[PAPER]@Telematika

Awesome Open-Access Papers

Paper Group ANR 170
January 31, 2020

Paper Group ANR 170

On Data-Selective Learning. Hotel Recommendation System. Temporally-Biased Sampling Schemes for Online Model Management. Input-Output Equivalence of Unitary and Contractive RNNs. Supervised learning improves disease outbreak detection. Adaptive Sequence Submodularity. HEMELB Acceleration and Visualization for Cerebral Aneurysms. Motorway Traffic Fl …

Paper Group ANR 171

Paper Group ANR 171

January 31, 2020

An Axiomatic Approach to Regularizing Neural Ranking Models. Dense RepPoints: Representing Visual Objects with Dense Point Sets. Opportunities for artificial intelligence in advancing precision medicine. A Neurally-Inspired Hierarchical Prediction Network for Spatiotemporal Sequence Learning and Prediction. Neural Review Rating Prediction with Hier …
Paper Group ANR 172

Paper Group ANR 172

January 31, 2020

Hierarchical stochastic neighbor embedding as a tool for visualizing the encoding capability of magnetic resonance fingerprinting dictionaries. Learning to Answer Ambiguous Questions with Knowledge Graph. Designing nanophotonic structures using conditional-deep convolutional generative adversarial networks. RinQ Fingerprinting: Recurrence-informed …
Paper Group ANR 173

Paper Group ANR 173

January 31, 2020

Estimation of Tire-Road Friction for Road Vehicles: a Time Delay Neural Network Approach. Sample Complexity Lower Bounds for Linear System Identification. Self-Paced Probabilistic Principal Component Analysis for Data with Outliers. Sequence Labeling Parsing by Learning Across Representations. How Large Are Lions? Inducing Distributions over Quanti …
Paper Group ANR 174

Paper Group ANR 174

January 31, 2020

MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics. Spectral Analysis Of Weighted Laplacians Arising In Data Clustering. Neural Network Based Explicit MPC for Chemical Reactor Control. Generative Adversarial Networks: recent developments. A Review of Stochastic Block Models and Ext …
Paper Group ANR 175

Paper Group ANR 175

January 31, 2020

GANkyoku: a Generative Adversarial Network for Shakuhachi Music. Multi-level Gated Recurrent Neural Network for Dialog Act Classification. Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks. TransGaGa: Geometry-Aware Unsupervised Image-to-Image Translation. Context-aware Neural-based Dialog Act Classification on …
Paper Group ANR 176

Paper Group ANR 176

January 31, 2020

Look, Listen, and Act: Towards Audio-Visual Embodied Navigation. Modeling Human Motion with Quaternion-based Neural Networks. Two Way Adversarial Unsupervised Word Translation. Meta-Learning of Neural Architectures for Few-Shot Learning. HRGE-Net: Hierarchical Relational Graph Embedding Network for Multi-view 3D Shape Recognition. SGD on Neural Net …
Paper Group ANR 177

Paper Group ANR 177

January 31, 2020

A HVS-inspired Attention to Improve Loss Metrics for CNN-based Perception-Oriented Super-Resolution. Privacy-Preserving Action Recognition using Coded Aperture Videos. Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification. Qini-based Uplift Regression. Interaction is necessary for distributed learning with priv …
Paper Group ANR 178

Paper Group ANR 178

January 31, 2020

Curvature-Exploiting Acceleration of Elastic Net Computations. Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization. Unsupervised Deep Learning for Ultra-reliable and Low-latency Communications. Bayesian Network Models for Incomplete and Dynamic Data. Syntactic Recurrent Neural Network for Authorship Attribution. Gaussian …
Paper Group ANR 179

Paper Group ANR 179

January 31, 2020

Align, Mask and Select: A Simple Method for Incorporating Commonsense Knowledge into Language Representation Models. Boundary Cues for 3D Object Shape Recovery. Quantum Structure in Cognition: Human Language as a Boson Gas of Entangled Words. Learning gradient-based ICA by neurally estimating mutual information. DIALOG: A framework for modeling, an …
Paper Group ANR 18

Paper Group ANR 18

January 31, 2020

Extracting Factual Min/Max Age Information from Clinical Trial Studies. Approximation of the objective insensitivity regions using Hierarchic Memetic Strategy coupled with Covariance Matrix Adaptation Evolutionary Strategy. Optimizing Speech Recognition For The Edge. Offline Writer Identification based on the Path Signature Feature. Bayesian Optimi …
Paper Group ANR 180

Paper Group ANR 180

January 31, 2020

Exploring Context, Attention and Audio Features for Audio Visual Scene-Aware Dialog. Leveraging Topics and Audio Features with Multimodal Attention for Audio Visual Scene-Aware Dialog. Studying Software Engineering Patterns for Designing Machine Learning Systems. Co-Evolutionary Compression for Unpaired Image Translation. Order Optimal One-Shot Dis …
Paper Group ANR 181

Paper Group ANR 181

January 31, 2020

Prudence When Assuming Normality: an advice for machine learning practitioners. Shoestring: Graph-Based Semi-Supervised Learning with Severely Limited Labeled Data. Delta-training: Simple Semi-Supervised Text Classification using Pretrained Word Embeddings. Bayesian Optimized 1-Bit CNNs. STEFANN: Scene Text Editor using Font Adaptive Neural Network …
Paper Group ANR 182

Paper Group ANR 182

January 31, 2020

Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation. Question Answering for Privacy Policies: Combining Computational and Legal Perspectives. Hybrid Block Successive Approximation for One-Sided Non-Convex Min-Max Problems: Algorithms and Applications. GreyReID: A Two-stream Deep Framework with RGB-grey Information f …
Paper Group ANR 183

