Matrix Normal PCA for Interpretable Dimension Reduction and Graphical Noise Modeling. UDPipe at SIGMORPHON 2019: Contextualized Embeddings, Regularization with Morphological Categories, Corpora Merging. Event detection in Colombian security Twitter news using fine-grained latent topic analysis. Learning the dynamics of technical trading strategies. …

Ordered Memory. PlantDoc: A Dataset for Visual Plant Disease Detection. Depth Completion via Deep Basis Fitting. An Adaptive Empirical Bayesian Method for Sparse Deep Learning. PDP: A General Neural Framework for Learning Constraint Satisfaction Solvers. Privacy Risks of Securing Machine Learning Models against Adversarial Examples. Control Regular …

Blind Geometric Distortion Correction on Images Through Deep Learning. Improving One-shot NAS by Suppressing the Posterior Fading. Semi-Supervised Semantic Matching. Synthesis of Realistic ECG using Generative Adversarial Networks. Towards Content Transfer through Grounded Text Generation. An Update on Machine Learning in Neuro-oncology Diagnostics …

A Comparative Analysis of Knowledge-Intensive and Data-Intensive Semantic Parsers. A Deep Learning approach for Hindi Named Entity Recognition. Experimental Demonstration of Learned Time-Domain Digital Back-Propagation. Experience Sharing Between Cooperative Reinforcement Learning Agents. Perturbed-History Exploration in Stochastic Linear Bandits. …

Winograd Convolution for DNNs: Beyond linear polynomials. Artificial neural networks in action for an automated cell-type classification of biological neural networks. Object Viewpoint Classification Based 3D Bounding Box Estimation for Autonomous Vehicles. Adversarial Privacy Preservation under Attribute Inference Attack. Deep Learning Techniques …

Which Surrogate Works for Empirical Performance Modelling? A Case Study with Differential Evolution. Disparate Vulnerability: on the Unfairness of Privacy Attacks Against Machine Learning. Assessing The Factual Accuracy of Generated Text. Convolutional Neural Network for Convective Storm Nowcasting Using 3D Doppler Weather Radar Data. Transfer Lear …

A Note on Bounding Regret of the C$^2$UCB Contextual Combinatorial Bandit. Approximate Sampling using an Accelerated Metropolis-Hastings based on Bayesian Optimization and Gaussian Processes. Distributionally Robust Optimization with Correlated Data from Vector Autoregressive Processes. RATQ: A Universal Fixed-Length Quantizer for Stochastic Optimi …

FANNet: Formal Analysis of Noise Tolerance, Training Bias and Input Sensitivity in Neural Networks. Gradient Perturbation is Underrated for Differentially Private Convex Optimization. Automatic Ontology Learning from Domain-Specific Short Unstructured Text Data. Eavesdrop the Composition Proportion of Training Labels in Federated Learning. Contamin …

The Adversarial Machine Learning Conundrum: Can The Insecurity of ML Become The Achilles’ Heel of Cognitive Networks?. Deep Anchored Convolutional Neural Networks. The Virtual Patch Clamp: Imputing C. elegans Membrane Potentials from Calcium Imaging. Time series cluster kernels to exploit informative missingness and incomplete label information. Cl …

Exploring Stereovision-Based 3-D Scene Reconstruction for Augmented Reality. Challenging the Boundaries of Speech Recognition: The MALACH Corpus. A New CGAN Technique for Constrained Topology Design Optimization. MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples. Remote Heart Rate Measurement from Highly Co …

Optimal PAC-Bayesian Posteriors for Stochastic Classifiers and their use for Choice of SVM Regularization Parameter. Trans-Sense: Real Time Transportation Schedule Estimation Using Smart Phones. Complexity of Stochastic Dual Dynamic Programming. Reduced network extremal ensemble learning (RenEEL) scheme for community detection in complex networks. …

Deep Convolutional Neural Network for Automated Detection of Mind Wandering using EEG Signals. ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System. Machine Learning for Seizure Type Classification: Setting the benchmark. Towards Self-constructive Artificial Intelligence: Algorithmic basis (Part I). Clustering and Recogniti …

Online Pricing with Offline Data: Phase Transition and Inverse Square Law. Uncovering Probabilistic Implications in Typological Knowledge Bases. Filter Early, Match Late: Improving Network-Based Visual Place Recognition. A New Perspective on Machine Learning: How to do Perfect Supervised Learning. PairNorm: Tackling Oversmoothing in GNNs. Stopping …