[PAPER]@Telematika

Awesome Open-Access Papers

Paper Group ANR 1083
January 27, 2020

Paper Group ANR 1083

Learning to Generalize from Sparse and Underspecified Rewards. Malware Detection Using Dynamic Birthmarks. Deep Learning Algorithms to Isolate and Quantify the Structures of the Anterior Segment in Optical Coherence Tomography Images. Teaching deep neural networks to localize sources in super-resolution microscopy by combining simulation-based lear …

Paper Group ANR 1084

Paper Group ANR 1084

January 27, 2020

Concatenated Feature Pyramid Network for Instance Segmentation. Fine-Grained Visual Recognition with Batch Confusion Norm. Point-less: More Abstractive Summarization with Pointer-Generator Networks. Tightly Coupled 3D Lidar Inertial Odometry and Mapping. Coarse2Fine: A Two-stage Training Method for Fine-grained Visual Classification. Few-shot Learn …
Paper Group ANR 1085

Paper Group ANR 1085

January 27, 2020

Composing Neural Algorithms with Fugu. Capturing Object Detection Uncertainty in Multi-Layer Grid Maps. Towards automated symptoms assessment in mental health. Deep Neural Networks with Auxiliary-Model Regulated Gating for Resilient Multi-Modal Sensor Fusion. BayesNAS: A Bayesian Approach for Neural Architecture Search. Polynomial Neural Networks a …
Paper Group ANR 1086

Paper Group ANR 1086

January 27, 2020

VITAMIN-E: VIsual Tracking And MappINg with Extremely Dense Feature Points. Energy-Based Continuous Inverse Optimal Control. AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data. Neural Network Based Parameter Estimation Method for the Pareto/NBD Model. Compressing GANs using Knowledge Distillation. …
Paper Group ANR 1087

Paper Group ANR 1087

January 27, 2020

Adversarial VC-dimension and Sample Complexity of Neural Networks. Deep Q Learning Driven CT Pancreas Segmentation with Geometry-Aware U-Net. Quantum algorithm for finding the negative curvature direction in non-convex optimization. MDS-Net: A Model-Driven Stack-Based Fully Convolutional Network for Pancreas Segmentation. Prospection: Interpretable …
Paper Group ANR 1088

Paper Group ANR 1088

January 27, 2020

Convergence Rates of Gradient Descent and MM Algorithms for Generalized Bradley-Terry Models. Geodesic Distance Estimation with Spherelets. Analysis of high-dimensional Continuous Time Markov Chains using the Local Bouncy Particle Sampler. Differentiable Algorithm Networks for Composable Robot Learning. Universal Transforming Geometric Network. Rel …
Paper Group ANR 1089

Paper Group ANR 1089

January 27, 2020

Floor-SP: Inverse CAD for Floorplans by Sequential Room-wise Shortest Path. Learning Modular Safe Policies in the Bandit Setting with Application to Adaptive Clinical Trials. Exploiting Sentential Context for Neural Machine Translation. A unified view on differential privacy and robustness to adversarial examples. A Review on Quantile Regression fo …
Paper Group ANR 1090

Paper Group ANR 1090

January 27, 2020

K-nn active learning under local smoothness condition. Fully Parallel Hyperparameter Search: Reshaped Space-Filling. Learning to Control Latent Representations for Few-Shot Learning of Named Entities. Superintelligence Safety: A Requirements Engineering Perspective. Toward Sensor-based Sleep Monitoring with Electrodermal Activity Measures. Imagined …
Paper Group ANR 1091

Paper Group ANR 1091

January 27, 2020

Bayesian causal inference via probabilistic program synthesis. Visual Confusion Label Tree For Image Classification. Efficient Toxicity Prediction via Simple Features Using Shallow Neural Networks and Decision Trees. Learning to Rank Broad and Narrow Queries in E-Commerce. Amortized Rejection Sampling in Universal Probabilistic Programming. Princip …
Paper Group ANR 1092

Paper Group ANR 1092

January 27, 2020

Brain Network Construction and Classification Toolbox (BrainNetClass). Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale. Revealing posturographic features associated with the risk of falling in patients with Parkinsonian syndromes via machine learning. Learning High-fidelity Light Field Images From Hybrid Inputs. ArduC …
Paper Group ANR 1093

Paper Group ANR 1093

January 27, 2020

The FacT: Taming Latent Factor Models for Explainability with Factorization Trees. Semi-Supervised First-Person Activity Recognition in Body-Worn Video. Artificial Intelligence for Prosthetics - challenge solutions. Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational Data. What do Deep Networks Like to …
Paper Group ANR 1094

Paper Group ANR 1094

January 27, 2020

General Information Bottleneck Objectives and their Applications to Machine Learning. Structured Group Local Sparse Tracker. Decentralized Online Learning: Take Benefits from Others’ Data without Sharing Your Own to Track Global Trend. DeepRMSA: A Deep Reinforcement Learning Framework for Routing, Modulation and Spectrum Assignment in Elastic Optic …
Paper Group ANR 1095

Paper Group ANR 1095

January 27, 2020

Recent Advances in Deep Learning for Object Detection. Vision-to-Language Tasks Based on Attributes and Attention Mechanism. HA-CCN: Hierarchical Attention-based Crowd Counting Network. Learn to Compress CSI and Allocate Resources in Vehicular Networks. Multimodal Transformer with Multi-View Visual Representation for Image Captioning. Dialogue Act …
Paper Group ANR 1096

Paper Group ANR 1096

January 27, 2020

Are Outlier Detection Methods Resilient to Sampling?. Practical Semantic Parsing for Spoken Language Understanding. Generative Well-intentioned Networks. Monocular 3D Sway Tracking for Assessing Postural Instability in Cerebral Hypoperfusion During Quiet Standing. Learning Perceptual Inference by Contrasting. Pushing the Frontiers of Unconstrained …
Paper Group ANR 1097

