- From Artificial Neural Networks to Deep Learning for Music Generation -- History, Concepts and Trends. (arXiv:2004.03586v1 [eess.AS])
- Probabilistic Spatial Transformers for Bayesian Data Augmentation. (arXiv:2004.03637v1 [cs.LG])
- Orthant Based Proximal Stochastic Gradient Method for $\ell_1$-Regularized Optimization. (arXiv:2004.03639v1 [math.OC])
- FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning. (arXiv:2004.03657v1 [cs.LG])
- Guessing What's Plausible But Remembering What's True: Accurate Neural Reasoning for Question-Answering. (arXiv:2004.03658v1 [cs.LG])
- pAElla: Edge-AI based Real-Time Malware Detection in Data Centers. (arXiv:2004.03670v1 [cs.LG])
- A unified approach for inference on algorithm-agnostic variable importance. (arXiv:2004.03683v1 [stat.ME])
- Deep Learning Based Text Classification: A Comprehensive Review. (arXiv:2004.03705v1 [cs.CL])
- Heart Sound Segmentation using Bidirectional LSTMs with Attention. (arXiv:2004.03712v1 [eess.SP])
- Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning. (arXiv:2004.03722v1 [cs.LG])
- Stability of Gibbs Posteriors from the Wasserstein Loss for Bayesian Full Waveform Inversion. (arXiv:2004.03730v1 [math.ST])
- Locality Preserving Loss to Align Vector Spaces. (arXiv:2004.03734v1 [cs.LG])
- Robust Mixture Modeling using Weighted Complete Estimating Equations. (arXiv:2004.03751v1 [stat.ME])
- Doubly Debiased Lasso: High-Dimensional Inference under Hidden Confounding and Measurement Errors. (arXiv:2004.03758v1 [stat.ME])
- Mixture Density Conditional Generative Adversarial Network Models (MD-CGAN). (arXiv:2004.03797v1 [cs.LG])
- Graph Matching with Partially-Correct Seeds. (arXiv:2004.03816v1 [cs.DS])
- Robust spectral clustering using LASSO regularization. (arXiv:2004.03845v1 [stat.ML])
- Shape-Constrained Regression using Sum of Squares Polynomials. (arXiv:2004.03853v1 [math.OC])
- Sequential Design of Mixture Experiments with an Empirically Determined Input Domain and an Application to Burn-up Credit Penalization of Nuclear Fuel Rods. (arXiv:2004.03854v1 [stat.ME])
- Comparison of the shape and temporal evolution of even and odd solar cycles. (arXiv:2004.03855v1 [astro-ph.SR])
- Fully reconciled GDP forecasts from Income and Expenditure sides. (arXiv:2004.03864v1 [stat.ME])
- Normalizing Flows with Multi-Scale Autoregressive Priors. (arXiv:2004.03891v1 [cs.LG])
- Training Neural Networks to Produce Compatible Features. (arXiv:2004.03898v1 [cs.LG])
- Nonlinear Dimensionality Reduction for Data Visualization: An Unsupervised Fuzzy Rule-based Approach. (arXiv:2004.03922v1 [cs.LG])
- On non-linear dependence of multivariate subordinated L\'evy processes. (arXiv:2004.03933v1 [math.ST])
- Global Expanding, Local Shrinking: Discriminant Multi-label Learning with Missing Labels. (arXiv:2004.03951v1 [cs.LG])
- Bootstrap Prediction Bands for Functional Time Series. (arXiv:2004.03971v1 [math.ST])
- The general theory of permutation equivarant neural networks and higher order graph variational encoders. (arXiv:2004.03990v1 [cs.LG])
- Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information. (arXiv:2004.03991v1 [cs.LG])
- A Graph Convolutional Network Composition Framework for Semi-supervised Classification. (arXiv:2004.03994v1 [cs.LG])
- Signature features with the visibility transformation. (arXiv:2004.04006v1 [cs.LG])
- A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models. (arXiv:2004.04019v1 [stat.OT])
- Neural Networks Model for Travel Time Prediction Based on ODTravel Time Matrix. (arXiv:2004.04030v1 [cs.LG])
- Stochastic Resource Allocation for Electricity Distribution Network Resilience. (arXiv:2004.04041v1 [eess.SY])
- Semi-supervised acoustic and language model training for English-isiZulu code-switched speech recognition. (arXiv:2004.04054v1 [eess.AS])
- Predicting Respiratory Anomalies and Diseases Using Deep Learning Models. (arXiv:2004.04072v1 [eess.AS])
- Continual Learning with Gated Incremental Memories for sequential data processing. (arXiv:2004.04077v1 [cs.LG])
- Extreme expectile estimation for heavy-tailed time series. (arXiv:2004.04078v1 [stat.ME])
- Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space. (arXiv:2004.04092v1 [cs.CL])
- Time accelerated image super-resolution using shallow residual feature representative network. (arXiv:2004.04093v1 [eess.IV])
- Deep Normalization for Speaker Vectors. (arXiv:2004.04095v1 [eess.AS])
- Probabilistic embeddings for speaker diarization. (arXiv:2004.04096v1 [eess.AS])
