Graph Embedding

Paper Group ANR 990

January 28, 2020

Sinogram interpolation for sparse-view micro-CT with deep learning neural network. SAPSAM - Sparsely Annotated Pathological Sign Activation Maps - A novel approach to train Convolutional Neural Networks on lung CT scans using binary labels only. A Novel Approach for Partial Fingerprint Identification to Mitigate MasterPrint Generation. Conditional …

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 1121

January 27, 2020

Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction. Crowd Counting on Images with Scale Variation and Isolated Clusters. Viability of machine learning to reduce workload in systematic review screenings in the health sciences: a working paper. SizeNet: Weakly Supervised Learning of Visual Size and Fit in Fashion Images. Aug …

Paper Group ANR 1125

January 27, 2020

Shape-Aware Human Pose and Shape Reconstruction Using Multi-View Images. On the notion of number in humans and machines. STM: SpatioTemporal and Motion Encoding for Action Recognition. A Novel Self-Intersection Penalty Term for Statistical Body Shape Models and Its Applications in 3D Pose Estimation. Keyword Spotting for Hearing Assistive Devices R …

Paper Group ANR 1174

January 27, 2020

Enforcing Deterministic Constraints on Generative Adversarial Networks for Emulating Physical Systems. A Combination of Temporal Sequence Learning and Data Description for Anomaly-based NIDS. Dynamic Context Correspondence Network for Semantic Alignment. Locally adaptive activation functions with slope recovery term for deep and physics-informed ne …

Paper Group ANR 1203

January 27, 2020

Cardiac MRI Segmentation with Strong Anatomical Guarantees. A necessary and sufficient stability notion for adaptive generalization. Necessary and Sufficient Geometries for Gradient Methods. Adaptive Configuration Oracle for Online Portfolio Selection Methods. Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay …

Paper Group ANR 1251

January 27, 2020

Sharp Restricted Isometry Bounds for the Inexistence of Spurious Local Minima in Nonconvex Matrix Recovery. Graph Representation Learning: A Survey. Modulated binary cliquenet. Binary Space Partitioning Forests. Differentially private sub-Gaussian location estimators. Graph Neural Networks for Image Understanding Based on Multiple Cues: Group Emoti …

Paper Group ANR 1276

January 27, 2020

Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP Events. Graph-based Multi-view Binary Learning for Image Clustering. Toward a Computational Theory of Evidence-Based Reasoning for Instructable Cognitive Agents. Learning eating environments through scene clustering. Online Debiasing for Adaptively Coll …

Paper Group ANR 1306

January 27, 2020

An Interactive Musical Prediction System with Mixture Density Recurrent Neural Networks. ICDAR 2019 Competition on Large-scale Street View Text with Partial Labeling – RRC-LSVT. A Unified Point-Based Framework for 3D Segmentation. Neural Machine Translation with Recurrent Highway Networks. Transfer Learning with Sparse Associative Memories. Toward …

Paper Group ANR 1346

January 26, 2020

Explainability in Human-Agent Systems. Panoptic Image Annotation with a Collaborative Assistant. Distributed Variational Bayesian Algorithms for Extended Object Tracking. High Frequency Residual Learning for Multi-Scale Image Classification. Algorithm Portfolio for Individual-based Surrogate-Assisted Evolutionary Algorithms. Importance of spatial p …

Paper Group ANR 1368

January 26, 2020

PyHessian: Neural Networks Through the Lens of the Hessian. Variational Conditional GAN for Fine-grained Controllable Image Generation. Fourier-CPPNs for Image Synthesis. Spatial-Aware Non-Local Attention for Fashion Landmark Detection. Capacity allocation through neural network layers. Ranking architectures using meta-learning. Drug-Drug Adverse E …

Paper Group ANR 1419

January 26, 2020

Gaze Training by Modulated Dropout Improves Imitation Learning. Wasserstein Neural Processes. Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations. Cascading: Association Augmented Sequential Recommendation. SLM Lab: A Comprehensive Benchmark and Modular Software Frame …

Paper Group ANR 1468

January 26, 2020

A Machine Learning framework for Sleeping Cell Detection in a Smart-city IoT Telecommunications Infrastructure. Deep Learning Multidimensional Projections. Truth Inference at Scale: A Bayesian Model for Adjudicating Highly Redundant Crowd Annotations. On the relationship between multitask neural networks and multitask Gaussian Processes. Stationary …

Paper Group ANR 1488

January 26, 2020

Iteratively reweighted penalty alternating minimization methods with continuation for image deblurring. DeepView: View Synthesis with Learned Gradient Descent. Improving Interactive Reinforcement Agent Planning with Human Demonstration. Multi-Cue Vehicle Detection for Semantic Video Compression In Georegistered Aerial Videos. Knowledge transfer in …

Paper Group ANR 1504

January 26, 2020

Improving Multi-turn Dialogue Modelling with Utterance ReWriter. Analysis of the hands in egocentric vision: A survey. A Ride-Matching Strategy For Large Scale Dynamic Ridesharing Services Based on Polar Coordinates. Naive Gabor Networks for Hyperspectral Image Classification. On Functional Test Generation for Deep Neural Network IPs. Interpretable …

