Dimensionality Reduction

Paper Group ANR 302

January 30, 2020

Restricted Linearized Augmented Lagrangian Method for Euler’s Elastica Model. Hybrid Physical-Deep Learning Model for Astronomical Inverse Problems. Extracting Interpretable Concept-Based Decision Trees from CNNs. To See in the Dark: N2DGAN for Background Modeling in Nighttime Scene. Towards Explainable Music Emotion Recognition: The Route via Mid- …

Paper Group ANR 306

January 30, 2020

FastEstimator: A Deep Learning Library for Fast Prototyping and Productization. Generic Primitive Detection in Point Clouds Using Novel Minimal Quadric Fits. Brain correlates of task-load and dementia elucidation with tensor machine learning using oddball BCI paradigm. Dynamic Multi-path Neural Network. Promotion of Answer Value Measurement with Do …

Paper Group ANR 307

January 30, 2020

MM Algorithms for Distance Covariance based Sufficient Dimension Reduction and Sufficient Variable Selection. Annealing for Distributed Global Optimization. Langevin Monte Carlo without smoothness. Saliency Methods for Explaining Adversarial Attacks. TiK-means: $K$-means clustering for skewed groups. A Machine Learning Model for Long-Term Power Gen …

Paper Group ANR 313

January 30, 2020

Static Analysis for Probabilistic Programs. Walling up Backdoors in Intrusion Detection Systems. A Linear Systems Theory of Normalizing Flows. Distinguishing mirror from glass: A ‘big data’ approach to material perception. Iterative Collaborative Filtering for Sparse Noisy Tensor Estimation. Learning Transferable Features for Speech Emotion Recogni …

Paper Group ANR 350

January 30, 2020

Evaluating the Representational Hub of Language and Vision Models. Gradient Flows and Accelerated Proximal Splitting Methods. Improving Action Localization by Progressive Cross-stream Cooperation. Embedded Constrained Feature Construction for High-Energy Physics Data Classification. Predictive Coding as Stimulus Avoidance in Spiking Neural Networks …

Paper Group ANR 365

January 30, 2020

Analyzing the Cross-Sensor Portability of Neural Network Architectures for LiDAR-based Semantic Labeling. A Theory of Uncertainty Variables for State Estimation and Inference. Applying Abstract Argumentation Theory to Cooperative Game Theory. Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set. Enhancing the …

Paper Group ANR 369

January 30, 2020

Self-Assignment Flows for Unsupervised Data Labeling on Graphs. Manifold Fitting under Unbounded Noise. Who is in Your Top Three? Optimizing Learning in Elections with Many Candidates. Fast and accurate reconstruction of HARDI using a 1D encoder-decoder convolutional network. Interpreting Distortions in Dimensionality Reduction by Superimposing Nei …

Paper Group ANR 376

January 30, 2020

Logic could be learned from images. Improving the Gating Mechanism of Recurrent Neural Networks. A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis. Speed estimation evaluation on the KITTI benchmark based on motion and monocular depth information. Automatic Short Answer Gradi …

Paper Group ANR 394

January 30, 2020

5 Parallel Prism: A topology for pipelined implementations of convolutional neural networks using computational memory. A Novel Self-Organizing PID Approach for Controlling Mobile Robot Locomotion. Mirovia: A Benchmarking Suite for Modern Heterogeneous Computing. Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsuper …

Paper Group ANR 403

January 30, 2020

Efficient Kernel-based Subsequence Search for User Identification from Walking Activity. Unsupervised Construction of Knowledge Graphs From Text and Code. Quantifying error contributions of computational steps, algorithms and hyperparameter choices in image classification pipelines. Bayesian Receiver Operating Characteristic Metric for Linear Class …

Paper Group ANR 404

January 30, 2020

Reinforcement Learning with Policy Mixture Model for Temporal Point Processes Clustering. Structured Monte Carlo Sampling for Nonisotropic Distributions via Determinantal Point Processes. Deep Learning in Alzheimer’s disease: Diagnostic Classification and Prognostic Prediction using Neuroimaging Data. Parameter Efficient Training of Deep Convolutio …

Paper Group ANR 408

January 30, 2020

Deep Learning Reveals Underlying Physics of Light-matter Interactions in Nanophotonic Devices. Continual Prediction from EHR Data for Inpatient Acute Kidney Injury. Datalog Reasoning over Compressed RDF Knowledge Bases. Synthesizing facial photometries and corresponding geometries using generative adversarial networks. Barnes-Hut Approximation for …

Paper Group ANR 411

January 30, 2020

Controlling biases and diversity in diverse image-to-image translation. Simple and Almost Assumption-Free Out-of-Sample Bound for Random Feature Mapping. Great New Design: How Do We Talk about Media Architecture in Social Media. Learning Representations and Agents for Information Retrieval. Chinese Embedding via Stroke and Glyph Information: A Dual …

Paper Group ANR 412

January 30, 2020

Using Dimensionality Reduction to Optimize t-SNE. Efficient Winograd or Cook-Toom Convolution Kernel Implementation on Widely Used Mobile CPUs. Uncertainty-based graph convolutional networks for organ segmentation refinement. Word embeddings for idiolect identification. CN-Probase: A Data-driven Approach for Large-scale Chinese Taxonomy Constructio …

Paper Group ANR 421

January 30, 2020

Randomized Tensor Ring Decomposition and Its Application to Large-scale Data Reconstruction. A Review on Neural Network Models of Schizophrenia and Autism Spectrum Disorder. Intelligent Active Queue Management Using Explicit Congestion Notification. I Can See Clearly Now : Image Restoration via De-Raining. LSTM Networks Can Perform Dynamic Counting …

Paper Group ANR 439

January 30, 2020

A Framework for Predicting Impactability of Healthcare Interventions Using Machine Learning Methods, Administrative Claims, Sociodemographic and App Generated Data. Improving Voice Separation by Incorporating End-to-end Speech Recognition. Competence-based Curriculum Learning for Neural Machine Translation. Probabilistic Approximate Logic and its I …

Paper Group ANR 440

January 30, 2020

Learning to Prune: Speeding up Repeated Computations. Time-sync Video Tag Extraction Using Semantic Association Graph. Hyper-Graph-Network Decoders for Block Codes. Interpretability Beyond Classification Output: Semantic Bottleneck Networks. Investigating Antigram Behaviour using Distributional Semantics. Carpe Diem, Seize the Samples Uncertain “At …

Paper Group ANR 448

January 30, 2020

A Deep Learning-based Framework for the Detection of Schools of Herring in Echograms. Estimation of Utility-Maximizing Bounds on Potential Outcomes. What Synthesis is Missing: Depth Adaptation Integrated with Weak Supervision for Indoor Scene Parsing. Deep Representation Learning for Road Detection through Siamese Network. CWAE-IRL: Formulating a s …

Paper Group ANR 449

January 30, 2020

Deep Generative Models for Library Augmentation in Multiple Endmember Spectral Mixture Analysis. A Novel Topology for End-to-end Temporal Classification and Segmentation with Recurrent Neural Network. A Hybrid Approach Between Adversarial Generative Networks and Actor-Critic Policy Gradient for Low Rate High-Resolution Image Compression. Expected S …

Paper Group ANR 484

January 29, 2020

ID3 Learns Juntas for Smoothed Product Distributions. CloudifierNet – Deep Vision Models for Artificial Image Processing. SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval. Complex Evolution Recurrent Neural Networks (ceRNNs). Robust conditional GANs under missing or uncertain labels. Equiprobable mappings in weight …

Paper Group ANR 489

January 29, 2020

Efficient 3D Fully Convolutional Networks for Pulmonary Lobe Segmentation in CT Images. Local block-wise self attention for normal organ segmentation. Spatiotemporal Emotion Recognition using Deep CNN Based on EEG during Music Listening. Reliable Prediction Errors for Deep Neural Networks Using Test-Time Dropout. Individualized Multilayer Tensor Le …

Paper Group ANR 493

January 29, 2020

Preconditioned P-ULA for Joint Deconvolution-Segmentation of Ultrasound Images – Extended Version. Learning to Localize Temporal Events in Large-scale Video Data. Estudo comparativo de meta-heurísticas para problemas de colorações de grafos. Deep Learning for Multi-Scale Changepoint Detection in Multivariate Time Series. High-dimensional structure …

Paper Group ANR 495

January 29, 2020

A framework for streamlined statistical prediction using topic models. Multi-Scale Learned Iterative Reconstruction. Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks. AI Enabling Technologies: A Survey. Predicting retrosynthetic pathways using a combined linguistic model and hyper-graph exploration strateg …

Paper Group ANR 500

January 29, 2020

Forecasting the Success of Television Series using Machine Learning. Android Botnet Detection using Convolutional Neural Networks. Projecting “better than randomly”: How to reduce the dimensionality of very large datasets in a way that outperforms random projections. Constructing the F-Graph with a Symmetric Constraint for Subspace Clustering. Arch …

Paper Group ANR 506

January 29, 2020

Using recurrent neural networks for nonlinear component computation in advection-dominated reduced-order models. Laplacian Matrix for Dimensionality Reduction and Clustering. Reconstructing commuters network using machine learning and urban indicators. Variational Bayes on Manifolds. Encouraging an Appropriate Representation Simplifies Training of …

Paper Group ANR 507

January 29, 2020

An Attention-Based Speaker Naming Method for Online Adaptation in Non-Fixed Scenarios. Estimating Feature-Label Dependence Using Gini Distance Statistics. A Graph-based Ranking Approach to Extract Key-frames for Static Video Summarization. Comprehensive Video Understanding: Video summarization with content-based video recommender design. AFP-Net: R …

Paper Group ANR 508

January 29, 2020

Committee Selection with Attribute Level Preferences. Self-Attentive Adversarial Stain Normalization. Modulating Surrogates for Bayesian Optimization. Universal Dependency Parsing from Scratch. Towards Learning Structure via Consensus for Face Segmentation and Parsing. DeepSpline: Data-Driven Reconstruction of Parametric Curves and Surfaces. Deep L …

Paper Group ANR 516

January 29, 2020

Exploring the 3D architectures of deep material network in data-driven multiscale mechanics. Dueling Decoders: Regularizing Variational Autoencoder Latent Spaces. Classification-driven Single Image Dehazing. MC-ISTA-Net: Adaptive Measurement and Initialization and Channel Attention Optimization inspired Neural Network for Compressive Sensing. Ensem …