- WaveCRN: An Efficient Convolutional Recurrent Neural Network for End-to-end Speech Enhancement. (arXiv:2004.04098v1 [eess.AS])
- Resource Management for Blockchain-enabled Federated Learning: A Deep Reinforcement Learning Approach. (arXiv:2004.04104v1 [cs.LG])
- DeepStreamCE: A Streaming Approach to Concept Evolution Detection in Deep Neural Networks. (arXiv:2004.04116v1 [cs.LG])
- Solving the scalarization issues of Advantage-based Reinforcement Learning Algorithms. (arXiv:2004.04120v1 [cs.LG])
- CURL: Contrastive Unsupervised Representations for Reinforcement Learning. (arXiv:2004.04136v1 [cs.LG])
- Empirical Perspectives on One-Shot Semi-supervised Learning. (arXiv:2004.04141v1 [cs.LG])
- Directed Graphical Models and Causal Discovery for Zero-Inflated Data. (arXiv:2004.04150v1 [stat.ME])
- Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks. (arXiv:1805.06431v4 [cs.LG] UPDATED)
- Global consensus Monte Carlo. (arXiv:1807.09288v3 [stat.CO] UPDATED)
- New models for symbolic data analysis. (arXiv:1809.03659v2 [stat.CO] UPDATED)
- The Best Defense Is a Good Offense: Adversarial Attacks to Avoid Modulation Detection. (arXiv:1902.10674v2 [cs.LG] UPDATED)
- Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples. (arXiv:1903.03096v4 [cs.LG] UPDATED)
- On Multi-Armed Bandit Designs for Dose-Finding Clinical Trials. (arXiv:1903.07082v2 [stat.ML] UPDATED)
- On Deep Set Learning and the Choice of Aggregations. (arXiv:1903.07348v2 [stat.ML] UPDATED)
- Statistical Molecule Counting in Super-Resolution Fluorescence Microscopy: Towards Quantitative Nanoscopy. (arXiv:1903.11577v3 [stat.AP] UPDATED)
- Reinforcement Learning in Non-Stationary Environments. (arXiv:1905.03970v3 [cs.LG] UPDATED)
- Merging versus Ensembling in Multi-Study Machine Learning: Theoretical Insight from Random Effects. (arXiv:1905.07382v2 [stat.ML] UPDATED)
- Generalization bounds for deep convolutional neural networks. (arXiv:1905.12600v6 [cs.LG] UPDATED)
- Bayesian inferences on uncertain ranks and orderings: Application to ranking players and lineups. (arXiv:1907.04842v2 [stat.ME] UPDATED)
- Personal VAD: Speaker-Conditioned Voice Activity Detection. (arXiv:1908.04284v4 [eess.AS] UPDATED)
- A P\'olya-Gamma Sampler for a Generalized Logistic Regression. (arXiv:1909.02989v2 [stat.ME] UPDATED)
- Encoding Visual Attributes in Capsules for Explainable Medical Diagnoses. (arXiv:1909.05926v3 [eess.IV] UPDATED)
- Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture. (arXiv:1909.09902v3 [cs.LG] UPDATED)
- Universal Self-Attention Network for Graph Classification. (arXiv:1909.11855v5 [cs.LG] UPDATED)
- Learning Deep Conditional Target Densities for Accurate Regression. (arXiv:1909.12297v3 [cs.LG] UPDATED)
- Identifying Sparse Low-Dimensional Structures in Markov Chains: A Nonnegative Matrix Factorization Approach. (arXiv:1909.12898v2 [cs.LG] UPDATED)
- The Statistical Performance of Matching-Adjusted Indirect Comparisons. (arXiv:1910.06449v2 [stat.AP] UPDATED)
- Identifying Network Ties from Panel Data: Theory and an Application to Tax Competition. (arXiv:1910.07452v2 [econ.EM] UPDATED)
- Towards Stabilizing Batch Statistics in Backward Propagation of Batch Normalization. (arXiv:2001.06838v2 [cs.CV] UPDATED)
- GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation. (arXiv:2001.08184v2 [cs.LG] UPDATED)
- HAMLET -- A Learning Curve-Enabled Multi-Armed Bandit for Algorithm Selection. (arXiv:2001.11261v2 [cs.LG] UPDATED)
- An initial investigation on optimizing tandem speaker verification and countermeasure systems using reinforcement learning. (arXiv:2002.03801v2 [eess.AS] UPDATED)
- A Time-dependent SIR model for COVID-19 with Undetectable Infected Persons. (arXiv:2003.00122v3 [q-bio.PE] UPDATED)
- A Poisson Kalman filter for disease surveillance. (arXiv:2003.11194v3 [stat.ME] UPDATED)
- Sample Efficient Ensemble Learning with Catalyst.RL. (arXiv:2003.14210v2 [cs.LG] UPDATED)
- Imbalanced Data Learning by Minority Class Augmentation using Capsule Adversarial Networks. (arXiv:2004.02182v3 [cs.LG] UPDATED)
- Asymptotic normality of robust risk minimizers. (arXiv:2004.02328v2 [math.ST] UPDATED)
- TSception: A Deep Learning Framework for Emotion Detection Using EEG. (arXiv:2004.02965v2 [eess.SP] UPDATED)
- Model-Agnostic Characterization of Fairness Trade-offs. (arXiv:2004.03424v2 [cs.LG] UPDATED)
- Routine pattern discovery and anomaly detection in individual travel behavior. (arXiv:2004.03481v1 [cs.SI] CROSS LISTED)