[PAPER]@Telematika

Awesome Open-Access Papers

Paper Group ANR 156
April 2, 2020

Paper Group ANR 156

Ordered Functional Decision Diagrams. On Thompson Sampling with Langevin Algorithms. Optimizing Coordinated Vehicle Platooning: An Analytical Approach Based on Stochastic Dynamic Programming. Federated Learning of a Mixture of Global and Local Models. Reliable Distributed Clustering with Redundant Data Assignment. PointNetKL: Deep Inference for GIC …

Paper Group ANR 157

Paper Group ANR 157

April 2, 2020

Fill in the BLANC: Human-free quality estimation of document summaries. Linguistically Driven Graph Capsule Network for Visual Question Reasoning. RSVQA: Visual Question Answering for Remote Sensing Data. A Novel Fuzzy Approximate Reasoning Method Based on Extended Distance Measure in SISO Fuzzy System. Personalized Federated Learning: A Meta-Learn …
Paper Group ANR 158

Paper Group ANR 158

April 2, 2020

Optimistic bounds for multi-output prediction. Learning Object Placements For Relational Instructions by Hallucinating Scene Representations. Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning. Deontological Ethics By Monotonicity Shape Constraints. Implementing Dynamic Answer Set Programming. A scheme for automatic differe …
Paper Group ANR 159

Paper Group ANR 159

April 2, 2020

Adversarial Multimodal Representation Learning for Click-Through Rate Prediction. Quantifying the relationship between student enrollment patterns and student performance. Demographic Bias in Biometrics: A Survey on an Emerging Challenge. A Time Series Approach To Player Churn and Conversion in Videogames. RN-VID: A Feature Fusion Architecture for …
Paper Group ANR 160

Paper Group ANR 160

April 2, 2020

Towards Universal Representation Learning for Deep Face Recognition. Second-Order Guarantees in Centralized, Federated and Decentralized Nonconvex Optimization. Social Media Attributions in the Context of Water Crisis. Propagating Asymptotic-Estimated Gradients for Low Bitwidth Quantized Neural Networks. Communication-Efficient Distributed SVD via …
Paper Group ANR 161

Paper Group ANR 161

April 2, 2020

Conditional Self-Attention for Query-based Summarization. Data-Driven Factor Graphs for Deep Symbol Detection. Composition of kernel and acquisition functions for High Dimensional Bayesian Optimization. A physics-informed feature engineering approach to use machine learning with limited amounts of data for alloy design: shape memory alloy demonstra …
Paper Group ANR 162

Paper Group ANR 162

April 2, 2020

Disentanglement with Hyperspherical Latent Spaces using Diffusion Variational Autoencoders. The Design of a Space-based Observation and Tracking System for Interstellar Objects. Distilled Semantics for Comprehensive Scene Understanding from Videos. Adaptive Stochastic Optimization. UNCC Biomedical Semantic Question Answering Systems. BioASQ: Task-7 …
Paper Group ANR 163

Paper Group ANR 163

April 2, 2020

Joint Multiclass Debiasing of Word Embeddings. Deep Reinforcement Learning for Complex Manipulation Tasks with Sparse Feedback. Constraining the recent star formation history of galaxies : an Approximate Bayesian Computation approach. Teacher-Student chain for efficient semi-supervised histology image classification. One Explanation Does Not Fit Al …
Paper Group ANR 164

Paper Group ANR 164

April 2, 2020

Cooperative Observation of Targets moving over a Planar Graph with Prediction of Positions. Optimal HDR and Depth from Dual Cameras. Video Face Super-Resolution with Motion-Adaptive Feedback Cell. Semi-supervised Learning via Conditional Rotation Angle Estimation. De-randomized PAC-Bayes Margin Bounds: Applications to Non-convex and Non-smooth Pred …
Paper Group ANR 165

Paper Group ANR 165

April 2, 2020

Adaptive exponential power distribution with moving estimator for nonstationary time series. Deep Technology Tracing for High-tech Companies. Scattering Features for Multimodal Gait Recognition. Towards Label-Free 3D Segmentation of Optical Coherence Tomography Images of the Optic Nerve Head Using Deep Learning. Correlated Feature Selection with Ex …
Paper Group ANR 166

Paper Group ANR 166

April 2, 2020

Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and Society. Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable Selection. Learning Near Optimal Policies with Low Inherent Bellman Error. Monte Carlo Anti-Differentiation for Approximate Weighted Model Integration. Bridge the Domain Gap Betwe …
Paper Group ANR 167

Paper Group ANR 167

April 2, 2020

Learn to Forget: User-Level Memorization Elimination in Federated Learning. A GAN-based Tunable Image Compression System. AdvectiveNet: An Eulerian-Lagrangian Fluidic reservoir for Point Cloud Processing. Novel Change of Measure Inequalities and PAC-Bayesian Bounds. Rethinking Bias-Variance Trade-off for Generalization of Neural Networks. Spherical …
Paper Group ANR 168

Paper Group ANR 168

April 2, 2020

A Multilingual View of Unsupervised Machine Translation. Lost in Embedding Space: Explaining Cross-Lingual Task Performance with Eigenvalue Divergence. Suphx: Mastering Mahjong with Deep Reinforcement Learning. Equivalence of Dataflow Graphs via Rewrite Rules Using a Graph-to-Sequence Neural Model. Segmentation of Cellular Patterns in Confocal Imag …
Paper Group ANR 169

Paper Group ANR 169

April 2, 2020

Voxel-Based Indoor Reconstruction From HoloLens Triangle Meshes. Motif Difference Field: A Simple and Effective Image Representation of Time Series for Classification. Deep Reinforcement Learning for Autonomous Driving: A Survey. Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers. Unconstrained Bi …
Paper Group ANR 170

