Time Series

Paper Group ANR 1631

January 25, 2020

Chainer: A Deep Learning Framework for Accelerating the Research Cycle. Multi-sense Definition Modeling using Word Sense Decompositions. Matching Thermal to Visible Face Images Using a Semantic-Guided Generative Adversarial Network. Black-Box Decision based Adversarial Attack with Symmetric $α$-stable Distribution. Domain-Specific Priors and Meta L …

Paper Group ANR 1632

January 25, 2020

Resolution enhancement in scanning electron microscopy using deep learning. Automated Classification of Seizures against Nonseizures: A Deep Learning Approach. FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition. Spatiotemporal Feature Learning for Event-Based Vision. Learnability Can Be Independent of ZFC Axioms: Explanations …

Paper Group ANR 1633

January 25, 2020

Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss. Integrating Spatial Configuration into Heatmap Regression Based CNNs for Landmark Localization. Road Network Reconstruction from Satellite Images with Machine Learning Supported by Topological Methods. Composite Neural Network: Theory and Application to PM2 …

Paper Group ANR 1634

January 25, 2020

A novel hybrid model based on multi-objective Harris hawks optimization algorithm for daily PM2.5 and PM10 forecasting. Data-driven Policy on Feasibility Determination for the Train Shunting Problem. SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules. U-CNNpred: A Universal CNN-based Predictor for Stock Markets. An Algorithmic In …

Paper Group ANR 1637

January 25, 2020

Computational Socioeconomics. Listening while Speaking and Visualizing: Improving ASR through Multimodal Chain. Fitted Q-Learning in Mean-field Games. Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence. Generalised learning of time-series: Ornstein-Uhlenbeck processes. Vi …

Paper Group ANR 1640

January 25, 2020

Leveraging Deep Learning to Improve the Performance Predictability of Cloud Microservices. Regularized Estimation and Feature Selection in Mixtures of Gaussian-Gated Experts Models. EcoLens: Visual Analysis of Urban Region Dynamics Using Traffic Data. Automatic Detection and Classification of Cognitive Distortions in Mental Health Text. Inoculation …

Paper Group ANR 1643

January 25, 2020

Implicit Priors for Knowledge Sharing in Bayesian Neural Networks. Spatial Analysis Made Easy with Linear Regression and Kernels. Gauge Equivariant Convolutional Networks and the Icosahedral CNN. Polyphone Disambiguation for Mandarin Chinese Using Conditional Neural Network with Multi-level Embedding Features. Scalable Facial Image Compression with …

Paper Group ANR 1645

January 25, 2020

Severity Detection Tool for Patients with Infectious Disease. Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs. NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences. Time-Dependent Deep Image Prior for Dynamic MRI. Towards Interpretable Deep Extreme Multi-label Learning. Study of the …

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 1649

January 25, 2020

Building Dynamic Knowledge Graphs from Text-based Games. Drishtikon: An advanced navigational aid system for visually impaired people. Unsupervised routine discovery in egocentric photo-streams. Action Recognition Using Volumetric Motion Representations. Coloring the Black Box: Visualizing neural network behavior with a self-introspective model. Op …

Paper Group ANR 1653

January 25, 2020

Explainable AI: Deep Reinforcement Learning Agents for Residential Demand Side Cost Savings in Smart Grids. Neural Machine Reading Comprehension: Methods and Trends. Sparse Coding of Shape Trajectories for Facial Expression and Action Recognition. QuPWM: Feature Extraction Method for MEG Epileptic Spike Detection. An Actor-Critic-Attention Mechanis …

Paper Group ANR 1658

January 25, 2020

Learning from Web Data with Self-Organizing Memory Module. Cloud-based Image Classification Service Is Not Robust To Simple Transformations: A Forgotten Battlefield. Super-Resolved Image Perceptual Quality Improvement via Multi-Feature Discriminators. Learning to Detect and Retrieve Objects from Unlabeled Videos. Sentiment Tagging with Partial Labe …

Paper Group ANR 1659

January 25, 2020

Multimodal Dataset of Human-Robot Hugging Interaction. Heartbeat Anomaly Detection using Adversarial Oversampling. Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce. Meta-Q-Learning. Neural Logic Reinforcement Learning. Learning Disentangled Representations with Reference-Based Variational Autoencode …

Paper Group ANR 1660

January 25, 2020

Pedestrian Tracking by Probabilistic Data Association and Correspondence Embeddings. Thompson Sampling with Approximate Inference. Deep Adaptive Input Normalization for Time Series Forecasting. Selection via Proxy: Efficient Data Selection for Deep Learning. StRE: Self Attentive Edit Quality Prediction in Wikipedia. Techniques for Inferring Context …

