[PAPER]@Telematika

Awesome Open-Access Papers

Paper Group ANR 128
April 2, 2020

Paper Group ANR 128

Time-aware Large Kernel Convolutions. Symmetry Detection of Occluded Point Cloud Using Deep Learning. Deep Blind Video Super-resolution. ROSE: Real One-Stage Effort to Detect the Fingerprint Singular Point Based on Multi-scale Spatial Attention. EgoMap: Projective mapping and structured egocentric memory for Deep RL. Relevant-features based Auxilia …

Paper Group ANR 129

Paper Group ANR 129

April 2, 2020

Metaphoric Paraphrase Generation. Integrating Acting, Planning and Learning in Hierarchical Operational Models. Distributed function estimation: adaptation using minimal communication. The Engagement-Diversity Connection: Evidence from a Field Experiment on Spotify. TrojanNet: Embedding Hidden Trojan Horse Models in Neural Networks. Model Reuse wit …
Paper Group ANR 130

Paper Group ANR 130

April 2, 2020

A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI. Deep Learning for MIR Tutorial. Cost-aware Bayesian Optimization. A Bounded Measure for Estimating the Benefit of Visualization. Dialectal Layers in West Iranian: a Hierarchical Dirichlet Process Approach to Linguistic Relationships. Learning Shape Representations for Clothing Variat …
Paper Group ANR 131

Paper Group ANR 131

April 2, 2020

FlexiBO: Cost-Aware Multi-Objective Optimization of Deep Neural Networks. Joint Event Extraction along Shortest Dependency Paths using Graph Convolutional Networks. Optimizing Revenue while showing Relevant Assortments at Scale. Classification of Hyperspectral and LiDAR Data Using Coupled CNNs. Differential Dynamic Programming Neural Optimizer. Ill …
Paper Group ANR 132

Paper Group ANR 132

April 2, 2020

PanNuke Dataset Extension, Insights and Baselines. Efficient exploration of zero-sum stochastic games. Statistical Learning with Conditional Value at Risk. DeepCP: Deep Learning Driven Cascade Prediction Based Autonomous Content Placement in Closed Social Network. Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Reco …
Paper Group ANR 133

Paper Group ANR 133

April 2, 2020

Parallel 3DPIFCM Algorithm for Noisy Brain MRI Images. Causal Learning by a Robot with Semantic-Episodic Memory in an Aesop’s Fable Experiment. Fast Kernel k-means Clustering Using Incomplete Cholesky Factorization. PDE-based Group Equivariant Convolutional Neural Networks. Automating the Generation of High School Geometry Proofs using Prolog in an …
Paper Group ANR 134

Paper Group ANR 134

April 2, 2020

HAN-ECG: An Interpretable Atrial Fibrillation Detection Model Using Hierarchical Attention Networks. Learning word-referent mappings and concepts from raw inputs. Learning functions varying along an active subspace. Mirrored Autoencoders with Simplex Interpolation for Unsupervised Anomaly Detection. Deep connections between learning from limited la …
Paper Group ANR 135

Paper Group ANR 135

April 2, 2020

Generate High-Resolution Adversarial Samples by Identifying Effective Features. Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification. Communication Efficient Sparsification for Large Scale Machine Learning. Semantic Search of Memes on Twitter. Transformer++. Soft-Root-Sign Activation Function. Modeling Future Cost for N …
Paper Group ANR 136

Paper Group ANR 136

April 2, 2020

Geocoding of trees from street addresses and street-level images. Variational Dropout Sparsification for Particle Identification speed-up. Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning. Pruning Neural Belief Propagation Decoders. Is my Neural Network Neuromorphic? Taxonomy, Recent Trends and Future Directi …
Paper Group ANR 137

Paper Group ANR 137

April 2, 2020

Unsupervised Denoising for Satellite Imagery using Wavelet Subband CycleGAN. Multi-scale domain-adversarial multiple-instance CNN for cancer subtype classification with non-annotated histopathological images. Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks. A hybrid model based on deep LSTM for predi …
Paper Group ANR 138

Paper Group ANR 138

April 2, 2020

Convolutional Spectral Kernel Learning. Online Continual Learning on Sequences. Triple Memory Networks: a Brain-Inspired Method for Continual Learning. An ASP semantics for Constraints involving Conditional Aggregates. Prototype Refinement Network for Few-Shot Segmentation. Directions for Explainable Knowledge-Enabled Systems. DVNet: A Memory-Effic …
Paper Group ANR 139

Paper Group ANR 139

April 2, 2020

Deep Learning for Biomedical Image Reconstruction: A Survey. Sequence-to-Sequence Imputation of Missing Sensor Data. Human Action Performance using Deep Neuro-Fuzzy Recurrent Attention Model. Understanding the Decision Boundary of Deep Neural Networks: An Empirical Study. A deep network for sinogram and CT image reconstruction. Visual Question Answ …
Paper Group ANR 140

Paper Group ANR 140

April 2, 2020

Multi-factorial Optimization for Large-scale Virtual Machine Placement in Cloud Computing. Coreset-based Strategies for Robust Center-type Problems. Towards Federated Learning: Robustness Analytics to Data Heterogeneity. A Two-Stream Meticulous Processing Network for Retinal Vessel Segmentation. Evolutionary Approach to Collectible Card Game Arena …
Paper Group ANR 141

Paper Group ANR 141

April 2, 2020

Plane Pair Matching for Efficient 3D View Registration. Generating Digital Twins with Multiple Sclerosis Using Probabilistic Neural Networks. Towards Modular Algorithm Induction. Improved Subsampled Randomized Hadamard Transform for Linear SVM. Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder. Two-stage Discrim …
Paper Group ANR 142

