Link Prediction

Paper Group ANR 596

January 29, 2020

Learning-Based Video Game Development in MLP@UoM: An Overview. Deep learning-based prediction of kinetic parameters from myocardial perfusion MRI. Quantum-Assisted Genetic Algorithm. Dynamic Ensemble Modeling Approach to Nonstationary Neural Decoding in Brain-Computer Interfaces. CoKE: Contextualized Knowledge Graph Embedding. DEGAS: Differentiable …

Paper Group ANR 604

January 29, 2020

Objective Assessment of Social Skills Using Automated Language Analysis for Identification of Schizophrenia and Bipolar Disorder. Abstract Argumentation and the Rational Man. Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates. Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning …

Paper Group ANR 656

January 29, 2020

Embodied Multimodal Multitask Learning. Improving Neural Relation Extraction with Positive and Unlabeled Learning. Amharic-Arabic Neural Machine Translation. Sparsely Grouped Input Variables for Neural Networks. Provably Efficient $Q$-learning with Function Approximation via Distribution Shift Error Checking Oracle. Deep Representation Learning for …

Paper Group ANR 678

January 29, 2020

Node Attribute Generation on Graphs. Normalizing Constant Estimation with Gaussianized Bridge Sampling. Unsupervised Feature Selection based on Adaptive Similarity Learning and Subspace Clustering. Learning to Infer Entities, Properties and their Relations from Clinical Conversations. Learning Graphs from Noisy Epidemic Cascades. Extracting Symptom …

Paper Group ANR 683

January 29, 2020

Q-Search Trees: An Information-Theoretic Approach Towards Hierarchical Abstractions for Agents with Computational Limitations. Generative Continual Concept Learning. Development of a Robotic System for Automatic Wheel Removal and Fitting. Continual Learning of New Sound Classes using Generative Replay. Can Neural Networks Learn Symbolic Rewriting?. …

Paper Group ANR 689

January 29, 2020

Differential equations as models of deep neural networks. Variational Autoencoder Trajectory Primitives with Continuous and Discrete Latent Codes. Physics-Informed Echo State Networks for Chaotic Systems Forecasting. Knowledge extraction from the learning of sequences in a long short term memory (LSTM) architecture. New Approach for Solving The Clu …

Paper Group ANR 731

January 29, 2020

Study of Robust Two-Stage Reduced-Dimension Sparsity-Aware STAP with Coprime Arrays. Conditional Adversarial Generative Flow for Controllable Image Synthesis. Siamese Neural Networks for Wireless Positioning and Channel Charting. Estimating covariance and precision matrices along subspaces. Decoupling feature propagation from the design of graph au …

Paper Group ANR 732

January 29, 2020

Faster AutoAugment: Learning Augmentation Strategies using Backpropagation. Improving Evolutionary Strategies with Generative Neural Networks. Running Event Visualization using Videos from Multiple Cameras. What Can Learned Intrinsic Rewards Capture?. Learning Self-Game-Play Agents for Combinatorial Optimization Problems. GA-DAN: Geometry-Aware Dom …

Paper Group ANR 759

January 29, 2020

A system for generating complex physically accurate sensor images for automotive applications. Recognition of Multiple Food Items in a Single Photo for Use in a Buffet-Style Restaurant. Robust Model Predictive Shielding for Safe Reinforcement Learning with Stochastic Dynamics. BioNLP-OST 2019 RDoC Tasks: Multi-grain Neural Relevance Ranking Using T …

Paper Group ANR 768

January 29, 2020

Truly Generalizable Radiograph Segmentation with Conditional Domain Adaptation. Sign Language Recognition Analysis using Multimodal Data. MinCall - MinION end2end convolutional deep learning basecaller. AI-based Pilgrim Detection using Convolutional Neural Networks. Obj-GloVe: Scene-Based Contextual Object Embedding. Fake news detection using Deep …

Paper Group ANR 1027

January 28, 2020

On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems. Probabilistic Modeling for Novelty Detection with Applications to Fraud Identification. Empirical effect of graph embeddings on fraud detection/ risk mitigation. A Bootstrap-based Inference Framework for Testing Similarity of Paired Networks. Deep Learning-based Radiomic Features fo …

Paper Group ANR 1038

January 28, 2020

Multi-loss-aware Channel Pruning of Deep Networks. Semantic Segmentation of Seismic Images. The CM Algorithm for the Maximum Mutual Information Classifications of Unseen Instances. Learning Erdős-Rényi Graphs under Partial Observations: Concentration or Sparsity?. Global Temporal Representation based CNNs for Infrared Action Recognition. Data-Depen …

Paper Group ANR 1039

January 28, 2020

Fully-Convolutional Intensive Feature Flow Neural Network for Text Recognition. A Feature Transfer Enabled Multi-Task Deep Learning Model on Medical Imaging. NeuralDivergence: Exploring and Understanding Neural Networks by Comparing Activation Distributions. Data-driven Reconstruction of Nonlinear Dynamics from Sparse Observation. Metric Gaussian V …

