[PAPER]@Telematika

Awesome Open-Access Papers

Paper Group ANR 35
April 3, 2020

Paper Group ANR 35

Feature-Driven Super-Resolution for Object Detection. Single Channel Speech Enhancement Using Temporal Convolutional Recurrent Neural Networks. Region Proposal Network with Graph Prior and IoU-Balance Loss for Landmark Detection in 3D Ultrasound. VQA-LOL: Visual Question Answering under the Lens of Logic. Quantum Computing Assisted Deep Learning fo …

Paper Group ANR 36

Paper Group ANR 36

April 3, 2020

Crowdsourced Classification with XOR Queries: Fundamental Limits and An Efficient Algorithm. Reliability Validation of Learning Enabled Vehicle Tracking. Effects of sparse rewards of different magnitudes in the speed of learning of model-based actor critic methods. Sentiment Analysis in Drug Reviews using Supervised Machine Learning Algorithms. Ada …
Paper Group ANR 37

Paper Group ANR 37

April 3, 2020

Bayesian Reasoning with Deep-Learned Knowledge. Using News Articles and Financial Data to predict the likelihood of bankruptcy. Dataless Model Selection with the Deep Frame Potential. Memory-Constrained No-Regret Learning in Adversarial Bandits. Digital Collaborator: Augmenting Task Abstraction in Visualization Design with Artificial Intelligence. …
Paper Group ANR 38

Paper Group ANR 38

April 3, 2020

Towards Real-time Mispronunciation Detection in Kids’ Speech. The Operating System of the Neuromorphic BrainScaleS-1 System. Lipreading using Temporal Convolutional Networks. Learning Similarity Metrics for Numerical Simulations. Non-dimensional Star-Identification. Improving Training on Noisy Stuctured Labels. Disentangling Image Distortions in De …
Paper Group ANR 39

Paper Group ANR 39

April 3, 2020

Physics Informed Deep Learning for Transport in Porous Media. Buckley Leverett Problem. Super-efficiency of automatic differentiation for functions defined as a minimum. End-to-end Emotion-Cause Pair Extraction via Learning to Link. Recurrent Dirichlet Belief Networks for Interpretable Dynamic Relational Data Modelling. Interpretable and Fair Compa …
Paper Group ANR 4

Paper Group ANR 4

April 3, 2020

Action Quality Assessment using Siamese Network-Based Deep Metric Learning. Machines Learn Appearance Bias in Face Recognition. Kinetic Theory for Residual Neural Networks. Understanding the Power and Limitations of Teaching with Imperfect Knowledge. Local intrinsic dimensionality estimators based on concentration of measure. On Coresets for Suppor …
Paper Group ANR 40

Paper Group ANR 40

April 3, 2020

Probabilistic learning of boolean functions applied to the binary classification problem with categorical covariates. Using wavelets to analyze similarities in image datasets. Overall error analysis for the training of deep neural networks via stochastic gradient descent with random initialisation. k-means++: few more steps yield constant approxima …
Paper Group ANR 41

Paper Group ANR 41

April 3, 2020

Predicting Personalized Academic and Career Roads: First Steps Toward a Multi-Uses Recommender System. Improved Robust ASR for Social Robots in Public Spaces. How Good is the Bayes Posterior in Deep Neural Networks Really?. A Better Variant of Self-Critical Sequence Training. A Lobster-inspired Robotic Glove for Hand Rehabilitation. On the Resilien …
Paper Group ANR 42

Paper Group ANR 42

April 3, 2020

Optimized Feature Space Learning for Generating Efficient Binary Codes for Image Retrieval. SOLAR: Second-Order Loss and Attention for Image Retrieval. GIQA: Generated Image Quality Assessment. Evaluation of Rounding Functions in Nearest-Neighbor Interpolation. Traffic Modelling and Prediction via Symbolic Regression on Road Sensor Data. Embedding …
Paper Group ANR 43

Paper Group ANR 43

April 3, 2020

Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning. Zero-Shot Cross-Lingual Transfer with Meta Learning. Private Mean Estimation of Heavy-Tailed Distributions. Guided Constrained Policy Optimization for Dynamic Quadrupedal Robot Locomotion. PAC-Bayesian Meta-learning with Implicit Prior. How to Solve Fair $k$-Center in Massive Data …
Paper Group ANR 44

Paper Group ANR 44

April 3, 2020

Deep Learning Approach to Diabetic Retinopathy Detection. Conditional Channel Gated Networks for Task-Aware Continual Learning. An Empirical Study of Person Re-Identification with Attributes. Safety-Aware Hardening of 3D Object Detection Neural Network Systems. Convergence of a Stochastic Gradient Method with Momentum for Nonsmooth Nonconvex Optimi …
Paper Group ANR 45

Paper Group ANR 45

April 3, 2020

Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms. Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning. Closing the convergence gap of SGD without replacement. BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models. Image-to-image Neural Network for Additi …
Paper Group ANR 46

Paper Group ANR 46

April 3, 2020

Zero-Shot Reinforcement Learning with Deep Attention Convolutional Neural Networks. Estimating heterogeneous treatment effects with right-censored data via causal survival forests. MDEA: Malware Detection with Evolutionary Adversarial Learning. Plausible Counterfactuals: Auditing Deep Learning Classifiers with Realistic Adversarial Examples. Kidney …
Paper Group ANR 47

