[PAPER]@Telematika

Awesome Open-Access Papers

Paper Group ANR 355
January 30, 2020

Paper Group ANR 355

Reducing Transformer Depth on Demand with Structured Dropout. White-Box Evaluation of Fingerprint Matchers: Robustness to Minutiae Perturbations. Towards Robust RGB-D Human Mesh Recovery. Recovery of binary sparse signals from compressed linear measurements via polynomial optimization. Invariance-Preserving Localized Activation Functions for Graph …

Paper Group ANR 356

Paper Group ANR 356

January 30, 2020

MolecularRNN: Generating realistic molecular graphs with optimized properties. Deep Fitting Degree Scoring Network for Monocular 3D Object Detection. Voice command generation using Progressive Wavegans. A survey on acoustic sensing. Group-Connected Multilayer Perceptron Networks. Contrastive Reasons Detection and Clustering from Online Polarized De …
Paper Group ANR 357

Paper Group ANR 357

January 30, 2020

Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation. Metamorphic Testing for Object Detection Systems. Deep Multi-Task Learning for Anomalous Driving Detection Using CAN Bus Scalar Sensor Data. Inferring linear and nonlinear Interaction networks using neighborhood support vec …
Paper Group ANR 358

Paper Group ANR 358

January 30, 2020

A Weighted Functional Object-Oriented Network for Task Planning. Facility Location Problem with Capacity Constraints: Algorithmic and Mechanism Design Perspectives. Effective Integration of Symbolic and Connectionist Approaches through a Hybrid Representation. Software-defined Design Space Exploration for an Efficient DNN Accelerator Architecture. …
Paper Group ANR 359

Paper Group ANR 359

January 30, 2020

Towards Precise End-to-end Weakly Supervised Object Detection Network. Event-based attention and tracking on neuromorphic hardware. A Dual-Staged Context Aggregation Method Towards Efficient End-To-End Speech Enhancement. Self-adaptive Potential-based Stopping Criteria for Particle Swarm Optimization. Automatically Evaluating Balance: A Machine Lea …
Paper Group ANR 360

Paper Group ANR 360

January 30, 2020

On Learning Disentangled Representations for Gait Recognition. Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic Consolidation. A Graph-Based Machine Learning Approach for Bot Detection. When Collaborative Filtering Meets Reinforcement Learning. Inferring Dynamic Representations of Facial Actions from a St …
Paper Group ANR 361

Paper Group ANR 361

January 30, 2020

SANVis: Visual Analytics for Understanding Self-Attention Networks. Compositional Generalization in Image Captioning. Causality and Bayesian network PDEs for multiscale representations of porous media. Attention-based Fusion for Outfit Recommendation. Bilinear Bandits with Low-rank Structure. Transfer Reward Learning for Policy Gradient-Based Text …
Paper Group ANR 362

Paper Group ANR 362

January 30, 2020

Articulatory and bottleneck features for speaker-independent ASR of dysarthric speech. Situational Grounding within Multimodal Simulations. The invisible power of fairness. How machine learning shapes democracy. Why we need an AI-resilient society. Benign Overfitting in Linear Regression. When Does Non-Orthogonal Tensor Decomposition Have No Spurio …
Paper Group ANR 363

Paper Group ANR 363

January 30, 2020

Water Distribution System Design Using Multi-Objective Particle Swarm Optimisation. Causal statistical modeling and calculation of distribution functions of classification features. Can Attention Masks Improve Adversarial Robustness?. Speaker diarisation using 2D self-attentive combination of embeddings. Modeling Food Popularity Dependencies using …
Paper Group ANR 364

Paper Group ANR 364

January 30, 2020

Evaluating model calibration in classification. Multi Sense Embeddings from Topic Models. Evaluating Topic Quality with Posterior Variability. Conditional Finite Mixtures of Poisson Distributions for Context-Dependent Neural Correlations. A realistic and robust model for Chinese word segmentation. A Seq-to-Seq Transformer Premised Temporal Convolut …
Paper Group ANR 365

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 366

Paper Group ANR 366

January 30, 2020

Corpus-Level End-to-End Exploration for Interactive Systems. Automatic Driver Identification from In-Vehicle Network Logs. Aspect Detection using Word and Char Embeddings with (Bi)LSTM and CRF. Decentralised Multi-Demic Evolutionary Approach to the Dynamic Multi-Agent Travelling Salesman Problem. TG-PSM: Tunable Greedy Packet Sequence Morphing Base …
Paper Group ANR 367

Paper Group ANR 367

January 30, 2020

Remote UAV Online Path Planning via Neural Network Based Opportunistic Control. A Joint Learning and Communications Framework for Federated Learning over Wireless Networks. Super-Resolution of Brain MRI Images using Overcomplete Dictionaries and Nonlocal Similarity. An MDL-Based Classifier for Transactional Datasets with Application in Malware Dete …
Paper Group ANR 368

Paper Group ANR 368

January 30, 2020

Semantic Segmentation of Thigh Muscle using 2.5D Deep Learning Network Trained with Limited Datasets. Inverse Path Tracing for Joint Material and Lighting Estimation. Deep Bayesian Multi-Target Learning for Recommender Systems. Generative Tensor Network Classification Model for Supervised Machine Learning. Encoders and Decoders for Quantum Expander …
Paper Group ANR 369

