong Mu, Stephan Zheng, Alexander R Trott
'Regularized K-means Through Hard-Thresholding', by Jakob Raymaekers, Ruben H. Zamar.
http://jmlr.org/papers/v23/21-0052.html
#NewPaper #PaperPost
Calibrated Selective Classification
Adam Fisch, Tommi S. Jaakkola, Regina Barzilay
'Gauss-Legendre Features for Gaussian Process Regression', by Paz Fink Shustin, Haim Avron.
http://jmlr.org/papers/v23/21-0030.html
#NewPaper #PaperPost
'When Hardness of Approximation Meets Hardness of Learning', by Eran Malach, Shai Shalev-Shwartz.
Unsupervised Mismatch Localization in Cross-Modal Sequential Data with Application to Mispronunci...
Wei Wei, Hengguan Huang, Xiangming Gu, Hao Wang, Ye Wang
'Accelerating Adaptive Cubic Regularization of Newton's Method via Random Sampling', by Xi Chen, Bo Jiang, Tianyi Lin, Shuzhong Zhang.
'Machine Learning on Graphs: A Model and Comprehensive Taxonomy', by Ines Chami, Sami Abu-El-Haija, Bryan Perozzi, Christopher Ré, Kevin Murphy.
'Generalized Ambiguity Decomposition for Ranking Ensemble Learning', by Hongzhi Liu, Yingpeng Du, Zhonghai Wu.
'CD-split and HPD-split: Efficient Conformal Regions in High Dimensions', by Rafael Izbicki, Gilson Shimizu, Rafael B. Stern.
'Robust and scalable manifold learning via landmark diffusion for long-term medical signal processing', by Chao Shen, Yu-Ting Lin, Hau-Tieng Wu.
GIT: A Generative Image-to-text Transformer for Vision and Language
Jianfeng Wang, Zhengyuan Yang, Xiaowei Hu et al.
'A Distribution Free Conditional Independence Test with Applications to Causal Discovery', by Zhanrui Cai, Runze Li, Yaowu Zhang.
Fast and Accurate Spreading Process Temporal Scale Estimation
Abram Magner, Carolyn S Kaminski, Petko Bogdanov
Concave Utility Reinforcement Learning with Zero-Constraint Violations
Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal
'Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior', by Rajarshi Guhaniyogi, Cheng Li, Terrance D. Savitsky, Sanvesh Srivastava.
'Prior Adaptive Semi-supervised Learning with Application to EHR Phenotyping', by Yichi Zhang, Molei Liu, Matey Neykov, Tianxi Cai.
Extracting Local Reasoning Chains of Deep Neural Networks
Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang