Margin Maximization as Lossless Maximal Compression. Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging. Ensembles of Many Diverse Weak Defenses can be Strong: Defending Deep Neural Networks Against Adversarial Attacks. Learning from Positive and Unlabeled Data with Arbitrary Positive Shift. Global Context-Aware Progressive Aggre …

Removing Dynamic Objects for Static Scene Reconstruction using Light Fields. Proceedings of the Artificial Intelligence for Cyber Security (AICS) Workshop 2020. Improving Reliability of Latent Dirichlet Allocation by Assessing Its Stability Using Clustering Techniques on Replicated Runs. Adversarially Robust Frame Sampling with Bounded Irregulariti …

Majorization Minimization Methods to Distributed Pose Graph Optimization with Convergence Guarantees. A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs. Missing Data Imputation for Classification Problems. Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models. Dynami …

The Efficiency of Human Cognition Reflects Planned Information Processing. Autonomous Discovery of Unknown Reaction Pathways from Data by Chemical Reaction Neural Network. SummerTime: Variable-length Time SeriesSummarization with Applications to PhysicalActivity Analysis. Controlled time series generation for automotive software-in-the-loop testing …

Determination of Latent Dimensionality in International Trade Flow. Jelly Bean World: A Testbed for Never-Ending Learning. Bringing freedom in variable choice when searching counter-examples in floating point programs. Using AI for Mitigating the Impact of Network Delay in Cloud-based Intelligent Traffic Signal Control. Deceiving Image-to-Image Tra …

Fast Detection of Maximum Common Subgraph via Deep Q-Learning. Semi-supervised Anomaly Detection using AutoEncoders. Rough Set based Aggregate Rank Measure & its Application to Supervised Multi Document Summarization. An Exploration of Embodied Visual Exploration. StereoNeuroBayesSLAM: A Neurobiologically Inspired Stereo Visual SLAM System Based on …

Convolutional Neural Networks for Image-based Corn Kernel Detection and Counting. Probabilistic spike propagation for FPGA implementation of spiking neural networks. Deterministic Approximate EM Algorithm; Application to the Riemann Approximation EM and the Tempered EM. Adaptive Structural Hyper-Parameter Configuration by Q-Learning. SceneCAD: Pred …