Paper Group ANR 170

April 2, 2020

RoutedFusion: Learning Real-time Depth Map Fusion. Automated Anonymisation of Visual and Audio Data in Classroom Studies. VideoSSL: Semi-Supervised Learning for Video Classification. Peeking into occluded joints: A novel framework for crowd pose estimation. Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals. Towa …
Paper Group ANR 171

Paper Group ANR 171

April 2, 2020

Theoretical Interpretation of Learned Step Size in Deep-Unfolded Gradient Descent. Locally Private Hypothesis Selection. Assembling Semantically-Disentangled Representations for Predictive-Generative Models via Adaptation from Synthetic Domain. Deepfakes for Medical Video De-Identification: Privacy Protection and Diagnostic Information Preservation …
Paper Group ANR 172

Paper Group ANR 172

April 2, 2020

Neural Human Video Rendering by Learning Dynamic Textures and Rendering-to-Video Translation. Detecting Changes in Asset Co-Movement Using the Autoencoder Reconstruction Ratio. Multilingual Denoising Pre-training for Neural Machine Translation. Provable Self-Play Algorithms for Competitive Reinforcement Learning. Hierarchical Multi-Process Fusion f …
Paper Group ANR 173

Paper Group ANR 173

April 2, 2020

Uncertainty Quantification for Bayesian Optimization. Multi-Source Deep Domain Adaptation for Quality Control in Retail Food Packaging. DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding. The Indian Chefs Process. A Novel Twitter Sentiment Analysis Model with Baseline Correlation for Financial Market Prediction with Improve …
Paper Group ANR 174

Paper Group ANR 174

April 2, 2020

Unsupervised Domain Adaptation Through Transferring both the Source-Knowledge and Target-Relatedness Simultaneously. Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation. Self-Supervised Fast Adaptation for Denoising via Meta-Learning. A Collaborative Learning Framework via Federated …
Paper Group ANR 175

Paper Group ANR 175

April 2, 2020

Multilingual Alignment of Contextual Word Representations. Spatio-Temporal Graph for Video Captioning with Knowledge Distillation. Object-Oriented Video Captioning with Temporal Graph and Prior Knowledge Building. Spatio-Temporal Ranked-Attention Networks for Video Captioning. LSCP: Enhanced Large Scale Colloquial Persian Language Understanding. Ro …
Paper Group ANR 176

Paper Group ANR 176

April 2, 2020

Syn2Real: Forgery Classification via Unsupervised Domain Adaptation. Large Hole Image Inpainting With Compress-Decompression Network. SF-Net: Single-Frame Supervision for Temporal Action Localization. Weakly-Supervised Multi-Person Action Recognition in 360$^{\circ}$ Videos. Action Graphs: Weakly-supervised Action Localization with Graph Convolutio …
Paper Group ANR 177

Paper Group ANR 177

April 2, 2020

REST: Performance Improvement of a Black Box Model via RL-based Spatial Transformation. Fully-automated Body Composition Analysis in Routine CT Imaging Using 3D Semantic Segmentation Convolutional Neural Networks. Transfer between long-term and short-term memory using Conceptors. Unbalanced GANs: Pre-training the Generator of Generative Adversarial …
Paper Group ANR 178

Paper Group ANR 178

April 2, 2020

Device Heterogeneity in Federated Learning: A Superquantile Approach. Two Tier Prediction of Stroke Using Artificial Neural Networks and Support Vector Machines. Unsupervised Pixel-level Road Defect Detection via Adversarial Image-to-Frequency Transform. Backward Feature Correction: How Deep Learning Performs Deep Learning. Spectral Clustering Revi …
Paper Group ANR 179

Paper Group ANR 179

April 2, 2020

Distributionally Robust Chance Constrained Programming with Generative Adversarial Networks (GANs). Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis. On the Compressibility of Affinely Singular Random Vectors. Neuron Shapley: Discovering the Responsible Neurons. MSE-Optimal Neural Network Initializat …
Paper Group ANR 180

Paper Group ANR 180

April 2, 2020

Few-shot Learning with Multi-scale Self-supervision. A Machine Learning Imaging Core using Separable FIR-IIR Filters. Histogram Layers for Texture Analysis. Deep Semantic Face Deblurring. Radiomic feature selection for lung cancer classifiers. On Learning Sets of Symmetric Elements. Motion Deblurring using Spatiotemporal Phase Aperture Coding. Semi …
Paper Group ANR 181

Paper Group ANR 181

April 2, 2020

Product Kanerva Machines: Factorized Bayesian Memory. CTM: Collaborative Temporal Modeling for Action Recognition. Machine Unlearning: Linear Filtration for Logit-based Classifiers. A Hoeffding Inequality for Finite State Markov Chains and its Applications to Markovian Bandits. Blur, Noise, and Compression Robust Generative Adversarial Networks. Bi …
Paper Group ANR 182

Paper Group ANR 182

April 2, 2020

Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders. Maximal Causes for Exponential Family Observables. Experimental Comparison of Global Motion Planning Algorithms for Wheeled Mobile Robots. Sub-Goal Trees – a Framework for Goal-Based Reinforcement Learning. STAViS: Spatio-Temporal AudioVisual Saliency Network. Multi …
Paper Group ANR 183

Paper Group ANR 183

April 2, 2020

PolyScientist: Automatic Loop Transformations Combined with Microkernels for Optimization of Deep Learning Primitives. Privacy-Preserving Boosting in the Local Setting. DA4AD: End-to-end Deep Attention Aware Features Aided Visual Localization for Autonomous Driving. Learning from Small Data Through Sampling an Implicit Conditional Generative Latent …