Bayesian Inference

Paper Group ANR 798

January 28, 2020

Applications of Nature-Inspired Algorithms for Dimension Reduction: Enabling Efficient Data Analytics. Simultaneous Detection and Removal of Dynamic Objects in Multi-view Images. Training Object Detectors from Few Weakly-Labeled and Many Unlabeled Images. Modeling Vocabulary for Big Code Machine Learning. Playing a Strategy Game with Knowledge-Base …

Paper Group ANR 801

January 28, 2020

The Ant Swarm Neuro-Evolution Procedure for Optimizing Recurrent Networks. Few-shot Adaptive Faster R-CNN. Semi-Supervised Multitask Learning on Multispectral Satellite Images Using Wasserstein Generative Adversarial Networks (GANs) for Predicting Poverty. Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems. Improvin …

Paper Group ANR 803

January 28, 2020

Confidence intervals for class prevalences under prior probability shift. A New Few-shot Segmentation Network Based on Class Representation. Deep Probabilistic Surrogate Networks for Universal Simulator Approximation. Universal Marginaliser for Deep Amortised Inference for Probabilistic Programs. Virtual Piano using Computer Vision. Strengthening t …

Paper Group ANR 813

January 28, 2020

Concepts and Applications of Conformal Prediction in Computational Drug Discovery. Sparse hierarchical representation learning on molecular graphs. Statistical and machine learning ensemble modelling to forecast sea surface temperature. Exploiting Temporality for Semi-Supervised Video Segmentation. Action Anticipation for Collaborative Environments …

Paper Group ANR 815

January 28, 2020

Deep Learning based Cephalometric Landmark Identification using Landmark-dependent Multi-scale Patches. PILS: Exploring high-order neighborhoods by pattern mining and injection. Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving. A novel classification-selection approach for the self updating of template-based face recognition syst …

Paper Group ANR 817

January 28, 2020

3D Dense Face Alignment via Graph Convolution Networks. Schema Matching using Machine Learning. Analyzing the Interpretability Robustness of Self-Explaining Models. Synaptic Delays for Temporal Feature Detection in Dynamic Neuromorphic Processors. Asymmetric Impurity Functions, Class Weighting, and Optimal Splits for Binary Classification Trees. ba …

Paper Group ANR 819

January 28, 2020

What is this Article about? Extreme Summarization with Topic-aware Convolutional Neural Networks. DSIC: Deep Stereo Image Compression. Human Perceptual Evaluations for Image Compression. Joint embedding of structure and features via graph convolutional networks. Multiphase flow prediction with deep neural networks. Combining Model and Parameter Unc …

Paper Group ANR 839

January 28, 2020

Performance Analysis and Dynamic Evolution of Deep Convolutional Neural Network for Nonlinear Inverse Scattering. An Argument-Marker Model for Syntax-Agnostic Proto-Role Labeling. Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement. When and Why Metaheuristics Researchers Can Ignore “No Free Lunch” Theorems. PoD: Positi …

Paper Group ANR 840

January 28, 2020

Analysis of Chinese Tourists in Japan by Text Mining of a Hotel Portal Site. Spatial and Temporal Consistency-Aware Dynamic Adaptive Streaming for 360-Degree Videos. Eigen Artificial Neural Networks. Data Poisoning Attacks on Stochastic Bandits. Regularization Shortcomings for Continual Learning. Sensor Fusion for Joint 3D Object Detection and Sema …

Paper Group ANR 861

January 28, 2020

OtoMechanic: Auditory Automobile Diagnostics via Query-by-Example. Questions to Guide the Future of Artificial Intelligence Research. Optimal Function Approximation with Relu Neural Networks. Adversarial Analysis of Natural Language Inference Systems. Inferring and Improving Street Maps with Data-Driven Automation. Weakly-Supervised Completion Mome …

Paper Group ANR 876

January 28, 2020

Examining the Capability of GANs to Replace Real Biomedical Images in Classification Models Training. ÆTHEL: Automatically Extracted Typelogical Derivations for Dutch. Online Predictive Optimization Framework for Stochastic Demand-Responsive Transit Services. Blang: Bayesian declarative modelling of arbitrary data structures. SymNet: Symmetrical Fi …

Paper Group ANR 949

January 28, 2020

Retinal Vessels Segmentation Based on Dilated Multi-Scale Convolutional Neural Network. Prediction Uncertainty Estimation for Hate Speech Classification. Behavior Gated Language Models. It GAN DO Better: GAN-based Detection of Objects on Images with Varying Quality. Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and T …

Paper Group ANR 952

January 28, 2020

Backprop Diffusion is Biologically Plausible. Real-time Multiple People Hand Localization in 4D Point Clouds. DeepJSCC-f: Deep Joint-Source Channel Coding of Images with Feedback. A Hamilton-Jacobi Reachability-Based Framework for Predicting and Analyzing Human Motion for Safe Planning. Quantum Latent Semantic Analysis. Parity Models: A General Fra …

Paper Group ANR 973

January 28, 2020

Quantile Propagation for Wasserstein-Approximate Gaussian Processes. A Novel Multiple Classifier Generation and Combination Framework Based on Fuzzy Clustering and Individualized Ensemble Construction. Scene and Environment Monitoring Using Aerial Imagery and Deep Learning. A Stable Nuclear Future? The Impact of Autonomous Systems and Artificial In …

