Emerging Properties in Self-Supervised Vision Transformers
In this paper, we question if self-supervised learning provides new properties to Vision Transformer (ViT) that stand out compared to convolutional networks (convnets). Beyond t...
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The Delphi Technique: Making Sense of Consensus
The Delphi technique is a widely used and accepted method for gathering data from respondents within their domain of expertise. The technique is designed as a group communicatio...
The Psychology of Human-Computer Interaction
Contents: Preface. An Applied Information-Processing Psychology. Part I: Science Base. The Human Information-Processor. Part II: Text-Editing. System and User Variability. An Ex...
RAxML-NG: a fast, scalable and user-friendly tool for maximum likelihood phylogenetic inference
Abstract Motivation Phylogenies are important for fundamental biological research, but also have numerous applications in biotechnology, agriculture and medicine. Finding the op...
Identification of Causal Effects Using Instrumental Variables
Abstract We outline a framework for causal inference in settings where assignment to a binary treatment is ignorable, but compliance with the assignment is not perfect so that t...
VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator
One camera and one low-cost inertial measurement unit (IMU) form a monocular visual-inertial system (VINS), which is the minimum sensor suite (in size, weight, and power) for th...
Update on prevention, diagnosis, and treatment of chronic hepatitis B
Potential conflict of interest: Dr. Hwang received grants from Merck and Gilead. Dr. Chang advises Arbutus. Dr. Lok received grants from Gilead and Bristol‐Myers Squibb. Dr. Jon...
Learning Deconvolution Network for Semantic Segmentation
We propose a novel semantic segmentation algorithm by learning a deep deconvolution network. We learn the network on top of the convolutional layers adopted from VGG 16-layer ne...
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation
Regression analysis makes up a large part of supervised machine learning, and consists of the prediction of a continuous independent target from a set of other predictor variabl...
The diagnosis and management of non-alcoholic fatty liver disease: Practice Guideline by the American Association for the Study of Liver Diseases, American College of Gastroenterology, and the American Gastroenterological Association
These recommendations are based on the following: (1) a formal review and analysis of the recently published world literature on the topic [Medline search up to June 2011]; (2) ...
The State of Food Security and Nutrition in the World 2020
Five years into the 2030 Agenda, it is time to assess progress and to question whether continuing efforts implemented thus far will allow countries to reach SDG 2 targets. For t...