Artificial Neural Network Modeling for Path Loss Prediction in Urban Environments. LambdaOpt: Learn to Regularize Recommender Models in Finer Levels. Handling correlated and repeated measurements with the smoothed Multivariate square-root Lasso. The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation. Evaluating …

Exploiting temporal consistency for real-time video depth estimation. Unsupervised Single Image Underwater Depth Estimation. Shape Robust Text Detection with Progressive Scale Expansion Network. Segmentation of Roots in Soil with U-Net. Multi-scale Cell Instance Segmentation with Keypoint Graph based Bounding Boxes. Human Pose Estimation for Real-W …

Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation. Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies. Unsupervised algorithm for disaggregating low-sampling-rate electricity consumption of households. Stigmergic Independent Reinforcement Learning for Multi-Agent Collaboration. Transmission Ma …

Federated Learning over Wireless Fading Channels. Towards the Enhancement of Body Standing Balance Recovery by Means of a Wireless Audio-Biofeedback System. Unsupervised Assignment Flow: Label Learning on Feature Manifolds by Spatially Regularized Geometric Assignment. DeepHuman: 3D Human Reconstruction from a Single Image. Multi-View Multi-Instanc …

Butterfly-Net2: Simplified Butterfly-Net and Fourier Transform Initialization. Embedding Imputation with Grounded Language Information. Online Variance Reduction with Mixtures. Point cloud registration: matching a maximal common subset on pointclouds with noise (with 2D implementation). What Do We Really Need? Degenerating U-Net on Retinal Vessel S …

DLA: Dense-Layer-Analysis for Adversarial Example Detection. Sparse Lifting of Dense Vectors: Unifying Word and Sentence Representations. Liability Design for Autonomous Vehicles and Human-Driven Vehicles: A Hierarchical Game-Theoretic Approach. Robust Dense Mapping for Large-Scale Dynamic Environments. Prospect Theory Based Crowdsourcing for Class …

Consistent Scale Normalization for Object Recognition. Estimation of Orientation and Camera Parameters from Cryo-Electron Microscopy Images with Variational Autoencoders and Generative Adversarial Networks. Outlier Robust Extreme Learning Machine for Multi-Target Regression. PAC learning with stable and private predictions. Physics-based Neural Net …

Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations. Variance Reduction for Matrix Games. A Long-Short Demands-Aware Model for Next-Item Recommendation. A Linear-complexity Multi-biometric Forensic Document Analysis System, by Fusing the Stylome and Signature Modalities. Enhancing Learnability of classification algorithms …

From Community to Role-based Graph Embeddings. Comparison of brain connectomes using geodesic distance on manifold:a twin study. Global Capacity Measures for Deep ReLU Networks via Path Sampling. Guided Attention Network for Object Detection and Counting on Drones. Tensor-Train Parameterization for Ultra Dimensionality Reduction. Automatic trajecto …

Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts. Small Steps and Giant Leaps: Minimal Newton Solvers for Deep Learning. Learning Latent Semantic Representation from Pre-defined Generative Model. ACCELERATING NONCONVEX LEARNING VIA REPLICA EXCHANGE LANGEVIN DIFFUSION. Cardiff University at SemEval-20 …