Paper Group ANR 1067

January 28, 2020

Knowledge-guided Text Structuring in Clinical Trials. Machine Learning-enhanced Realistic Framework for Real-time Seismic Monitoring – The Winning Solution of the 2017 International Aftershock Detection Contest. Machine Truth Serum. Bayesian Modelling in Practice: Using Uncertainty to Improve Trustworthiness in Medical Applications. High-Resolutio …

Paper Group ANR 796

January 28, 2020

GP2C: Geometric Projection Parameter Consensus for Joint 3D Pose and Focal Length Estimation in the Wild. Sim2real transfer learning for 3D human pose estimation: motion to the rescue. Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation. Bayesian Inference of Spacecraft Pose using …

Paper Group ANR 824

January 28, 2020

Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time). Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation. Online Multiple Pedestrian Tracking using Deep Temporal Appearance Matching Association. Reinforced Genetic Algorithm Learning for Optimizing Computation …

Paper Group ANR 826

January 28, 2020

Efficiently Embedding Dynamic Knowledge Graphs. Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy. Machine learning topological phases in real space. Small and Practical BERT Models for Sequence Labeling. Generative Model-Based Ischemic Stroke Lesion Segmentation. MG-VAE: Deep Chinese Folk Songs Generation with Specif …

Paper Group ANR 832

January 28, 2020

Deep learning based pulse shape discrimination for germanium detectors. Self-Attentional Models Application in Task-Oriented Dialogue Generation Systems. Strategic Prediction with Latent Aggregative Games. End-to-End Adversarial Learning for Intrusion Detection in Computer Networks. Synthesizing Action Sequences for Modifying Model Decisions. An En …

Paper Group ANR 860

January 28, 2020

Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion. An End-to-End Framework to Identify Pathogenic Social Media Accounts on Twitter. Reinforced Imitation in Heterogeneous Action Space. Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of A …

Paper Group ANR 862

January 28, 2020

Paper Group ANR 913

January 28, 2020

Learning physics-based reduced-order models for a single-injector combustion process. Do not Omit Local Minimizer: a Complete Solution for Pose Estimation from 3D Correspondences. Are Out-of-Distribution Detection Methods Effective on Large-Scale Datasets?. Doubly Robust Off-Policy Actor-Critic Algorithms for Reinforcement Learning. Detecting Cyber …

Paper Group ANR 915

January 28, 2020

Rethinking Classification and Localization for Cascade R-CNN. Efficient Bitmap-based Indexing and Retrieval of Similarity Search Image Queries. A Simple Text Mining Approach for Ranking Pairwise Associations in Biomedical Applications. Addressing Objects and Their Relations: The Conversational Entity Dialogue Model. Learning Continuous Occupancy Ma …

Paper Group ANR 930

January 28, 2020

Heart Segmentation From MRI Scans Using Convolutional Neural Network. How Much Can We See? A Note on Quantifying Explainability of Machine Learning Models. Learning Graph Embedding with Adversarial Training Methods. Localizing Unseen Activities in Video via Image Query. Deep Learning-Based Constellation Optimization for Physical Network Coding in T …

Paper Group ANR 965

January 28, 2020

SCR-Graph: Spatial-Causal Relationships based Graph Reasoning Network for Human Action Prediction. Generating and Aligning from Data Geometries with Generative Adversarial Networks. Transformed $\ell_1$ Regularization for Learning Sparse Deep Neural Networks. TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link Pr …

Paper Group ANR 981

January 28, 2020

Online Synthesis for Runtime Enforcement of Safety in Multi-Agent Systems. Data hiding in complex-amplitude modulation using a digital micromirror device. Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds. Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention. Outlier-Robust Spatia …

Paper Group ANR 1074

January 27, 2020

Adaptive Generation of Phantom Limbs Using Visible Hierarchical Autoencoders. Graph Learning Network: A Structure Learning Algorithm. Efficient Private Algorithms for Learning Large-Margin Halfspaces. FOBE and HOBE: First- and High-Order Bipartite Embeddings. Large Scale Organization and Inference of an Imagery Dataset for Public Safety. Hierarchic …

Paper Group ANR 1075

January 27, 2020

Mixture-Model-based Bounding Box Density Estimation for Object Detection. Auditing ImageNet: Towards a Model-driven Framework for Annotating Demographic Attributes of Large-Scale Image Datasets. Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding. Knowledge Graph Embedding Bi-Vector Models for Symmetric Relation. MinWikiSplit: …

Paper Group ANR 1134

January 27, 2020

The University of Edinburgh’s Submissions to the WMT19 News Translation Task. A review on Neural Turing Machine. Finite-Sum Smooth Optimization with SARAH. A Learning Framework for Distribution-Based Game-Theoretic Solution Concepts. Common Mode Patterns for Supervised Tensor Subspace Learning. Robust Environmental Sound Recognition with Sparse Key …