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Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence

Smarter applications are making better use of the insights gleaned from ...
02/12/2020 ∙ by Sebastian Raschka, et al. ∙ 147 ∙ share

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Explainable Artificial Intelligence and Machine Learning: A reality rooted perspective

We are used to the availability of big data generated in nearly all fiel...
01/26/2020 ∙ by Frank Emmert-Streib, et al. ∙ 139 ∙ share

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Examining the Benefits of Capsule Neural Networks

Capsule networks are a recently developed class of neural networks that ...
01/29/2020 ∙ by Arjun Punjabi, et al. ∙ 137 ∙ share

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Machine Learning in Thermodynamics: Prediction of Activity Coefficients by Matrix Completion

Activity coefficients, which are a measure of the non-ideality of liquid...
01/29/2020 ∙ by Fabian Jirasek, et al. ∙ 117 ∙ share

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REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild

In recent years, significant attention has been devoted towards integrat...
01/29/2020 ∙ by Rahul Duggal, et al. ∙ 115 ∙ share

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The Case for Bayesian Deep Learning

The key distinguishing property of a Bayesian approach is marginalizatio...
01/29/2020 ∙ by Andrew Gordon Wilson, et al. ∙ 111 ∙ share

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Stable Prediction with Model Misspecification and Agnostic Distribution Shift

For many machine learning algorithms, two main assumptions are required ...
01/31/2020 ∙ by Kun Kuang, et al. ∙ 95 ∙ share

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HGAT: Hierarchical Graph Attention Network for Fake News Detection

The explosive growth of fake news has eroded the credibility of medias a...
02/05/2020 ∙ by Yuxiang Ren, et al. ∙ 95 ∙ share

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Learning to adapt class-specific features across domains for semantic segmentation

Recent advances in unsupervised domain adaptation have shown the effecti...
01/22/2020 ∙ by Mikel Menta, et al. ∙ 93 ∙ share

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Bayesian Reasoning with Deep-Learned Knowledge

We access the internalized understanding of trained, deep neural network...
01/29/2020 ∙ by Jakob Knollmüller, et al. ∙ 93 ∙ share

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Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects

Practitioners in diverse fields such as healthcare, economics and educat...
01/21/2020 ∙ by Fredrik D. Johansson, et al. ∙ 89 ∙ share

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