[PAPER]@Telematika

Awesome Open-Access Papers

Paper Group ANR 240
April 2, 2020

Paper Group ANR 240

Disentangling Overlapping Beliefs by Structured Matrix Factorization. Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction. Variational Inference and Bayesian CNNs for Uncertainty Estimation in Multi-Factorial Bone Age Prediction. GradMix: Multi-source Transfer across Domains and Tasks. From Speech-to-Speech Translation to …

Paper Group ANR 241

Paper Group ANR 241

April 2, 2020

Convolutional Tensor-Train LSTM for Spatio-temporal Learning. SlideImages: A Dataset for Educational Image Classification. Text Complexity Classification Based on Linguistic Information: Application to Intelligent Tutoring of ESL. Multimodal Semantic Transfer from Text to Image. Fine-Grained Image Classification by Distributional Semantics. IPBoost …
Paper Group ANR 242

Paper Group ANR 242

April 2, 2020

Survey Bandits with Regret Guarantees. FoCL: Feature-Oriented Continual Learning for Generative Models. Revisiting Spatial Invariance with Low-Rank Local Connectivity. Utilizing Language Relatedness to improve Machine Translation: A Case Study on Languages of the Indian Subcontinent. Metaplasticity in Multistate Memristor Synaptic Networks. Using H …
Paper Group ANR 243

Paper Group ANR 243

April 2, 2020

Federated Visual Classification with Real-World Data Distribution. A Scalable Framework for Sparse Clustering Without Shrinkage. A Proof of Useful Work for Artificial Intelligence on the Blockchain. MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?. Implicitly Defined Layers in Neural Networks. Heterogeneity Loss to Handle Int …
Paper Group ANR 244

Paper Group ANR 244

April 2, 2020

Complexity Measures and Features for Times Series classification. Clustering based on Point-Set Kernel. StochasticRank: Global Optimization of Scale-Free Discrete Functions. ConBO: Conditional Bayesian Optimization. Applications of deep learning in stock market prediction: recent progress. Segmenting Unseen Industrial Components in a Heavy Clutter …
Paper Group ANR 245

Paper Group ANR 245

April 2, 2020

Communication-Efficient Distributed Deep Learning: A Comprehensive Survey. A Spike in Performance: Training Hybrid-Spiking Neural Networks with Quantized Activation Functions. Decision-Making with Auto-Encoding Variational Bayes. Stroke Constrained Attention Network for Online Handwritten Mathematical Expression Recognition. Joint Learning of Insta …
Paper Group ANR 246

Paper Group ANR 246

April 2, 2020

RetinaTrack: Online Single Stage Joint Detection and Tracking. Loss-annealed GAIL for sample efficient and stable Imitation Learning. Large-scale benchmark study of survival prediction methods using multi-omics data. Learning and Testing Variable Partitions. Rényi Entropy Bounds on the Active Learning Cost-Performance Tradeoff. Sequential Transfer …
Paper Group ANR 247

Paper Group ANR 247

April 2, 2020

Probabilistic Reasoning across the Causal Hierarchy. EDC3: Ensemble of Deep-Classifiers using Class-specific Copula functions to Improve Semantic Image Segmentation. Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network. Fashion Meets Computer Vision: A Survey. On Expert Behaviors and Question Types for Efficient Query-Based Ontol …
Paper Group ANR 248

Paper Group ANR 248

April 2, 2020

Bayesian Neural Architecture Search using A Training-Free Performance Metric. On the Sample Complexity of Adversarial Multi-Source PAC Learning. Efficiently Learning and Sampling Interventional Distributions from Observations. From Kinematics To Dynamics: Estimating Center of Pressure and Base of Support from Video Frames of Human Motion. Zeroth-Or …
Paper Group ANR 249

Paper Group ANR 249

April 2, 2020

Many-to-Many Voice Conversion using Conditional Cycle-Consistent Adversarial Networks. NCVis: Noise Contrastive Approach for Scalable Visualization. Matrix-LSTM: a Differentiable Recurrent Surface for Asynchronous Event-Based Data. MAC Protocol Design Optimization Using Deep Learning. The Rumour Mill: Making the Spread of Misinformation Explicit an …
Paper Group ANR 250

Paper Group ANR 250

April 2, 2020

Polarizing Front Ends for Robust CNNs. Distributed Reinforcement Learning for Cooperative Multi-Robot Object Manipulation. Exploring Visual Patterns in Projected Human and Machine Decision-Making Paths. Detection of Information Hiding at Anti-Copying 2D Barcodes. The Whole Is Greater Than the Sum of Its Nonrigid Parts. A Federated Learning Framewor …
Paper Group ANR 251

Paper Group ANR 251

April 2, 2020

Density-Aware Graph for Deep Semi-Supervised Visual Recognition. Shortest path distance approximation using deep learning techniques. COVID-19 Screening on Chest X-ray Images Using Deep Learning based Anomaly Detection. Grounded Situation Recognition. Bootstrapping Weakly Supervised Segmentation-free Word Spotting through HMM-based Alignment. Tenso …
Paper Group ANR 252

Paper Group ANR 252

April 2, 2020

Indoor Layout Estimation by 2D LiDAR and Camera Fusion. Off-policy Maximum Entropy Reinforcement Learning : Soft Actor-Critic with Advantage Weighted Mixture Policy(SAC-AWMP). MetNet: A Neural Weather Model for Precipitation Forecasting. Difference Attention Based Error Correction LSTM Model for Time Series Prediction. AirRL: A Reinforcement Learni …
Paper Group ANR 253