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 370

Paper Group ANR 370

January 30, 2020

Lifelog Patterns Analyzation using Graph Embedding based on Deep Neural Network. Probabilistic Forecasting using Deep Generative Models. Detection and Mitigation of Rare Subclasses in Neural Network Classifiers. Sharp Guarantees for Solving Random Equations with One-Bit Information. Go From the General to the Particular: Multi-Domain Translation wi …
Paper Group ANR 371

Paper Group ANR 371

January 30, 2020

Mediation Challenges and Socio-Technical Gaps for Explainable Deep Learning Applications. Using Causal Analysis to Learn Specifications from Task Demonstrations. Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classification. Hyperspectral and multispectral image fusion under spectrally varying spatial blurs – Application to …
Paper Group ANR 372

Paper Group ANR 372

January 30, 2020

Big Data Approaches to Knot Theory: Understanding the Structure of the Jones Polynomial. Rumour Detection via News Propagation Dynamics and User Representation Learning. Causal Regularization. Jacobian Policy Optimizations. Reading Comprehension Ability Test-A Turing Test for Reading Comprehension. Identity Connections in Residual Nets Improve Nois …
Paper Group ANR 373

Paper Group ANR 373

January 30, 2020

Scene Induced Multi-Modal Trajectory Forecasting via Planning. A Facial Affect Analysis System for Autism Spectrum Disorder. Fast LLMMSE filter for low-dose CT imaging. Curriculum Learning for Deep Generative Models with Clustering. Machine Learning Inter-Atomic Potentials Generation Driven by Active Learning: A Case Study for Amorphous and Liquid …
Paper Group ANR 374

Paper Group ANR 374

January 30, 2020

A feasibility study of deep neural networks for the recognition of banknotes regarding central bank requirements. Detecting F-formations & Roles in Crowded Social Scenes with Wearables: Combining Proxemics & Dynamics using LSTMs. Guarantees for Sound Abstractions for Generalized Planning (Extended Paper). A Data Driven Approach to Learning The Hami …
Paper Group ANR 375

Paper Group ANR 375

January 30, 2020

An Algorithm for Approximating Continuous Functions on Compact Subsets with a Neural Network with one Hidden Layer. On Norm-Agnostic Robustness of Adversarial Training. Homogeneous Linear Inequality Constraints for Neural Network Activations. Quantum Inflation: A General Approach to Quantum Causal Compatibility. Scalable Reinforcement-Learning-Base …
Paper Group ANR 376

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 377

Paper Group ANR 377

January 30, 2020

Influences in Forecast Errors for Wind and Photovoltaic Power: A Study on Machine Learning Models. Cascade RetinaNet: Maintaining Consistency for Single-Stage Object Detection. Diversity in Fashion Recommendation using Semantic Parsing. Anti-Confusing: Region-Aware Network for Human Pose Estimation. Minimax Weight and Q-Function Learning for Off-Po …
Paper Group ANR 378

Paper Group ANR 378

January 30, 2020

Speaker-Targeted Audio-Visual Models for Speech Recognition in Cocktail-Party Environments. The Regularization of Small Sub-Constraint Satisfaction Problems. Passed & Spurious: Descent Algorithms and Local Minima in Spiked Matrix-Tensor Models. Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency. Variational bridge constr …
Paper Group ANR 379

Paper Group ANR 379

January 30, 2020

Automatic Target Detection for Sparse Hyperspectral Images. A Unified Deep Learning Formalism For Processing Graph Signals. Awareness of Voter Passion Greatly Improves the Distortion of Metric Social Choice. Defending Against Adversarial Attacks Using Random Forests. AgentBuddy: A Contextual Bandit based Decision Support System for Customer Support …
Paper Group ANR 380

Paper Group ANR 380

January 30, 2020

Detecting Driveable Area for Autonomous Vehicles. Hierarchical Meta Learning. Deep Q-Learning for Same-Day Delivery with a Heterogeneous Fleet of Vehicles and Drones. Policy Learning for Malaria Control. Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning Problem. Deep Learning Training with Simulated Approximate Mult …
Paper Group ANR 381

Paper Group ANR 381

January 30, 2020

An Improved Convergence Analysis of Stochastic Variance-Reduced Policy Gradient. FusionMapping: Learning Depth Prediction with Monocular Images and 2D Laser Scans. Identify the cells’ nuclei based on the deep learning neural network. The Query Translation Landscape: a Survey. CopyCAT: Taking Control of Neural Policies with Constant Attacks. Differe …
Paper Group ANR 382

Paper Group ANR 382

January 30, 2020

Consider ethical and social challenges in smart grid research. Discussion of “The Blessings of Multiple Causes” by Wang and Blei. Single Image Deblurring and Camera Motion Estimation with Depth Map. Sentiment and Sarcasm Classification with Multitask Learning. Ensemble Teaching for Hybrid Label Propagation. Probabilistic sequential matrix factoriza …