[PAPER]@Telematika

Awesome Open-Access Papers

Paper Group ANR 299
January 30, 2020

Paper Group ANR 299

Minimizing Perceived Image Quality Loss Through Adversarial Attack Scoping. Learn to Allocate Resources in Vehicular Networks. Adversarial Attacks against Deep Saliency Models. A Machine Learning Approach to Comment Toxicity Classification. SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction. Deep Clos …

Paper Group ANR 300

Paper Group ANR 300

January 30, 2020

Partner Approximating Learners (PAL): Simulation-Accelerated Learning with Explicit Partner Modeling in Multi-Agent Domains. How a minimal learning agent can infer the existence of unobserved variables in a complex environment. Do Lateral Views Help Automated Chest X-ray Predictions?. Variable Population Memetic Search: A Case Study on the Critical …
Paper Group ANR 301

Paper Group ANR 301

January 30, 2020

RadiX-Net: Structured Sparse Matrices for Deep Neural Networks. Temporal and Aspectual Entailment. Projectron – A Shallow and Interpretable Network for Classifying Medical Images. Justification-Based Reliability in Machine Learning. Improving Limited Angle CT Reconstruction with a Robust GAN Prior. Literature Review: Human Segmentation with Static …
Paper Group ANR 302

Paper Group ANR 302

January 30, 2020

Restricted Linearized Augmented Lagrangian Method for Euler’s Elastica Model. Hybrid Physical-Deep Learning Model for Astronomical Inverse Problems. Extracting Interpretable Concept-Based Decision Trees from CNNs. To See in the Dark: N2DGAN for Background Modeling in Nighttime Scene. Towards Explainable Music Emotion Recognition: The Route via Mid- …
Paper Group ANR 303

Paper Group ANR 303

January 30, 2020

RPC: A Large-Scale Retail Product Checkout Dataset. A machine learning method correlating pulse pressure wave data with pregnancy. Representation Learning on Unit Ball with 3D Roto-Translational Equivariance. Towards a General Model of Knowledge for Facial Analysis by Multi-Source Transfer Learning. Automatic Hierarchical Classification of Kelps us …
Paper Group ANR 304

Paper Group ANR 304

January 30, 2020

Geodesic Learning via Unsupervised Decision Forests. Fine-grained Qualitative Spatial Reasoning about Point Positions. Synthetic Defocus and Look-Ahead Autofocus for Casual Videography. ANTIQUE: A Non-Factoid Question Answering Benchmark. Feature-driven Improvement of Renewable Energy Forecasting and Trading. Robust Opponent Modeling via Adversaria …
Paper Group ANR 305

Paper Group ANR 305

January 30, 2020

Multimodal Subspace Support Vector Data Description. RAD: On-line Anomaly Detection for Highly Unreliable Data. TSRNet: Scalable 3D Surface Reconstruction Network for Point Clouds using Tangent Convolution. PZnet: Efficient 3D ConvNet Inference on Manycore CPUs. Theory of Minds: Understanding Behavior in Groups Through Inverse Planning. Free-riders …
Paper Group ANR 306

Paper Group ANR 306

January 30, 2020

FastEstimator: A Deep Learning Library for Fast Prototyping and Productization. Generic Primitive Detection in Point Clouds Using Novel Minimal Quadric Fits. Brain correlates of task-load and dementia elucidation with tensor machine learning using oddball BCI paradigm. Dynamic Multi-path Neural Network. Promotion of Answer Value Measurement with Do …
Paper Group ANR 307

Paper Group ANR 307

January 30, 2020

MM Algorithms for Distance Covariance based Sufficient Dimension Reduction and Sufficient Variable Selection. Annealing for Distributed Global Optimization. Langevin Monte Carlo without smoothness. Saliency Methods for Explaining Adversarial Attacks. TiK-means: $K$-means clustering for skewed groups. A Machine Learning Model for Long-Term Power Gen …
Paper Group ANR 308

Paper Group ANR 308

January 30, 2020

Model Bridging: To Interpretable Simulation Model From Neural Network. Generalised Zero-Shot Learning with a Classifier Ensemble over Multi-Modal Embedding Spaces. PaintBot: A Reinforcement Learning Approach for Natural Media Painting. Where Are We? Using Scopus to Map the Literature at the Intersection Between Artificial Intelligence and Crime. Mu …
Paper Group ANR 309

Paper Group ANR 309

January 30, 2020

Knowledge Adaptation for Efficient Semantic Segmentation. SampleFix: Learning to Correct Programs by Sampling Diverse Fixes. Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity. Optimal Experiment Design in Nonlinear Parameter Estimation with Exact Confidence Regions. Unde …
Paper Group ANR 310

Paper Group ANR 310

January 30, 2020

A review on ranking problems in statistical learning. Cognitive Analysis of 360 degree Surround Photos. Cooperative Training of Fast Thinking Initializer and Slow Thinking Solver for Multi-Modal Conditional Learning. Visual interpretation of the robustness of Non-Negative Associative Gradient Projection Points over function minimizers in mini-batch …
Paper Group ANR 311

Paper Group ANR 311

January 30, 2020

Human eye inspired log-polar pre-processing for neural networks. Solving Continual Combinatorial Selection via Deep Reinforcement Learning. A Simple Explanation for the Existence of Adversarial Examples with Small Hamming Distance. Learning definable hypotheses on trees. A Generalized Framework for Population Based Training. Multi-Modal Citizen Sci …
Paper Group ANR 312

