Can Adversarial Weight Perturbations Inject Neural Backdoors?. (arXiv:2008.01761v1 [cs.LG]) http://arxiv.org/abs/2008.01761
Graph Neural Networks: Architectures, Stability and Transferability. (arXiv:2008.01767v1 [cs.LG]) http://arxiv.org/abs/2008.01767
Shallow Univariate ReLu Networks as Splines: Initialization, Loss Surface, Hessian, & Gradient Flow Dynamics. (arXiv:2008.01772v1 [cs.LG]) http://arxiv.org/abs/2008.01772
Community Vibrancy and its Relationship with Safety in Philadelphia. (arXiv:2008.01778v1 [stat.AP]) http://arxiv.org/abs/2008.01778
Plotting the cumulative deviation of a subgroup from the full population as a function of score. (arXiv:2008.01779v1 [stat.ME]) http://arxiv.org/abs/2008.01779
Physics-informed Tensor-train ConvLSTM for Volumetric Velocity Forecasting. (arXiv:2008.01798v1 [cs.LG]) http://arxiv.org/abs/2008.01798
Analytic Characterization of the Hessian in Shallow ReLU Models: A Tale of Symmetry. (arXiv:2008.01805v1 [cs.LG]) http://arxiv.org/abs/2008.01805
Explainable Predictive Process Monitoring. (arXiv:2008.01807v1 [cs.LG]) http://arxiv.org/abs/2008.01807
Graph Neural Networks with Low-rank Learnable Local Filters. (arXiv:2008.01818v1 [stat.ML]) http://arxiv.org/abs/2008.01818
Monotonicity properties of the Poisson approximation to the binomial distribution. (arXiv:2008.01125v1 [math.PR]) http://arxiv.org/abs/2008.01125
On the Bernstein-von Mises theorem for the Dirichlet process. (arXiv:2008.01130v1 [math.ST]) http://arxiv.org/abs/2008.01130
Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic Multi-Objective Approach. (arXiv:2008.01132v1 [cs.LG]) http://arxiv.org/abs/2008.01132
Using Expander Graphs to test whether samples are i.i.d. (arXiv:2008.01153v1 [math.ST]) http://arxiv.org/abs/2008.01153
A Spectral Energy Distance for Parallel Speech Synthesis. (arXiv:2008.01160v1 [eess.AS]) http://arxiv.org/abs/2008.01160
Deep Learning Models for Early Detection and Prediction of the spread of Novel Coronavirus (COVID-19). (arXiv:2008.01170v1 [cs.LG]) http://arxiv.org/abs/2008.01170
Deep Reinforcement Learning using Cyclical Learning Rates. (arXiv:2008.01171v1 [cs.LG]) http://arxiv.org/abs/2008.01171
Identifying meaningful clusters in malware data. (arXiv:2008.01175v1 [cs.CR]) http://arxiv.org/abs/2008.01175
COVID-19 mild cases determination from correlating COVID-line calls to reported cases. (arXiv:2008.01176v1 [q-bio.PE]) http://arxiv.org/abs/2008.01176
Musical Word Embedding: Bridging the Gap between Listening Contexts and Music. (arXiv:2008.01190v1 [cs.IR]) http://arxiv.org/abs/2008.01190
Rethinking Defaults Values: a Low Cost and Efficient Strategy to Define Hyperparameters. (arXiv:2008.00025v1 [cs.LG]) http://arxiv.org/abs/2008.00025
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