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Artificial Intelligence applied to chest X-Ray images for the automatic detection of COVID-19. A thoughtful evaluation approach
JulianD.Arias-Londoño, JorgeA.Gomez-Garcia, LaureanoMoro-Velazquez....
Published date-11/29/2020
COVID-19Diagnosis
Current standard protocols used in the clinic for diagnosing COVID-19 include molecular or antigen tests, generally complemented by a plain chest X-Ray. The combined analysis aims to reduce the significant …
Improving Neural Network with Uniform Sparse Connectivity
WeijunLuo....
Published date-11/29/2020
Neural network forms the foundation of deep learning and numerous AI applications. Classical neural networks are fully connected, expensive to train and prone to overfitting. Sparse networks tend to have …
Intrinsic Knowledge Evaluation on Chinese Language Models
ZhiruoWang, RenfenHu....
Published date-11/29/2020
Recent NLP tasks have benefited a lot from pre-trained language models (LM) since they are able to encode knowledge of various aspects. However, current LM evaluations focus on downstream performance, …
Latent Template Induction with Gumbel-CRFs
YaoFu, ChuanqiTan, BinBi....
Published date-11/29/2020
Data-to-TextGeneration, ParaphraseGeneration, TextGeneration
Learning to control the structure of sentences is a challenging problem in text generation. Existing work either relies on simple deterministic approaches or RL-based hard structures. We explore the use …
A Targeted Universal Attack on Graph Convolutional Network
JiazhuDai, WeifengZhu, XiangfengLuo....
Published date-11/29/2020
AdversarialAttack
Graph-structured data exist in numerous applications in real life. As a state-of-the-art graph neural network, the graph convolutional network (GCN) plays an important role in processing graph-structured data. However, a …
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification
XiaoxuLi, JijieWu, ZhuoSun....
Published date-11/29/2020
Few-ShotLearning, Fine-GrainedImageClassification, ImageClassification
Few-shot learning for fine-grained image classification has gained recent attention in computer vision. Among the approaches for few-shot learning, due to the simplicity and effectiveness, metric-based methods are favorably state-of-the-art …