Repurpose Open Data to Discover Therapeutics for COVID-19 using Deep Learning. (arXiv:2005.10831v1 [q-bio.QM]) http://arxiv.org/abs/2005.10831
Global Multiclass Classification from Heterogeneous Local Models. (arXiv:2005.10848v1 [cs.LG]) http://arxiv.org/abs/2005.10848
Conditionally Deep Hybrid Neural Networks Across Edge and Cloud. (arXiv:2005.10851v1 [cs.LG]) http://arxiv.org/abs/2005.10851
Automatic Detection of Influential Actors in Disinformation Networks. (arXiv:2005.10879v1 [cs.SI]) http://arxiv.org/abs/2005.10879
Revisiting Membership Inference Under Realistic Assumptions. (arXiv:2005.10881v1 [cs.CR]) http://arxiv.org/abs/2005.10881
PatchGuard: Provable Defense against Adversarial Patches Using Masks on Small Receptive Fields. (arXiv:2005.10884v1 [cs.CV]) http://arxiv.org/abs/2005.10884
Combining Cluster Sampling and Link-Tracing Sampling to Estimate Totals and Means of Hidden Populations in Presence of Heterogeneous Probabilities of Links. (arXiv:2005.10892v1 [stat.ME]) http://arxiv.org/abs/2005.10892
Global Optimization of Gaussian processes. (arXiv:2005.10902v1 [math.OC]) http://arxiv.org/abs/2005.10902
CHEER: Rich Model Helps Poor Model via Knowledge Infusion. (arXiv:2005.10918v1 [cs.LG]) http://arxiv.org/abs/2005.10918
Correlated Mixed Membership Modeling of Somatic Mutations. (arXiv:2005.10919v1 [stat.ML]) http://arxiv.org/abs/2005.10919
Model-Based Robust Deep Learning. (arXiv:2005.10247v1 [cs.LG]) http://arxiv.org/abs/2005.10247
An Adversarial Approach for Explaining the Predictions of Deep Neural Networks. (arXiv:2005.10284v1 [cs.LG]) http://arxiv.org/abs/2005.10284
Functional principal component analysis for global sensitivity analysis of model with spatial output. (arXiv:2005.10285v1 [stat.ME]) http://arxiv.org/abs/2005.10285
The semi-hierarchical Dirichlet Process and its application to clustering homogeneous distributions. (arXiv:2005.10287v1 [stat.ME]) http://arxiv.org/abs/2005.10287
Towards Cover Song Detection with Siamese Convolutional Neural Networks. (arXiv:2005.10294v1 [eess.AS]) http://arxiv.org/abs/2005.10294
Consensus Driven Learning. (arXiv:2005.10300v1 [cs.LG]) http://arxiv.org/abs/2005.10300
Dependence on a collection of Poisson random variables. (arXiv:2005.10306v1 [stat.ME]) http://arxiv.org/abs/2005.10306
Adjusting for Partial Compliance in SMARTs: a Bayesian Semiparametric Approach. (arXiv:2005.10307v1 [stat.ME]) http://arxiv.org/abs/2005.10307
Machine Identification of High Impact Research through Text and Image Analysis. (arXiv:2005.10321v1 [cs.IR]) http://arxiv.org/abs/2005.10321
A Bayesian - Deep Learning model for estimating Covid-19 evolution in Spain. (arXiv:2005.10335v1 [stat.AP]) http://arxiv.org/abs/2005.10335
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