Paper Group ANR 183

January 31, 2020

Data Centers Job Scheduling with Deep Reinforcement Learning. Predicting Lake Erie Wave Heights using XGBoost. Exploiting Fast Decaying and Locality in Multi-Agent MDP with Tree Dependence Structure. On Semi-Supervised Multiple Representation Behavior Learning. Verifying Robustness of Gradient Boosted Models. Solving Markov Decision Processes with …
Paper Group ANR 184

Paper Group ANR 184

January 31, 2020

Differentiable Sparsification for Deep Neural Networks. Gated neural networks for implied volatility surfaces. Effective Network Compression Using Simulation-Guided Iterative Pruning. AutoEncoders for Training Compact Deep Learning RF Classifiers for Wireless Protocols. Transformer Based Reinforcement Learning For Games. Turing-Completeness of Dyna …
Paper Group ANR 185

Paper Group ANR 185

January 31, 2020

Thermostatic control for demand response using distributed averaging and deep neural networks. Composable Core-sets for Determinant Maximization: A Simple Near-Optimal Algorithm. A Causal Perspective to Unbiased Conversion Rate Estimation on Data Missing Not at Random. Discriminative Clustering for Robust Unsupervised Domain Adaptation. Representat …
Paper Group ANR 186

Paper Group ANR 186

January 31, 2020

Probabilistic Kernel Support Vector Machines. Learning Generative Models across Incomparable Spaces. Geometric Interpretation of side-sharing and point-sharing solutions in the P3P Problem. Text Analysis in Adversarial Settings: Does Deception Leave a Stylistic Trace?. Recovering from Biased Data: Can Fairness Constraints Improve Accuracy?. Generat …
Paper Group ANR 187

Paper Group ANR 187

January 31, 2020

Affine Variational Autoencoders: An Efficient Approach for Improving Generalization and Robustness to Distribution Shift. Towards Computational Models and Applications of Insect Visual Systems for Motion Perception: A Review. StyleRemix: An Interpretable Representation for Neural Image Style Transfer. Cascaded Context Pyramid for Full-Resolution 3D …
Paper Group ANR 188

Paper Group ANR 188

January 31, 2020

A linear method for camera pair self-calibration and multi-view reconstruction with geometrically verified correspondences. A Novel Unsupervised Post-Processing Calibration Method for DNNS with Robustness to Domain Shift. Evidential distance measure in complex belief function theory. Discovering Options for Exploration by Minimizing Cover Time. Agi …
Paper Group ANR 189

Paper Group ANR 189

January 31, 2020

A Comprehensive Benchmark for Single Image Compression Artifacts Reduction. A Policy Editor for Semantic Sensor Networks. Dense Recurrent Neural Networks for Inverse Problems: History-Cognizant Unrolling of Optimization Algorithms. Customized OCT images compression scheme with deep neural network. Statistical learnability of nuclear masses. Concord …
Paper Group ANR 19

Paper Group ANR 19

January 31, 2020

Deep Distribution Regression. Universal Inference Using the Split Likelihood Ratio Test. Normalizing flows for novelty detection in industrial time series data. Natural Vocabulary Emerges from Free-Form Annotations. Neural Shape Parsers for Constructive Solid Geometry. Local Differential Privacy in Decentralized Optimization. Identifiability of Gau …
Paper Group ANR 190

Paper Group ANR 190

January 31, 2020

An LP-Based Approach for Goal Recognition as Planning. Human Following for Wheeled Robot with Monocular Pan-tilt Camera. A Temporal Clustering Algorithm for Achieving the trade-off between the User Experience and the Equipment Economy in the Context of IoT. Video-based Bottleneck Detection utilizing Lagrangian Dynamics in Crowded Scenes. Federated …
Paper Group ANR 191

Paper Group ANR 191

January 31, 2020

Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion. Preference-based Multiobjective Virtual Machine Placement: A Ceteris Paribus Approach. Efficient Motion Planning for Automated Lane Change based on Imitation Learning and Mixed-Integer Optimization. Named Entity Recognition for Electronic Health Records: A Comparison of Rule-base …
Paper Group ANR 192

Paper Group ANR 192

January 31, 2020

Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response. Quantifying Exposure Bias for Neural Language Generation. An Investigation Into On-device Personalization of End-to-end Automatic Speech Recognition Models. Exploiting semi-supervised training through a dropout regularization in end-to-end speech recogn …
Paper Group ANR 193

Paper Group ANR 193

January 31, 2020

Continual Learning via Online Leverage Score Sampling. Parallel Iterative Edit Models for Local Sequence Transduction. Quantitative $W_1$ Convergence of Langevin-Like Stochastic Processes with Non-Convex Potential and State-Dependent Noise. Approaching Small Molecule Prioritization as a Cross-Modal Information Retrieval Task through Coordinated Rep …
Paper Group ANR 194

Paper Group ANR 194

January 31, 2020

Bias Remediation in Driver Drowsiness Detection systems using Generative Adversarial Networks. Deep Coarse-to-fine Dense Light Field Reconstruction with Flexible Sampling and Geometry-aware Fusion. Biomedical Mention Disambiguation using a Deep Learning Approach. Efficiency and Scalability of Multi-Lane Capsule Networks (MLCN). Using Chinese Glyphs …
Paper Group ANR 195

Paper Group ANR 195

January 31, 2020

Malware Detection using Machine Learning and Deep Learning. Reconstructing Perceived Images from Brain Activity by Visually-guided Cognitive Representation and Adversarial Learning. Adaptive Deep Kernel Learning. Towards Interpretable Sparse Graph Representation Learning with Laplacian Pooling. Leveraging binding-site structure for drug discovery w …