[PAPER]@Telematika

Awesome Open-Access Papers

Paper Group ANR 663
January 29, 2020

Paper Group ANR 663

Robust X-ray Sparse-view Phase Tomography via Hierarchical Synthesis Convolutional Neural Networks. Genetic Algorithms and the Traveling Salesman Problem a historical Review. The PRIMPing Routine – Tiling through Proximal Alternating Linearized Minimization. Black-box Adversarial ML Attack on Modulation Classification. PuckNet: Estimating hockey p …

Paper Group ANR 664

Paper Group ANR 664

January 29, 2020

Learning a Family of Optimal State-Feedback Controllers with Homotopy and Trajectory Optimisation. A Semi-Supervised Framework for Automatic Pixel-Wise Breast Cancer Grading of Histological Images. State-Regularized Recurrent Neural Networks. Embedding of FRPN in CNN architecture. DDNet: Cartesian-polar Dual-domain Network for the Joint Optic Disc …
Paper Group ANR 665

Paper Group ANR 665

January 29, 2020

Measurement-based Online Available Bandwidth Estimation employing Reinforcement Learning. HGC: Hierarchical Group Convolution for Highly Efficient Neural Network. Research Report on Automatic Synthesis of Local Search Neighborhood Operators. An Empirical Evaluation Study on the Training of SDC Features for Dense Pixel Matching. A Language-Agnostic …
Paper Group ANR 666

Paper Group ANR 666

January 29, 2020

Cross-task pre-training for acoustic scene classification. Connection Sensitive Attention U-NET for Accurate Retinal Vessel Segmentation. Circulant Binary Convolutional Networks: Enhancing the Performance of 1-bit DCNNs with Circulant Back Propagation. Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation. Clustering wit …
Paper Group ANR 667

Paper Group ANR 667

January 29, 2020

$c^+$GAN: Complementary Fashion Item Recommendation. Interpretable Classification of Time-Series Data using Efficient Enumerative Techniques. Generic Prediction Architecture Considering both Rational and Irrational Driving Behaviors. GeoNet: Deep Geodesic Networks for Point Cloud Analysis. WEnets: A Convolutional Framework for Evaluating Audio Wave …
Paper Group ANR 668

Paper Group ANR 668

January 29, 2020

Performance Dynamics and Termination Errors in Reinforcement Learning: A Unifying Perspective. Towards fully automated post-event data collection and analysis: pre-event and post-event information fusion. Learn to Segment Organs with a Few Bounding Boxes. Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization. Less is Mo …
Paper Group ANR 669

Paper Group ANR 669

January 29, 2020

On Architectures for Including Visual Information in Neural Language Models for Image Description. Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation. End-to-End Deep Neural Networks and Transfer Learning for Automatic Analysis of Nation-State Malware. A Regularized Convolutional Neural Network for Semantic Image Se …
Paper Group ANR 670

Paper Group ANR 670

January 29, 2020

Weak Supervision helps Emergence of Word-Object Alignment and improves Vision-Language Tasks. A comparison of apartment rent price prediction using a large dataset: Kriging versus DNN. Meta Learning with Relational Information for Short Sequences. The role of invariance in spectral complexity-based generalization bounds. W-Net: Two-stage U-Net with …
Paper Group ANR 671

Paper Group ANR 671

January 29, 2020

On-line learning dynamics of ReLU neural networks using statistical physics techniques. Virtual Ground Truth, and Pre-selection of 3D Interest Points for Improved Repeatability Evaluation of 2D Detectors. A new Backdoor Attack in CNNs by training set corruption without label poisoning. Kernel Mean Embedding of Instance-wise Predictions in Multiple …
Paper Group ANR 672

Paper Group ANR 672

January 29, 2020

Proposition d’une nouvelle approche d’extraction des motifs fermés fréquents. Detecting and Diagnosing Incipient Building Faults Using Uncertainty Information from Deep Neural Networks. EAT2seq: A generic framework for controlled sentence transformation without task-specific training. Sudden Death: A New Way to Compare Recommendation Diversificatio …
Paper Group ANR 673

Paper Group ANR 673

January 29, 2020

Machine Learning in/for Blockchain: Future and Challenges. Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER. Learning stochastic differential equations using RNN with log signature features. Multi-atlas image registration of clinical data with automated quality assessment using ventricle segment …
Paper Group ANR 674

Paper Group ANR 674

January 29, 2020

Are Bitcoins price predictable? Evidence from machine learning techniques using technical indicators. A Novel Approach to Enhance the Performance of Semantic Search in Bengali using Neural Net and other Classification Techniques. Kinetic Song Comprehension: Deciphering Personal Listening Habits via Phone Vibrations. Self-Paced Contextual Reinforcem …
Paper Group ANR 675

Paper Group ANR 675

January 29, 2020

Estimating the Mixing Time of Ergodic Markov Chains. Simultaneous Translation with Flexible Policy via Restricted Imitation Learning. Blind Visual Motif Removal from a Single Image. Introduction to Multi-Armed Bandits. Quantum Computation with Machine-Learning-Controlled Quantum Stuff. Regularizing Model-Based Planning with Energy-Based Models. Neu …
Paper Group ANR 676

Paper Group ANR 676

January 29, 2020

Context-aware Deep Model for Entity Recommendation in Search Engine at Alibaba. Low-Memory Neural Network Training: A Technical Report. GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment. VolMap: A Real-time Model for Semantic Segmentation of a LiDAR surrounding view. Imp …
Paper Group ANR 677