Paper Group ANR 1539

January 26, 2020

Improving Robustness of ReRAM-based Spiking Neural Network Accelerator with Stochastic Spike-timing-dependent-plasticity. From Multi-modal Property Dataset to Robot-centric Conceptual Knowledge About Household Objects. Generating Multi-Sentence Abstractive Summaries of Interleaved Texts. Advances in Machine Learning for the Behavioral Sciences. Dir …

Paper Group ANR 1541

January 26, 2020

Understanding Knowledge Distillation in Non-autoregressive Machine Translation. Doubly Robust Crowdsourcing. Free Gap Information from the Differentially Private Sparse Vector and Noisy Max Mechanisms. Active Perception in Adversarial Scenarios using Maximum Entropy Deep Reinforcement Learning. Translating SAR to Optical Images for Assisted Interpr …

Paper Group ANR 1626

January 25, 2020

Weightless Neural Network with Transfer Learning to Detect Distress in Asphalt. A Distributed Approach to LARS Stream Reasoning (System paper). Recommending research articles to consumers of online vaccination information. Discovery of Important Subsequences in Electrocardiogram Beats Using the Nearest Neighbour Algorithm. Multi-Vehicle Mixed-Reali …

Paper Group ANR 1647

January 25, 2020

Multi-scale Cross-form Pyramid Network for Stereo Matching. Just Ask:An Interactive Learning Framework for Vision and Language Navigation. A Two-Stage Stochastic Programming Model for Car-Sharing Problem using Kernel Density Estimation. Unsupervised Adversarial Graph Alignment with Graph Embedding. Demystifying the MLPerf Benchmark Suite. Amobee at …

Paper Group ANR 1648

January 25, 2020

A Stochastic Proximal Point Algorithm for Saddle-Point Problems. 3D Graph Embedding Learning with a Structure-aware Loss Function for Point Cloud Semantic Instance Segmentation. Few-shot Learning with Contextual Cueing for Object Recognition in Complex Scenes. Space-adaptive anisotropic bivariate Laplacian regularization for image restoration. Sola …

Paper Group ANR 1661

January 25, 2020

Triplet-Aware Scene Graph Embeddings. Machine Learning at Microsoft with ML .NET. Efficient Data Analytics on Augmented Similarity Triplets. Learning Sparse Mixture of Experts for Visual Question Answering. Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering. A Multi …

Paper Group ANR 1716

January 25, 2020

Automatic Cobb Angle Detection using Vertebra Detector and Vertebra Corners Regression. Nearest-Neighbour-Induced Isolation Similarity and its Impact on Density-Based Clustering. Combining Compositional Models and Deep Networks For Robust Object Classification under Occlusion. DR$\vert$GRADUATE: uncertainty-aware deep learning-based diabetic retino …

Paper Group ANR 1717

January 25, 2020

Semi-Supervised Graph Embedding for Multi-Label Graph Node Classification. Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing. Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation. Verification and Validation of Semantic Annotations. A difficulty ranking approa …

Paper Group ANR 1731

January 25, 2020

Anomaly Locality in Video Surveillance. Domain Partitioning Network. State Classification of Cooking Objects Using a VGG CNN. Deep Learning-Aided Tabu Search Detection for Large MIMO Systems. Optimal Estimation of Change in a Population of Parameters. Automatically Identifying Comparator Groups on Twitter for Digital Epidemiology of Pregnancy Outco …

Paper Group ANR 1732

January 25, 2020

Empirical Study of Easy and Hard Examples in CNN Training. Improving benchmarks for autonomous vehicles testing using synthetically generated images. Skin Lesion Classification Using Deep Neural Network. Two-Stream Video Classification with Cross-Modality Attention. Leveraging directed causal discovery to detect latent common causes. Joint Represen …

Paper Group ANR 1763

January 25, 2020

An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms. Aerial multi-object tracking by detection using deep association networks. Mixed Strategy Game Model Against Data Poisoning Attacks. Data Poisoning Attack against Knowledge Graph Embedding. Learning Meta Model for Zero- and Few-shot Face Anti-spoofing. Can Machine Learning …

Paper Group ANR 1764

January 25, 2020

Spectrum Data Poisoning with Adversarial Deep Learning. Self-Attention Aligner: A Latency-Control End-to-End Model for ASR Using Self-Attention Network and Chunk-Hopping. Understanding MCMC Dynamics as Flows on the Wasserstein Space. DeepAAA: clinically applicable and generalizable detection of abdominal aortic aneurysm using deep learning. Person …

Paper Group ANR 1765

January 25, 2020

Learning Residual Flow as Dynamic Motion from Stereo Videos. Using image-extracted features to determine heart rate and blink duration for driver sleepiness detection. Apricot variety classification using image processing and machine learning approaches. Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embe …