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On the State of Social Media Data for Mental Health Research
KeithHarrigian, CarlosAguirre, MarkDredze....
Published date-11/10/2020
Data-driven methods for mental health treatment and surveillance have become a major focus in computational science research in the last decade. However, progress in the domain, in terms of both …
An improved helmet detection method for YOLOv3 on an unbalanced dataset
RuiGeng, YixuanMa, WanhongHuang....
Published date-11/09/2020
DataAugmentation
The YOLOv3 target detection algorithm is widely used in industry due to its high speed and high accuracy, but it has some limitations, such as the accuracy degradation of unbalanced …
Privacy-Preserving XGBoost Inference
XianruiMeng, JoanFeigenbaum....
Published date-11/09/2020
Although machine learning (ML) is widely used for predictive tasks, there are important scenarios in which ML cannot be used or at least cannot achieve its full potential. A major …
Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning
JuliusBerner, MarkusDablander, PhilippGrohs....
Published date-11/09/2020
We present a deep learning algorithm for the numerical solution of parametric families of high-dimensional linear Kolmogorov partial differential equations (PDEs). Our method is based on reformulating the numerical approximation …
Bangla Text Classification using Transformers
TanvirulAlam, AkibKhan, FirojAlam....
Published date-11/09/2020
SentimentAnalysis, TextClassification
Text classification has been one of the earliest problems in NLP. Over time the scope of application areas has broadened and the difficulty of dealing with new areas (e.g., noisy …
Generating Image Descriptions via Sequential Cross-Modal Alignment Guided by Human Gaze
EceTakmaz, SandroPezzelle, LisaBeinborn....
Published date-11/09/2020
ImageCaptioning
When speakers describe an image, they tend to look at objects before mentioning them. In this paper, we investigate such sequential cross-modal alignment by modelling the image description generation process …