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 1664

January 25, 2020

Latent Relation Language Models. Data Extraction from Charts via Single Deep Neural Network. Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret. Financial Applications of Gaussian Processes and Bayesian Optimization. Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation. Compositi …

Paper Group ANR 1665

January 25, 2020

Active learning for enumerating local minima based on Gaussian process derivatives. Modeling Electromagnetic Navigation Systems for Medical Applications using Random Forests and Artificial Neural Networks. Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors. Report on the SIGIR 2019 Workshop on eCommerce (ECOM19). BasisConv: A …

Paper Group ANR 1666

January 25, 2020

A Vietnamese information retrieval system for product-price. In-memory hyperdimensional computing. Are skip connections necessary for biologically plausible learning rules?. Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control. Automatic Video Object Segmentation via Motion-Appearance-Stream Fusion and Instance-awar …

Paper Group ANR 1667

January 25, 2020

Word-order biases in deep-agent emergent communication. Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion Planners. A Speech Act Classifier for Persian Texts and its Application in Identify Speech Act of Rumors. MGP-AttTCN: An Interpretable Machine Learning Model for the Prediction of Sepsis. Time series model s …

Paper Group ANR 1673

January 25, 2020

DeGAN : Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier. Accurate and Fast Retrieval for Complex Non-metric Data via Neighborhood Graphs. Estimating Forces of Robotic Pouring Using a LSTM RNN. Domain Adaptation Regularization for Spectral Pruning. Mixture Modeling of Global Shape Priors and Autoencoding Local Inte …

Paper Group ANR 1681

January 25, 2020

Learning ASR-Robust Contextualized Embeddings for Spoken Language Understanding. Autonomous Highway Driving using Deep Reinforcement Learning. Accelerometer-Based Gait Segmentation: Simultaneously User and Adversary Identification. A Commentary on “Breaking Row and Column Symmetries in Matrix Models”. Transfer Learning-Based Outdoor Position Recove …

Paper Group ANR 1682

January 25, 2020

LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks. A Comprehensive Performance Evaluation for 3D Transformation Estimation Techniques. Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks. Community-Level Anomaly Detection for Anti-Money Laundering. How is Your Mood When Writing Sexist tweets? …

Paper Group ANR 1684

January 25, 2020

Unsupervised Method to Localize Masses in Mammograms. Aligning Biomedical Metadata with Ontologies Using Clustering and Embeddings. Interpretable Text Classification Using CNN and Max-pooling. Time Series Imputation. Predicting Specificity in Classroom Discussion. Information Bottleneck and its Applications in Deep Learning. Segmentation is All You …

Paper Group ANR 1687

January 25, 2020

A Framework for Building Closed-Domain Chat Dialogue Systems. A Bulirsch-Stoer algorithm using Gaussian processes. Object detection on aerial imagery using CenterNet. Robust Synthesis of Adversarial Visual Examples Using a Deep Image Prior. Facial Micro-Expression Spotting and Recognition using Time Contrasted Feature with Visual Memory. Interval t …

Paper Group ANR 1689

January 25, 2020

Knowledge-Induced Learning with Adaptive Sampling Variational Autoencoders for Open Set Fault Diagnostics. Kernel-Based Ensemble Learning in Python. Combining Q&A Pair Quality and Question Relevance Features on Community-based Question Retrieval. Computation Reallocation for Object Detection. Deep Learning for Automated Classification and Character …

Paper Group ANR 1697

January 25, 2020

Finding Rats in Cats: Detecting Stealthy Attacks using Group Anomaly Detection. An adaptive stigmergy-based system for evaluating technological indicator dynamics in the context of smart specialization. Scanning Probe State Recognition With Multi-Class Neural Network Ensembles. Dimensionality Reduction of Complex Metastable Systems via Kernel Embed …

Paper Group ANR 1702

January 25, 2020

Robust Regression for Safe Exploration in Control. The Six Fronts of the Generative Adversarial Networks. Tools for Mathematical Ludology. General Probabilistic Surface Optimization and Log Density Estimation. Tensor Recovery from Noisy and Multi-Level Quantized Measurements. Predicting Discourse Structure using Distant Supervision from Sentiment. …

Paper Group ANR 1718

January 25, 2020

Spiking Neural Predictive Coding for Continual Learning from Data Streams. Detecting gender differences in perception of emotion in crowdsourced data. Transfer of Temporal Logic Formulas in Reinforcement Learning. Towards High-fidelity Nonlinear 3D Face Morphable Model. Hierarchical Bayesian myocardial perfusion quantification. Research and applica …