Paper Group ANR 312

January 30, 2020

Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees. Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning. Synchronous Transformers for End-to-End Speech Recognition. The sharp, the flat and the shallow: Can weakly interacting agents learn to escape bad …
Paper Group ANR 313

Paper Group ANR 313

January 30, 2020

Static Analysis for Probabilistic Programs. Walling up Backdoors in Intrusion Detection Systems. A Linear Systems Theory of Normalizing Flows. Distinguishing mirror from glass: A ‘big data’ approach to material perception. Iterative Collaborative Filtering for Sparse Noisy Tensor Estimation. Learning Transferable Features for Speech Emotion Recogni …
Paper Group ANR 314

Paper Group ANR 314

January 30, 2020

Collaborative Filtering and Multi-Label Classification with Matrix Factorization. Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. An Adaptive Stochastic Nesterov Accelerated Quasi Newton Method for Training RNNs. Deep Multi Label Classification in Affine Subspaces. Deep Learning for UL/DL Channel Calibration in Generic Massive …
Paper Group ANR 315

Paper Group ANR 315

January 30, 2020

Automatic Keyboard Layout Design for Low-Resource Latin-Script Languages. Representable Matrices: Enabling High Accuracy Analog Computation for Inference of DNNs using Memristors. Go with the Flow: Perception-refined Physics Simulation. ScieNet: Deep Learning with Spike-assisted Contextual Information Extraction. A Distributed Online Convex Optimiz …
Paper Group ANR 316

Paper Group ANR 316

January 30, 2020

Thwarting finite difference adversarial attacks with output randomization. Real-time Video Summarization on Commodity Hardware. Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation. An Abstraction Model for Semantic Segmentation Algorithms. PProCRC: Probabilistic Collaboration of Image Patches. Comp …
Paper Group ANR 317

Paper Group ANR 317

January 30, 2020

Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting. Evaluating Crowd Density Estimators via Their Uncertainty Bounds. Thompson Sampling with Information Relaxation Penalties. Extension of Convolutional Neural Network with General Image Processing Kernels. Fashion++: Minimal Edits for Outfit Improvement. The Function Representat …
Paper Group ANR 318

Paper Group ANR 318

January 30, 2020

DoPa: A Comprehensive CNN Detection Methodology against Physical Adversarial Attacks. A Closed-Form Learned Pooling for Deep Classification Networks. Interpreting and Evaluating Neural Network Robustness. Construction of Macro Actions for Deep Reinforcement Learning. Discriminative Ridge Machine: A Classifier for High-Dimensional Data or Imbalanced …
Paper Group ANR 319

Paper Group ANR 319

January 30, 2020

Discovery and Separation of Features for Invariant Representation Learning. Structure-preserving Method for Reconstructing Unknown Hamiltonian Systems from Trajectory Data. Modeling somatic computation with non-neural bioelectric networks. Learning from Bandit Feedback: An Overview of the State-of-the-art. Implicit Regularization for Optimal Sparse …
Paper Group ANR 320

Paper Group ANR 320

January 30, 2020

MDFN: Multi-Scale Deep Feature Learning Network for Object Detection. Iterated two-phase local search for the Set-Union Knapsack Problem. Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise. Neuromorphic Acceleration for Approximate Bayesian Inference on Neural Networks via Permanent Dropout. The Optimal Approximation Factor in …
Paper Group ANR 321

Paper Group ANR 321

January 30, 2020

Learning to Flip Successive Cancellation Decoding of Polar Codes with LSTM Networks. Tactile Hallucinations on Artificial Skin Induced by Homeostasis in a Deep Boltzmann Machine. Something’s Brewing! Early Prediction of Controversy-causing Posts from Discussion Features. Convolutional Auto-encoding of Sentence Topics for Image Paragraph Generation. …
Paper Group ANR 322

Paper Group ANR 322

January 30, 2020

Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations. OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization. Sparse inversion for derivative of log determinant. BADAM: A Public Dataset for Baseline Detection in Arabic-script Manuscripts. Robust learning with implicit residual networks. Moti …
Paper Group ANR 323

Paper Group ANR 323

January 30, 2020

Are Adversarial Perturbations a Showstopper for ML-Based CAD? A Case Study on CNN-Based Lithographic Hotspot Detection. Learning Norms from Stories: A Prior for Value Aligned Agents. Deep Learning for Localization in the Lung. Sharp Analysis for Nonconvex SGD Escaping from Saddle Points. Stackelberg Punishment and Bully-Proofing Autonomous Vehicles …
Paper Group ANR 324

Paper Group ANR 324

January 30, 2020

Deep Learning Solutions for TanDEM-X-based Forest Classification. Gram-Gauss-Newton Method: Learning Overparameterized Neural Networks for Regression Problems. Data-generating models under which the random forest algorithm performs badly. ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots. Variational Tracking and Prediction with Generati …
Paper Group ANR 325

Paper Group ANR 325

January 30, 2020

Exascale Deep Learning to Accelerate Cancer Research. Learning Neurosymbolic Generative Models via Program Synthesis. Noisy, Greedy and Not So Greedy k-means++. Community detection in node-attributed social networks: a survey. Analysis of Bias in Gathering Information Between User Attributes in News Application. SFNet: Learning Object-aware Semanti …
Paper Group ANR 326

Paper Group ANR 326

January 30, 2020

Safe Contextual Bayesian Optimization for Sustainable Room Temperature PID Control Tuning. Audio-Visual Kinship Verification. Web data mining for public health purposes. Soft Policy Gradient Method for Maximum Entropy Deep Reinforcement Learning. EM-like Learning Chaotic Dynamics from Noisy and Partial Observations. Statistical EL is ExpTime-comple …