Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks. CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing. DAOC: Stable Clustering of Large Networks. A Topic-Agnostic Approach for Identifying Fake News Pages. Compositio …

Attributed Network Embedding via Subspace Discovery. Recursive Cascaded Networks for Unsupervised Medical Image Registration. Learning Logistic Circuits. On the number of k-skip-n-grams. RANet: Ranking Attention Network for Fast Video Object Segmentation. Diversity with Cooperation: Ensemble Methods for Few-Shot Classification. Deep convolutional n …

Augmentation for small object detection. ID-aware Quality for Set-based Person Re-identification. Similarity-DT: Kernel Similarity Embedding for Dynamic Texture Synthesis. Semantics-Aligned Representation Learning for Person Re-identification. MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation. PRECOG: PREdiction Conditioned On …

CSGAN: Cyclic-Synthesized Generative Adversarial Networks for Image-to-Image Transformation. RVOS: End-to-End Recurrent Network for Video Object Segmentation. On a Randomized Multi-Block ADMM for Solving Selected Machine Learning Problems. Tensor Completion for Weakly-dependent Data on Graph for Metro Passenger Flow Prediction. Domain Generalizatio …

Deep Network Classification by Scattering and Homotopy Dictionary Learning. Multi-source Distilling Domain Adaptation. Forget Me Not: Reducing Catastrophic Forgetting for Domain Adaptation in Reading Comprehension. Stokes Inversion based on Convolutional Neural Networks. When Low Resource NLP Meets Unsupervised Language Model: Meta-pretraining Then …

Cherenkov Detectors Fast Simulation Using Neural Networks. Integrating the Data Augmentation Scheme with Various Classifiers for Acoustic Scene Modeling. Estimation of Absolute Scale in Monocular SLAM Using Synthetic Data. FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and Transparency. Fast video object segmentation with …

Convergence Guarantees for Adaptive Bayesian Quadrature Methods. Variance Reduction in Actor Critic Methods (ACM). Evolutionary Cell Aided Design for Neural Network Architectures. A Scalable Predictive Maintenance Model for Detecting Wind Turbine Component Failures Based on SCADA Data. Atari-fying the Vehicle Routing Problem with Stochastic Service …

End-to-End Learning of Multi-scale Convolutional Neural Network for Stereo Matching. QuesNet: A Unified Representation for Heterogeneous Test Questions. TW-SMNet: Deep Multitask Learning of Tele-Wide Stereo Matching. On Transfer Learning For Chatter Detection in Turning Using Wavelet Packet Transform and Empirical Mode Decomposition. Learning from …