Paper Group ANR 253

April 2, 2020

A Deeper Look into Hybrid Images. A Survey on Edge Intelligence. Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs. A Semi-Dynamic Bus Routing Infrastructure based on MBTA Bus Data. Learning To Solve Differential Equations Across Initial Conditions. Analyzing the Noise Robustness of Deep Neural Networks. Computational Methods in Profe …
Paper Group ANR 254

Paper Group ANR 254

April 2, 2020

Approximation smooth and sparse functions by deep neural networks without saturation. Attentional networks for music generation. PaRoT: A Practical Framework for Robust Deep Neural Network Training. Taylor Expansion Policy Optimization. Enabling the Analysis of Personality Aspects in Recommender Systems. Learning to Simulate Human Movement. Weakly …
Paper Group ANR 255

Paper Group ANR 255

April 2, 2020

Chaotic Phase Synchronization and Desynchronization in an Oscillator Network for Object Selection. A Hybrid Residual Dilated LSTM end Exponential Smoothing Model for Mid-Term Electric Load Forecasting. Predicting Rate of Cognitive Decline at Baseline Using a Deep Neural Network with Multidata Analysis. Cybersecurity for Industrial Control Systems: …
Paper Group ANR 256

Paper Group ANR 256

April 2, 2020

Semi-Supervised Learning on Graphs with Feature-Augmented Graph Basis Functions. CMOS-Free Multilayer Perceptron Enabled by Four-Terminal MTJ Device. Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation. Optimising HEP parameter fits via Monte Carlo weight derivative regression. Modeling Uncertainty a …
Paper Group ANR 257

Paper Group ANR 257

April 2, 2020

Statistically Guided Divide-and-Conquer for Sparse Factorization of Large Matrix. Multi-Stream Networks and Ground-Truth Generation for Crowd Counting. “Why is ‘Chicago’ deceptive?” Towards Building Model-Driven Tutorials for Humans. Trees, forests, and impurity-based variable importance. Explaining the Explainer: A First Theoretical Analysis of LI …
Paper Group ANR 258

Paper Group ANR 258

April 2, 2020

Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors. A Differential-form Pullback Programming Language for Higher-order Reverse-mode Automatic Differentiation. sKPNSGA-II: Knee point based MOEA with self-adaptive angle for Mission Planning Problems. On the Discrepancy between Density Estimation …
Paper Group ANR 259

Paper Group ANR 259

April 2, 2020

Synaptic Integration of Spatiotemporal Features with a Dynamic Neuromorphic Processor. Ensemble of Sparse Gaussian Process Experts for Implicit Surface Mapping with Streaming Data. Bundle Adjustment on a Graph Processor. ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network. (Individual) Fairness for $k$-Clustering. A …
Paper Group ANR 260

Paper Group ANR 260

April 2, 2020

Representations of molecules and materials for interpolation of quantum-mechanical simulations via machine learning. Multilevel Acyclic Hypergraph Partitioning. Undersensitivity in Neural Reading Comprehension. Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels. Practical Fast Gradient Sign Attack a …
Paper Group ANR 261

Paper Group ANR 261

April 2, 2020

Weakly-Supervised Disentanglement Without Compromises. CAHPHF: Context-Aware Hierarchical QoS Prediction with Hybrid Filtering. Understanding and Optimizing Packed Neural Network Training for Hyper-Parameter Tuning. Ill-Posedness and Optimization Geometry for Nonlinear Neural Network Training. Learning Nonlinear Loop Invariants with Gated Continuou …
Paper Group ANR 262

Paper Group ANR 262

April 2, 2020

Causally Correct Partial Models for Reinforcement Learning. aiTPR: Attribute Interaction-Tensor Product Representation for Image Caption. On the Effectiveness of Richardson Extrapolation in Machine Learning. Understanding Crowd Behaviors in a Social Event by Passive WiFi Sensing and Data Mining. Policy Teaching via Environment Poisoning: Training-t …
Paper Group ANR 263

Paper Group ANR 263

April 2, 2020

Efficient Deep Reinforcement Learning through Policy Transfer. Addressing target shift in zero-shot learning using grouped adversarial learning. Towards Zero-shot Learning for Automatic Phonemic Transcription. Cognitive Argumentation and the Suppression Task. A Multi-criteria Approach for Fast and Outlier-aware Representative Selection from Manifol …
Paper Group ANR 264

Paper Group ANR 264

April 2, 2020

Distributed Embodied Evolution in Networks of Agents. On Catastrophic Interference in Atari 2600 Games. EPOS: Estimating 6D Pose of Objects with Symmetries. No-regret learning dynamics for extensive-form correlated and coarse correlated equilibria. Parallel Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints. Work i …
Paper Group ANR 265

Paper Group ANR 265

April 2, 2020

Time Series Data Augmentation for Deep Learning: A Survey. Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning. Assisted Learning and Imitation Privacy. LGVTON: A Landmark Guided Approach to Virtual Try-On. Statistical Queries and Statistical Algorithms: Foundations and Applications. Cor …
Paper Group ANR 266

Paper Group ANR 266

April 2, 2020

Scheduling in Cellular Federated Edge Learning with Importance and Channel Awareness. A Corrective View of Neural Networks: Representation, Memorization and Learning. Entity Extraction from Wikipedia List Pages. Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy. A survey on Semi-, Self- and Unsupervised Techniques in Ima …
Paper Group ANR 267

Paper Group ANR 267

April 2, 2020

Geometric Fusion via Joint Delay Embeddings. Spatio-temporal Tubelet Feature Aggregation and Object Linking in Videos. Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning. multi-patch aggregation models for resampling detection. Longitudinal Support Vector Machines for High Dimensional …