arXiv Statistics @arxiv_stats@qoto.org

DeepJSCC-f: Deep Joint-Source Channel Coding of Images with Feedback. (arXiv:1911.11174v1 [cs.IT]) http://arxiv.org/abs/1911.11174

Structured Multi-Hashing for Model Compression. (arXiv:1911.11177v1 [cs.LG]) http://arxiv.org/abs/1911.11177

Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning. (arXiv:1911.11185v1 [cs.LG]) http://arxiv.org/abs/1911.11185

Some More Results on Characterization of the Exponential Distribution. (arXiv:1911.11193v1 [math.ST]) http://arxiv.org/abs/1911.11193

A Novel Unsupervised Post-Processing Calibration Method for DNNS with Robustness to Domain Shift. (arXiv:1911.11195v1 [cs.LG]) http://arxiv.org/abs/1911.11195

Asymptotic properties of the maximum likelihood and cross validation estimators for transformed Gaussian processes. (arXiv:1911.11199v1 [math.ST]) http://arxiv.org/abs/1911.11199

Drift Estimation for a L\'evy-Driven Ornstein-Uhlenbeck Process with Heavy Tails. (arXiv:1911.11202v1 [math.ST]) http://arxiv.org/abs/1911.11202

One Man's Trash is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples. (arXiv:1911.11219v1 [cs.LG]) http://arxiv.org/abs/1911.11219

Modeling Variables with a Detection Limit using a Truncated Normal Distribution with Censoring. (arXiv:1911.11221v1 [stat.AP]) http://arxiv.org/abs/1911.11221

A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multi-Output Gaussian Process Model. (arXiv:1911.10225v1 [stat.ML]) http://arxiv.org/abs/1911.10225

SWAG: Item Recommendations using Convolutions on Weighted Graphs. (arXiv:1911.10232v1 [cs.IR]) http://arxiv.org/abs/1911.10232

Searching for new physics with profile likelihoods: Wilks and beyond. (arXiv:1911.10237v1 [physics.data-an]) http://arxiv.org/abs/1911.10237

Approaching Small Molecule Prioritization as a Cross-Modal Information Retrieval Task through Coordinated Representation Learning. (arXiv:1911.10241v1 [q-bio.QM]) http://arxiv.org/abs/1911.10241

DeepSynth: Program Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning. (arXiv:1911.10244v1 [cs.LG]) http://arxiv.org/abs/1911.10244

Non-parametric targeted Bayesian estimation of class proportions in unlabeled data. (arXiv:1911.10246v1 [stat.ME]) http://arxiv.org/abs/1911.10246

3rd-order Spectral Representation Method: Part II -- Ergodic Multi-variate random processes with fast Fourier transform. (arXiv:1911.10251v1 [math.ST]) http://arxiv.org/abs/1911.10251

Bounding Singular Values of Convolution Layers. (arXiv:1911.10258v1 [cs.LG]) http://arxiv.org/abs/1911.10258

Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values. (arXiv:1911.10273v1 [cs.LG]) http://arxiv.org/abs/1911.10273

Training Modern Deep Neural Networks for Memory-Fault Robustness. (arXiv:1911.10287v1 [cs.LG]) http://arxiv.org/abs/1911.10287

On comparison of estimators for proportional error nonlinear regression models in the limit of small measurement error. (arXiv:1911.09680v1 [math.ST]) http://arxiv.org/abs/1911.09680