arXiv Statistics @arxiv_stats@qoto.org

Investigating similarities and differences between South African and Sierra Leonean school outcomes using Machine Learning. (arXiv:2004.11369v1 [cs.CY]) http://arxiv.org/abs/2004.11369

Live Trojan Attacks on Deep Neural Networks. (arXiv:2004.11370v1 [cs.CR]) http://arxiv.org/abs/2004.11370

Learning to Forecast and Forecasting to Learn from the COVID-19 Pandemic. (arXiv:2004.11372v1 [q-bio.PE]) http://arxiv.org/abs/2004.11372

Point Location and Active Learning: Learning Halfspaces Almost Optimally. (arXiv:2004.11380v1 [cs.CG]) http://arxiv.org/abs/2004.11380

Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming. (arXiv:2004.11408v1 [stat.CO]) http://arxiv.org/abs/2004.11408

Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning. (arXiv:2004.11410v1 [cs.LG]) http://arxiv.org/abs/2004.11410

Investigating the Relationship between Freeway Rear-end Crash Rates and Macroscopically Modelled Reaction Time. (arXiv:2004.11422v1 [physics.soc-ph]) http://arxiv.org/abs/2004.11422

Efficient Neural Architecture for Text-to-Image Synthesis. (arXiv:2004.11437v1 [cs.LG]) http://arxiv.org/abs/2004.11437

Development of a Machine Learning Model and Mobile Application to Aid in Predicting Dosage of Vitamin K Antagonists Among Indian Patients. (arXiv:2004.11460v1 [q-bio.QM]) http://arxiv.org/abs/2004.11460

Fast Quantum Algorithm for Learning with Optimized Random Features. (arXiv:2004.10756v1 [quant-ph]) http://arxiv.org/abs/2004.10756

Bayesian nonparametric modeling for predicting dynamic dependencies in multiple object tracking. (arXiv:2004.10798v1 [cs.LG]) http://arxiv.org/abs/2004.10798

A Neural Scaling Law from the Dimension of the Data Manifold. (arXiv:2004.10802v1 [cs.LG]) http://arxiv.org/abs/2004.10802

Power Calculations for Replication Studies. (arXiv:2004.10814v1 [stat.ME]) http://arxiv.org/abs/2004.10814

Permutation inference in factorial survival designs with the CASANOVA. (arXiv:2004.10818v1 [stat.ME]) http://arxiv.org/abs/2004.10818

Utterance-level Sequential Modeling For Deep Gaussian Process Based Speech Synthesis Using Simple Recurrent Unit. (arXiv:2004.10823v1 [eess.AS]) http://arxiv.org/abs/2004.10823

Assessing the Reliability of Visual Explanations of Deep Models with Adversarial Perturbations. (arXiv:2004.10824v1 [cs.LG]) http://arxiv.org/abs/2004.10824

TensorOpt: Exploring the Tradeoffs in Distributed DNN Training with Auto-Parallelism. (arXiv:2004.10856v1 [cs.DC]) http://arxiv.org/abs/2004.10856

Adversarial examples and where to find them. (arXiv:2004.10882v1 [cs.LG]) http://arxiv.org/abs/2004.10882

Per-Step Reward: A New Perspective for Risk-Averse Reinforcement Learning. (arXiv:2004.10888v1 [cs.LG]) http://arxiv.org/abs/2004.10888

Imbalanced Sparse Canonical Correlation Analysis. (arXiv:2004.10231v1 [stat.ME]) http://arxiv.org/abs/2004.10231