arXiv Statistics @arxiv_stats@qoto.org

Recommendations and User Agency: The Reachability of Collaboratively-Filtered Information. (arXiv:1912.10068v1 [cs.LG]) http://arxiv.org/abs/1912.10068

Destruction of Image Steganography using Generative Adversarial Networks. (arXiv:1912.10070v1 [cs.MM]) http://arxiv.org/abs/1912.10070

Are Transformers universal approximators of sequence-to-sequence functions?. (arXiv:1912.10077v1 [cs.LG]) http://arxiv.org/abs/1912.10077

Dynamic Prediction of ICU Mortality Risk Using Domain Adaptation. (arXiv:1912.10080v1 [cs.LG]) http://arxiv.org/abs/1912.10080

EAST: Encoding-Aware Sparse Training for Deep Memory Compression of ConvNets. (arXiv:1912.10087v1 [cs.LG]) http://arxiv.org/abs/1912.10087

Chart Auto-Encoders for Manifold Structured Data. (arXiv:1912.10094v1 [cs.LG]) http://arxiv.org/abs/1912.10094

Landscape Connectivity and Dropout Stability of SGD Solutions for Over-parameterized Neural Networks. (arXiv:1912.10095v1 [cs.LG]) http://arxiv.org/abs/1912.10095

TentacleNet: A Pseudo-Ensemble Template for Accurate Binary Convolutional Neural Networks. (arXiv:1912.10103v1 [cs.LG]) http://arxiv.org/abs/1912.10103

A Generalizable Method for Automated Quality Control of Functional Neuroimaging Datasets. (arXiv:1912.10127v1 [eess.IV]) http://arxiv.org/abs/1912.10127

Zeroth-order Stochastic Compositional Algorithms for Risk-Aware Learning. (arXiv:1912.09484v1 [math.OC]) http://arxiv.org/abs/1912.09484

Differential impact of acute fine particulate matter exposure on risk of stroke by stroke subtype, age, sex, and race: a case-crossover study. (arXiv:1912.09504v1 [stat.AP]) http://arxiv.org/abs/1912.09504

Statistical Testing on ASR Performance via Blockwise Bootstrap. (arXiv:1912.09508v1 [stat.ML]) http://arxiv.org/abs/1912.09508

Contextual Outlier Detection in Continuous-Time Event Sequences. (arXiv:1912.09522v1 [cs.LG]) http://arxiv.org/abs/1912.09522

Confidence Bands and Hypothesis Test Methods for Recall and Precision Curves at Extremely Small Fractions with Applications to Drug Discovery. (arXiv:1912.09526v1 [stat.AP]) http://arxiv.org/abs/1912.09526

Towards Verifying Robustness of Neural Networks Against Semantic Perturbations. (arXiv:1912.09533v1 [cs.LG]) http://arxiv.org/abs/1912.09533

Data Science through the looking glass and what we found there. (arXiv:1912.09536v1 [cs.LG]) http://arxiv.org/abs/1912.09536

Singular matrix variate Birnbaum-Saunders distribution under elliptical models. (arXiv:1912.09547v1 [math.ST]) http://arxiv.org/abs/1912.09547

Generalizing the log-Moyal distribution and regression models for heavy tailed loss data. (arXiv:1912.09560v1 [stat.AP]) http://arxiv.org/abs/1912.09560

Diagnosis of liver disease using computer-assisted imaging techniques: A Review. (arXiv:1912.09572v1 [eess.IV]) http://arxiv.org/abs/1912.09572

Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection. (arXiv:1912.08808v1 [cs.SI]) http://arxiv.org/abs/1912.08808