Paper Group ANR 47

April 3, 2020

Piecewise linear activations substantially shape the loss surfaces of neural networks. Mixed integer programming formulation of unsupervised learning. Zooming for Efficient Model-Free Reinforcement Learning in Metric Spaces. Stochasticity in Neural ODEs: An Empirical Study. FiniteNet: A Fully Convolutional LSTM Network Architecture for Time-Depende …
Paper Group ANR 48

Paper Group ANR 48

April 3, 2020

Diagonal Preconditioning: Theory and Algorithms. BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method. Toward Cross-Domain Speech Recognition with End-to-End Models. Unity Style Transfer for Person Re-Identification. Recommendation on a Budget: Column Space Recovery from Partially Observed Entries with Random …
Paper Group ANR 49

Paper Group ANR 49

April 3, 2020

Large Scale Many-Objective Optimization Driven by Distributional Adversarial Networks. Text-based inference of moral sentiment change. Conjugate-gradient-based Adam for stochastic optimization and its application to deep learning. Non-Asymptotic Bounds for Zeroth-Order Stochastic Optimization. Human-to-Robot Attention Transfer for Robot Execution F …
Paper Group ANR 5

Paper Group ANR 5

April 3, 2020

Be Like Water: Robustness to Extraneous Variables Via Adaptive Feature Normalization. BB_Evac: Fast Location-Sensitive Behavior-Based Building Evacuation. AE-OT-GAN: Training GANs from data specific latent distribution. Optimal Confidence Regions for the Multinomial Parameter. Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domai …
Paper Group ANR 50

Paper Group ANR 50

April 3, 2020

MANet: Multimodal Attention Network based Point- View fusion for 3D Shape Recognition. Curvature Regularized Surface Reconstruction from Point Cloud. Highly Efficient Salient Object Detection with 100K Parameters. Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA. Preparation of ordered states in ultra-cold …
Paper Group ANR 51

Paper Group ANR 51

April 3, 2020

Motivic clustering schemes for directed graphs. Shallow2Deep: Indoor Scene Modeling by Single Image Understanding. The Two Regimes of Deep Network Training. Automated Configuration of Negotiation Strategies. Disrupting Resilient Criminal Networks through Data Analysis: The case of Sicilian Mafia. Theory inspired deep network for instantaneous-frequ …
Paper Group ANR 52

Paper Group ANR 52

April 3, 2020

Learning to Inpaint by Progressively Growing the Mask Regions. Deep Slow Motion Video Reconstruction with Hybrid Imaging System. Hybrid Embedded Deep Stacked Sparse Autoencoder with w_LPPD SVM Ensemble. DotFAN: A Domain-transferred Face Augmentation Network for Pose and Illumination Invariant Face Recognition. A Connection between Feedback Capacity …
Paper Group ANR 53

Paper Group ANR 53

April 3, 2020

MODRL/D-AM: Multiobjective Deep Reinforcement Learning Algorithm Using Decomposition and Attention Model for Multiobjective Optimization. Minimum entropy production in multipartite processes due to neighborhood constraints. GISNet: Graph-Based Information Sharing Network For Vehicle Trajectory Prediction. A Multi-Modal States based Vehicle Descript …
Paper Group ANR 54

Paper Group ANR 54

April 3, 2020

Unique Properties of Wide Minima in Deep Networks. The Big Three: A Methodology to Increase Data Science ROI by Answering the Questions Companies Care About. Learning Flat Latent Manifolds with VAEs. Detecting Replay Attacks Using Multi-Channel Audio: A Neural Network-Based Method. Recovering Geometric Information with Learned Texture Perturbations …
Paper Group ANR 55

Paper Group ANR 55

April 3, 2020

Infinite-Horizon Differentiable Model Predictive Control. The Past and Present of Imitation Learning: A Citation Chain Study. 1D CNN Based Network Intrusion Detection with Normalization on Imbalanced Data. Survey of Network Intrusion Detection Methods from the Perspective of the Knowledge Discovery in Databases Process. Asynchronous Policy Evaluati …
Paper Group ANR 56

Paper Group ANR 56

April 3, 2020

Learning Probabilistic Intersection Traffic Models for Trajectory Prediction. Deep compositional robotic planners that follow natural language commands. A mean-field theory of lazy training in two-layer neural nets: entropic regularization and controlled McKean-Vlasov dynamics. Exploiting Event Cameras for Spatio-Temporal Prediction of Fast-Changin …
Paper Group ANR 57

Paper Group ANR 57

April 3, 2020

Automating Representation Discovery with MAP-Elites. TIME: A Transparent, Interpretable, Model-Adaptive and Explainable Neural Network for Dynamic Physical Processes. Accelerating Psychometric Screening Tests With Bayesian Active Differential Selection. Logistic Regression Regret: What’s the Catch?. Task-adaptive Asymmetric Deep Cross-modal Hashing …
Paper Group ANR 58

Paper Group ANR 58

April 3, 2020

PIC: Permutation Invariant Convolution for Recognizing Long-range Activities. Games Where You Can Play Optimally with Finite Memory. Complete Dictionary Learning via $\ell_p$-norm Maximization. Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program). Distal Explanations for Explainable Reinfor …
Paper Group ANR 59

Paper Group ANR 59

April 3, 2020

Predicting drug properties with parameter-free machine learning: Pareto-Optimal Embedded Modeling (POEM). Towards Accurate Scene Text Recognition with Semantic Reasoning Networks. The Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics. PixelHop++: A Small Successive-Subspace-Learning-Based …
Paper Group ANR 6

Paper Group ANR 6

April 3, 2020

Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification. Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions. Review of Probability Distributions for Modeling Count Data. Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction. Atlas …