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Hands-on Bayesian Neural Networks – a Tutorial for Deep Learning Users

Modern deep learning methods have equipped researchers and engineers wit...
07/14/2020 ∙ by Laurent Valentin Jospin, et al. ∙ 356 ∙ share

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On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice

Machine learning algorithms have been used widely in various application...
07/30/2020 ∙ by Li Yang, et al. ∙ 234 ∙ share

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Bayesian Optimization for Selecting Efficient Machine Learning Models

The performance of many machine learning models depends on their hyper-p...
08/02/2020 ∙ by Lidan Wang, et al. ∙ 219 ∙ share

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A unified machine learning approach to time series forecasting applied to demand at emergency departments

There were 25.6 million attendances at Emergency Departments (EDs) in En...
07/13/2020 ∙ by Michaela A C Vollmer, et al. ∙ 198 ∙ share

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Natural Graph Networks

Conventional neural message passing algorithms are invariant under permu...
07/16/2020 ∙ by Pim de Haan, et al. ∙ 179 ∙ share

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Flower: A Friendly Federated Learning Research Framework

Federated Learning (FL) has emerged as a promising technique for edge de...
07/28/2020 ∙ by Daniel J. Beutel, et al. ∙ 172 ∙ share

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MusPy: A Toolkit for Symbolic Music Generation

In this paper, we present MusPy, an open source Python library for symbo...
08/05/2020 ∙ by Hao-Wen Dong, et al. ∙ 167 ∙ share

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Explaining Deep Neural Networks using Unsupervised Clustering

We propose a novel method to explain trained deep neural networks (DNNs)...
07/15/2020 ∙ by Yu-han Liu, et al. ∙ 144 ∙ share

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Linear Attention Mechanism: An Efficient Attention for Semantic Segmentation

In this paper, to remedy this deficiency, we propose a Linear Attention ...
07/29/2020 ∙ by Rui Li, et al. ∙ 120 ∙ share

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Orpheus: A New Deep Learning Framework for Easy Deployment and Evaluation of Edge Inference

Optimising deep learning inference across edge devices and optimisation ...
07/24/2020 ∙ by Perry Gibson, et al. ∙ 119 ∙ share

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Global Voxel Transformer Networks for Augmented Microscopy

Advances in deep learning have led to remarkable success in augmented mi...
08/05/2020 ∙ by Zhengyang Wang, et al. ∙ 97 ∙ share

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