Paper Group ANR 988

January 28, 2020

Using Quantifier Elimination to Enhance the Safety Assurance of Deep Neural Networks. Privacy is What We Care About: Experimental Investigation of Federated Learning on Edge Devices. Estimation of Spectral Risk Measures. Generating an Explainable ECG Beat Space With Variational Auto-Encoders. SchrödingeRNN: Generative Modeling of Raw Audio as a Con …

Paper Group ANR 993

January 28, 2020

Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks. Emotion Classification in Response to Tactile Enhanced Multimedia using Frequency Domain Features of Brain Signals. Class-dependent Compression of Deep Neural Networks. Simultaneous Feature Aggregating and Hashing for Compact Binary Code Learning. Radiological imag …

Paper Group ANR 1086

January 27, 2020

VITAMIN-E: VIsual Tracking And MappINg with Extremely Dense Feature Points. Energy-Based Continuous Inverse Optimal Control. AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data. Neural Network Based Parameter Estimation Method for the Pareto/NBD Model. Compressing GANs using Knowledge Distillation. …

Paper Group ANR 1088

January 27, 2020

Convergence Rates of Gradient Descent and MM Algorithms for Generalized Bradley-Terry Models. Geodesic Distance Estimation with Spherelets. Analysis of high-dimensional Continuous Time Markov Chains using the Local Bouncy Particle Sampler. Differentiable Algorithm Networks for Composable Robot Learning. Universal Transforming Geometric Network. Rel …

Paper Group ANR 1091

January 27, 2020

Bayesian causal inference via probabilistic program synthesis. Visual Confusion Label Tree For Image Classification. Efficient Toxicity Prediction via Simple Features Using Shallow Neural Networks and Decision Trees. Learning to Rank Broad and Narrow Queries in E-Commerce. Amortized Rejection Sampling in Universal Probabilistic Programming. Princip …

Paper Group ANR 1092

January 27, 2020

Brain Network Construction and Classification Toolbox (BrainNetClass). Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale. Revealing posturographic features associated with the risk of falling in patients with Parkinsonian syndromes via machine learning. Learning High-fidelity Light Field Images From Hybrid Inputs. ArduC …

Paper Group ANR 1101

January 27, 2020

Dynamical Triangulation Induced by Quantum Walk. Transition Subspace Learning based Least Squares Regression for Image Classification. Joint Detection of Malicious Domains and Infected Clients. SVM-based Deep Stacking Networks. Action Modifiers: Learning from Adverbs in Instructional Videos. Design of optical neural networks with component imprecis …

Paper Group ANR 1102

January 27, 2020

The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure For Least Squares. Column generation for the discrete Unit Commitment problem with min-stop ramping constraints. Automated Circuit Approximation Method Driven by Data Distribution. Deep Bayesian Unsupervised Source Separation Based on a Complex Gaussian Mixture …

Paper Group ANR 1128

January 27, 2020

Automatically Generating Macro Research Reports from a Piece of News. PipeMare: Asynchronous Pipeline Parallel DNN Training. Inferring the Optimal Policy using Markov Chain Monte Carlo. Walsh-Hadamard Variational Inference for Bayesian Deep Learning. How does Grammatical Gender Affect Noun Representations in Gender-Marking Languages?. LO-Net: Deep …

Paper Group ANR 1130

January 27, 2020

Memory Integrity of CNNs for Cross-Dataset Facial Expression Recognition. Few-Shot Bayesian Imitation Learning with Logical Program Policies. Extracting urban water by combining deep learning and Google Earth Engine. Disentangling Style and Content in Anime Illustrations. Gaining Extra Supervision via Multi-task learning for Multi-Modal Video Quest …

Paper Group ANR 1139

January 27, 2020

Social Influence-based Attentive Mavens Mining and Aggregative Representation Learning for Group Recommendation. Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Sparse Reward Environments. A Specialized Evolutionary Strategy Using Mean Absolute Error Random Sampling to Design Recurrent Neural Networks. Performanc …

Paper Group ANR 1156

January 27, 2020

Spiking neural networks trained with backpropagation for low power neuromorphic implementation of voice activity detection. Deep Learning Based Video System for Accurate and Real-Time Parking Measurement. Analysis and development of an automatic eCall for motorcycles: a one-class cepstrum approach. Multiplicative modulations in hue-selective cells …

Paper Group ANR 1157

January 27, 2020

One-Way Prototypical Networks. A Weakly Supervised Method for Instance Segmentation of Biological Cells. Learning Radiative Transfer Models for Climate Change Applications in Imaging Spectroscopy. Simple, Fast, Accurate Intent Classification and Slot Labeling for Goal-Oriented Dialogue Systems. The Trustworthy Pal: Controlling the False Discovery R …

Paper Group ANR 1165

January 27, 2020

Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design. Deep Sparse Band Selection for Hyperspectral Face Recognition. Visualizing and Understanding Generative Adversarial Networks (Extended Abstract). Interpretable BoW Networks for Adversarial Example Detection. Rescaling and other forms of unsupervised preprocessing introdu …