A Deep learning Approach to Generate Contrast-Enhanced Computerised Tomography Angiography without the Use of Intravenous Contrast Agents. Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation. Keyword-based Topic Modeling and Keyword Selection. Bimodal Distribution Removal and Genetic Algorithm in Neural Network …

BUT Opensat 2019 Speech Recognition System. Cost-Sensitive BERT for Generalisable Sentence Classification with Imbalanced Data. Equivariant flow-based sampling for lattice gauge theory. Neural Networks are Surprisingly Modular. A Job-Assignment Heuristic for Lifelong Multi-Agent Path Finding Problem with Multiple Delivery Locations. Bipartite Link …

High-Dimensional Feature Selection for Genomic Datasets. Localized Flow-Based Clustering in Hypergraphs. Train Scheduling with Hybrid Answer Set Programming. Regression via Implicit Models and Optimal Transport Cost Minimization. Context Based Emotion Recognition using EMOTIC Dataset. Decentralized Learning for Channel Allocation in IoT Networks ov …

A Dataset of German Legal Documents for Named Entity Recognition. Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation. Listwise Learning to Rank by Exploring Unique Ratings. VerSe: A Vertebrae Labelling and Segmentation Benchmark. Probabilistic Regression for Visual Tracking. Instance Credibili …

Closed-loop deep learning: generating forward models with back-propagation. GenDICE: Generalized Offline Estimation of Stationary Values. Towards Rapid and Robust Adversarial Training with One-Step Attacks. An Auxiliary Task for Learning Nuclei Segmentation in 3D Microscopy Images. Adversarial Training for Aspect-Based Sentiment Analysis with BERT. …

M2m: Imbalanced Classification via Major-to-minor Translation. Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways. Learn to Design the Heuristics for Vehicle Routing Problem. Graph Neural Distance Metric Learning with Graph-Bert. Sound Event Detection with Depthwise Separable and Dilated Convolutions. Regiona …

Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision. Unbiased and Efficient Log-Likelihood Estimation with Inverse Binomial Sampling. Single-exposure absorption imaging of ultracold atoms using deep learning. Cross-Iteration Batch Normalization. ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network. Gettin …

When are Non-Parametric Methods Robust?. Multi-level Head-wise Match and Aggregation in Transformer for Textual Sequence Matching. Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection. A Group Norm Regularized LRR Factorization Model for Spectral Clustering. Information Newton’s flow: second-order optimizat …