Paper Group ANR 677

January 29, 2020

Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification. Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs. EXIT Analysis for Community Detection. Learning Best Response Strategies for Agents in Ad Exchanges. Decentralized Multi-Agent Reinforcement Learning with Networked Agents: Recen …
Paper Group ANR 678

Paper Group ANR 678

January 29, 2020

Node Attribute Generation on Graphs. Normalizing Constant Estimation with Gaussianized Bridge Sampling. Unsupervised Feature Selection based on Adaptive Similarity Learning and Subspace Clustering. Learning to Infer Entities, Properties and their Relations from Clinical Conversations. Learning Graphs from Noisy Epidemic Cascades. Extracting Symptom …
Paper Group ANR 679

Paper Group ANR 679

January 29, 2020

Adaptive Statistical Learning with Bayesian Differential Privacy. Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions. Accelerated Target Updates for Q-learning. An Essay on Optimization Mystery of Deep Learning. Improved Adversarial Robustness by Reducing Open Space …
Paper Group ANR 680

Paper Group ANR 680

January 29, 2020

AREA: Adaptive Reference-set Based Evolutionary Algorithm for Multiobjective Optimisation. A Passage-Based Approach to Learning to Rank Documents. Analyzing Bias in Sensitive Personal Information Used to Train Financial Models. Faster polytope rounding, sampling, and volume computation via a sublinear “Ball Walk”. Trends in the optimal location and …
Paper Group ANR 681

Paper Group ANR 681

January 29, 2020

A Memetic Algorithm Based on Breakout Local Search for the Generalized Travelling Salesman Problem. Differentiable Combinatorial Losses through Generalized Gradients of Linear Programs. A mathematical model for universal semantics. Avaya Conversational Intelligence: A Real-Time System for Spoken Language Understanding in Human-Human Call Center Con …
Paper Group ANR 682

Paper Group ANR 682

January 29, 2020

Not Enough Data? Deep Learning to the Rescue!. Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars. FeCaffe: FPGA-enabled Caffe with OpenCL for Deep Learning Training and Inference on Intel Stratix 10. Massively Parallel Benders Decomposition for Correlation Clustering. Locally Linear Image Structural Embed …
Paper Group ANR 683

Paper Group ANR 683

January 29, 2020

Q-Search Trees: An Information-Theoretic Approach Towards Hierarchical Abstractions for Agents with Computational Limitations. Generative Continual Concept Learning. Development of a Robotic System for Automatic Wheel Removal and Fitting. Continual Learning of New Sound Classes using Generative Replay. Can Neural Networks Learn Symbolic Rewriting?. …
Paper Group ANR 684

Paper Group ANR 684

January 29, 2020

Generalizing Back-Translation in Neural Machine Translation. Learning an Uncertainty-Aware Object Detector for Autonomous Driving. An Analysis of Deep Neural Networks with Attention for Action Recognition from a Neurophysiological Perspective. DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs. Multimodal and Multi-vie …
Paper Group ANR 685

Paper Group ANR 685

January 29, 2020

A General Framework for Complex Network-Based Image Segmentation. Laplacian Smoothing Stochastic Gradient Markov Chain Monte Carlo. LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving. Predictability of diffusion-based recommender systems. Point Cloud Processing via Recurrent Set Encoding. Software Based Higher Order Stru …
Paper Group ANR 686

Paper Group ANR 686

January 29, 2020

A new measure of modularity density for community detection. Learning Rich Image Region Representation for Visual Question Answering. TDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion. Overlapping community detection in networks based on link partitioning and partitioning around me …
Paper Group ANR 687

Paper Group ANR 687

January 29, 2020

Optimization and Manipulation of Contextual Mutual Spaces for Multi-User Virtual and Augmented Reality Interaction. Capuchin: Causal Database Repair for Algorithmic Fairness. Simplex2Vec embeddings for community detection in simplicial complexes. Extraction of hierarchical functional connectivity components in human brain using resting-state fMRI. …
Paper Group ANR 688

Paper Group ANR 688

January 29, 2020

A Fast and Efficient Stochastic Opposition-Based Learning for Differential Evolution in Numerical Optimization. Learning neutrino effects in Cosmology with Convolutional Neural Networks. Asymptotics of MAP Inference in Deep Networks. A Random Interaction Forest for Prioritizing Predictive Biomarkers. Who, Where, and What to Wear? Extracting Fashion …
Paper Group ANR 689

Paper Group ANR 689

January 29, 2020

Differential equations as models of deep neural networks. Variational Autoencoder Trajectory Primitives with Continuous and Discrete Latent Codes. Physics-Informed Echo State Networks for Chaotic Systems Forecasting. Knowledge extraction from the learning of sequences in a long short term memory (LSTM) architecture. New Approach for Solving The Clu …
Paper Group ANR 690

Paper Group ANR 690

January 29, 2020

Adversarial View-Consistent Learning for Monocular Depth Estimation. Supervised Deep Neural Networks (DNNs) for Pricing/Calibration of Vanilla/Exotic Options Under Various Different Processes. Redistribution Mechanism on Networks. A Novel Multi-layer Framework for Tiny Obstacle Discovery. Solving Online Threat Screening Games using Constrained Acti …