Paper Group ANR 142

April 2, 2020

Structures of Spurious Local Minima in $k$-means. On Certifying Robustness against Backdoor Attacks via Randomized Smoothing. LAXARY: A Trustworthy Explainable Twitter Analysis Model for Post-Traumatic Stress Disorder Assessment. HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset. Attentive Item2Vec: Neural Attentive User Representatio …
Paper Group ANR 143

Paper Group ANR 143

April 2, 2020

What can robotics research learn from computer vision research?. How to choose the most appropriate centrality measure?. Data Parallelism in Training Sparse Neural Networks. Image Embedded Segmentation: Combining Supervised and Unsupervised Objectives through Generative Adversarial Networks. Modeling and Counteracting Exposure Bias in Recommender S …
Paper Group ANR 144

Paper Group ANR 144

April 2, 2020

TTDM: A Travel Time Difference Model for Next Location Prediction. Rat big, cat eaten! Ideas for a useful deep-agent protolanguage. Probabilistic forecasting approaches for extreme NO$_2$ episodes: a comparison of models. Interference Classification Using Deep Neural Networks. A Distributionally Robust Area Under Curve Maximization Model. Support-w …
Paper Group ANR 145

Paper Group ANR 145

April 2, 2020

FastPET: Near Real-Time PET Reconstruction from Histo-Images Using a Neural Network. Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective. Toward Low-Cost and Stable Blockchain Networks. A Novel Image Dehazing and Assessment Method. Deep-Learning-Enabled Simulated Annealing for Topology Optimizat …
Paper Group ANR 146

Paper Group ANR 146

April 2, 2020

A Neural-embedded Choice Model: TasteNet-MNL Modeling Taste Heterogeneity with Flexibility and Interpretability. Exploiting Temporal Coherence for Multi-modal Video Categorization. Objective Mismatch in Model-based Reinforcement Learning. Towards Stabilizing Batch Statistics in Backward Propagation of Batch Normalization. On the Complexity of Minim …
Paper Group ANR 147

Paper Group ANR 147

April 2, 2020

A Hybrid Approach to Dependency Parsing: Combining Rules and Morphology with Deep Learning. Utilizing Human Memory Processes to Model Genre Preferences for Personalized Music Recommendations. Evolutionary algorithms for constructing an ensemble of decision trees. Combining SchNet and SHARC: The SchNarc machine learning approach for excited-state dy …
Paper Group ANR 148

Paper Group ANR 148

April 2, 2020

Image denoising via K-SVD with primal-dual active set algorithm. XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning. Joint Reasoning for Multi-Faceted Commonsense Knowledge. Inflammatory Bowel Disease Biomarkers of Human Gut Microbiota Selected via Ensemble Feature Selection Methods. Training a U-Net based o …
Paper Group ANR 149

Paper Group ANR 149

April 2, 2020

A Classification-Based Approach to Semi-Supervised Clustering with Pairwise Constraints. Learning to See Analogies: A Connectionist Exploration. Vox2Vox: 3D-GAN for Brain Tumour Segmentation. DeLTra: Deep Light Transport for Projector-Camera Systems. Stable variation in multidimensional competition. Submodular Rank Aggregation on Score-based Permut …
Paper Group ANR 150

Paper Group ANR 150

April 2, 2020

Cross-Resolution Adversarial Dual Network for Person Re-Identification and Beyond. Towards Precise Intra-camera Supervised Person Re-identification. Label Noise Types and Their Effects on Deep Learning. Person Re-identification by Contour Sketch under Moderate Clothing Change. Convolutional Neural Networks based Focal Loss for Class Imbalance Probl …
Paper Group ANR 151

Paper Group ANR 151

April 2, 2020

Methods of Adaptive Signal Processing on Graphs Using Vertex-Time Autoregressive Models. Unsupervised Multiple Person Tracking using AutoEncoder-Based Lifted Multicuts. BS-NAS: Broadening-and-Shrinking One-Shot NAS with Searchable Numbers of Channels. Creating High Resolution Images with a Latent Adversarial Generator. Zero-shot and few-shot time s …
Paper Group ANR 152

Paper Group ANR 152

April 2, 2020

A Light Field Camera Calibration Method Using Sub-Aperture Related Bipartition Projection Model and 4D Corner Detection. Preventing Clean Label Poisoning using Gaussian Mixture Loss. Point Spread Function Modelling for Wide Field Small Aperture Telescopes with a Denoising Autoencoder. Generative Modeling with Denoising Auto-Encoders and Langevin Sa …
Paper Group ANR 153

Paper Group ANR 153

April 2, 2020

Graph Convolutional Auto-encoder with Bi-decoder and Adaptive-sharing Adjacency. Dynamic Graph Correlation Learning for Disease Diagnosis with Incomplete Labels. Modular Simulation Framework for Process Variation Analysis of MRAM-based Deep Belief Networks. Citation Recommendation: Approaches and Datasets. DAF-NET: a saliency based weakly supervise …
Paper Group ANR 154

Paper Group ANR 154

April 2, 2020

Traffic Data Imputation using Deep Convolutional Neural Networks. Explainable $k$-Means and $k$-Medians Clustering. Multi-objective Neural Architecture Search via Non-stationary Policy Gradient. Efficient Neural Architecture Search: A Broad Version. Upper Confidence Primal-Dual Optimization: Stochastically Constrained Markov Decision Processes with …
Paper Group ANR 155

Paper Group ANR 155

April 2, 2020

Foreground model recognition through Neural Networks for CMB B-mode observations. Exploring User Opinions of Fairness in Recommender Systems. Fair Correlation Clustering. Constrained Upper Confidence Reinforcement Learning. Learning Diverse Fashion Collocation by Neural Graph Filtering. Prior Knowledge Driven Label Embedding for Slot Filling in Nat …