Unsupervised Competitive Hardware Learning Rule for Spintronic Clustering Architecture. Influence Function based Data Poisoning Attacks to Top-N Recommender Systems. Woodbury Transformations for Deep Generative Flows. Improved Optimistic Algorithms for Logistic Bandits. Deep Reinforcement Learning-Based Beam Tracking for Low-Latency Services in Veh …

Neighborhood-based Pooling for Population-level Label Distribution Learning. Automatic phantom test pattern classification through transfer learning with deep neural networks. SUPAID: A Rule mining based method for automatic rollout decision aid for supervisors in fleet management systems. Predicting Semantic Map Representations from Images using P …

Retrospective Reader for Machine Reading Comprehension. Uncertainty Quantification for Demand Prediction in Contextual Dynamic Pricing. Investigating Software Usage in the Social Sciences: A Knowledge Graph Approach. Is Aligning Embedding Spaces a Challenging Task? An Analysis of the Existing Methods. Assortment Optimization with Repeated Exposures …

Spatial-Temporal Multi-Cue Network for Continuous Sign Language Recognition. A tutorial on the range variant of asymmetric numeral systems. On a Generalization of the Average Distance Classifier. Performance Analysis and Comparison of Machine and Deep Learning Algorithms for IoT Data Classification. Rethinking Sparse Gaussian Processes: Bayesian Ap …

Distributed Embodied Evolution in Networks of Agents. On Catastrophic Interference in Atari 2600 Games. EPOS: Estimating 6D Pose of Objects with Symmetries. No-regret learning dynamics for extensive-form correlated and coarse correlated equilibria. Parallel Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints. Work i …

SketchDesc: Learning Local Sketch Descriptors for Multi-view Correspondence. Anomaly detection in chest radiographs with a weakly supervised flow-based deep learning method. Improving the Detection of Burnt Areas in Remote Sensing using Hyper-features Evolved by M3GP. Fast Adaptation to Super-Resolution Networks via Meta-Learning. Stochastic Proxim …

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 …