Paper Group ANR 1097

January 27, 2020

Reasoning Over Paragraph Effects in Situations. Characterization and Development of Average Silhouette Width Clustering. An Extensible and Personalizable Multi-Modal Trip Planner. On the Adversarial Robustness of Subspace Learning. Fair quantile regression. Generative Guiding Block: Synthesizing Realistic Looking Variants Capable of Even Large Chan …
Paper Group ANR 1098

Paper Group ANR 1098

January 27, 2020

Better Approximate Inference for Partial Likelihood Models with a Latent Structure. Communication Complexity of Estimating Correlations. On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms. Derived Codebooks for High-Accuracy Nearest Neighbor Search. A SOT-MRAM-based Processing-In-Memory Engine for Highly Compressed …
Paper Group ANR 1099

Paper Group ANR 1099

January 27, 2020

Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations. Variance Reduction for Matrix Games. A Long-Short Demands-Aware Model for Next-Item Recommendation. A Linear-complexity Multi-biometric Forensic Document Analysis System, by Fusing the Stylome and Signature Modalities. Enhancing Learnability of classification algorithms …
Paper Group ANR 1100

Paper Group ANR 1100

January 27, 2020

Gradient-Aware Model-based Policy Search. Quantifying the alignment of graph and features in deep learning. Incremental Visual-Inertial 3D Mesh Generation with Structural Regularities. On the Need for Topology-Aware Generative Models for Manifold-Based Defenses. Closing the gap towards end-to-end autonomous vehicle system. Quantified Constraint Han …
Paper Group ANR 1101

Paper Group ANR 1101

January 27, 2020

Dynamical Triangulation Induced by Quantum Walk. Transition Subspace Learning based Least Squares Regression for Image Classification. Joint Detection of Malicious Domains and Infected Clients. SVM-based Deep Stacking Networks. Action Modifiers: Learning from Adverbs in Instructional Videos. Design of optical neural networks with component imprecis …
Paper Group ANR 1102

Paper Group ANR 1102

January 27, 2020

The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure For Least Squares. Column generation for the discrete Unit Commitment problem with min-stop ramping constraints. Automated Circuit Approximation Method Driven by Data Distribution. Deep Bayesian Unsupervised Source Separation Based on a Complex Gaussian Mixture …
Paper Group ANR 1103

Paper Group ANR 1103

January 27, 2020

Dixit: Interactive Visual Storytelling via Term Manipulation. Confidential Deep Learning: Executing Proprietary Models on Untrusted Devices. MTJ-Based Hardware Synapse Design for Quantized Deep Neural Networks. Predict Emoji Combination with Retrieval Strategy. Model-Based and Data-Driven Strategies in Medical Image Computing. SOSNet: Second Order …
Paper Group ANR 1104

Paper Group ANR 1104

January 27, 2020

Statistical significance in high-dimensional linear mixed models. High Resolution Forecasting of Heat Waves impacts on Leaf Area Index by Multiscale Multitemporal Deep Learning. How to Eliminate Detour Behaviors in E-hailing? Real-time Detecting and Time-dependent Pricing. Learning Domain Invariant Representations for Child-Adult Classification fro …
Paper Group ANR 1105

Paper Group ANR 1105

January 27, 2020

Benchmarking Surrogate-Assisted Genetic Recommender Systems. Text classification with pixel embedding. Frequentist Consistency of Gaussian Process Regression. Stochasticity and Robustness in Spiking Neural Networks. Benchmarking the Robustness of Semantic Segmentation Models. Two Birds, One Stone: A Simple, Unified Model for Text Generation from St …
Paper Group ANR 1106

Paper Group ANR 1106

January 27, 2020

Look Further to Recognize Better: Learning Shared Topics and Category-Specific Dictionaries for Open-Ended 3D Object Recognition. Efficient data augmentation using graph imputation neural networks. Multiple Futures Prediction. Best-First Width Search for Multi Agent Privacy-preserving Planning. Deterministic and Bayesian Neural Networks for Low-lat …
Paper Group ANR 1107

Paper Group ANR 1107

January 27, 2020

Barcodes as summary of objective function’s topology. Random Quadratic Forms with Dependence: Applications to Restricted Isometry and Beyond. Artificial Intelligence: the global landscape of ethics guidelines. Investigating Writing Style Development in High School. Developing Computational Models of Social Assistance to Guide Socially Assistive Rob …
Paper Group ANR 1108

Paper Group ANR 1108

January 27, 2020

Bayesian optimization in ab initio nuclear physics. “Mask and Infill” : Applying Masked Language Model to Sentiment Transfer. A Gaussian process latent force model for joint input-state estimation in linear structural systems. Deep Learning based HEp-2 Image Classification: A Comprehensive Review. Multi-layered Spiking Neural Network with Target Ti …
Paper Group ANR 1109

Paper Group ANR 1109

January 27, 2020

A novel algorithm for segmentation of leukocytes in peripheral blood. Making Classical Machine Learning Pipelines Differentiable: A Neural Translation Approach. Efficient Adversarial Training with Transferable Adversarial Examples. Visual Rhythm Prediction with Feature-Aligning Network. Long-Range Indoor Navigation with PRM-RL. Quantum Expectation- …
Paper Group ANR 1110

Paper Group ANR 1110

January 27, 2020

6D Object Pose Estimation Based on 2D Bounding Box. Distributed Submodular Minimization via Block-Wise Updates and Communications. Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets. A Multimodal Deep Network for the Reconstruction of T2W MR Images. Towards a New Understanding of the Training of Neural Networks with Mislabe …