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Interpretable and Transferable Models to Understand the Impact of Lockdown Measures on Local Air Quality


Authors:  JohannaEinsiedler, YunCheng, FranzPapst....
Published date-11/19/2020
Tasks:  TransferLearning

Abstract: The COVID-19 related lockdown measures offer a unique opportunity to understand how changes in economic activity and traffic affect ambient air quality and how much pollution reduction potential can the …

KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation


Authors:  Hao-ZheFeng, ZhaoyangYou, MinghaoChen....
Published date-11/19/2020
Tasks:  DomainAdaptation, UnsupervisedDomainAdaptation

Abstract: Conventional unsupervised multi-source domain adaptation (UMDA) methods assume all source domains can be accessed directly. This neglects the privacy-preserving policy, that is, all the data and computations must be kept …

Robustness to Missing Features using Hierarchical Clustering with Split Neural Networks


Authors:  RishabKhincha, UtkarshSarawgi, WazeerZulfikar....
Published date-11/19/2020
Tasks:  Clustering, Imputation

Abstract: The problem of missing data has been persistent for a long time and poses a major obstacle in machine learning and statistical data analysis. Past works in this field have …

Deep Learning with a Single Neuron: Folding a Deep Neural Network in Time using Feedback-Modulated Delay Loops


Authors:  FlorianStelzer, AndréRöhm, RaulVicente....
Published date-11/19/2020

Abstract: Deep neural networks are among the most widely applied machine learning tools showing outstanding performance in a broad range of tasks. We present a method for folding a deep neural …

Scalable Graph Neural Networks for Heterogeneous Graphs


Authors:  LingfanYu, JiajunShen, JinyangLi....
Published date-11/19/2020

Abstract: Graph neural networks (GNNs) are a popular class of parametric model for learning over graph-structured data. Recent work has argued that GNNs primarily use the graph for feature smoothing, and …

An Efficient and Scalable Deep Learning Approach for Road Damage Detection


Authors:  SadraNaddaf-sh, M-MahdiNaddaf-Sh, AmirR.Kashani....
Published date-11/18/2020
Tasks:  DataAugmentation, ImageAugmentation, ObjectDetection, RoadDamageDetection

Abstract: Pavement condition evaluation is essential to time the preventative or rehabilitative actions and control distress propagation. Failing to conduct timely evaluations can lead to severe structural and financial loss of …

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