Model Selection

Paper Group ANR 964

January 28, 2020

On approximating dropout noise injection. MTRNet: A Generic Scene Text Eraser. Robust Feature-Based Point Registration Using Directional Mixture Model. Neural-networks for geophysicists and their application to seismic data interpretation. Multiple Kernel Learning from $U$-Statistics of Empirical Measures in the Feature Space. Improving sample dive …

Paper Group ANR 972

January 28, 2020

The Performance of Machine and Deep Learning Classifiers in Detecting Zero-Day Vulnerabilities. On Space-spectrum Uncertainty Analysis for Coded Aperture Systems. CNN-based Semantic Segmentation using Level Set Loss. Contrast Optimization And Local Adaptation (COALA) for HDR Compression. DAWN: Dual Augmented Memory Network for Unsupervised Video Ob …

Paper Group ANR 999

January 28, 2020

Increasing the Generalisation Capacity of Conditional VAEs. Unsupervised Question Answering by Cloze Translation. A Comparative Analysis of the Optimization and Generalization Property of Two-layer Neural Network and Random Feature Models Under Gradient Descent Dynamics. Cross-Modal Data Programming Enables Rapid Medical Machine Learning. Plain Eng …

Paper Group ANR 1119

January 27, 2020

Revisiting Wedge Sampling for Budgeted Maximum Inner Product Search. Causal inference with Bayes rule. Exploring Semi-supervised Variational Autoencoders for Biomedical Relation Extraction. Fast Bayesian Uncertainty Estimation of Batch Normalized Single Image Super-Resolution Network. Automated detection of celiac disease on duodenal biopsy slides: …

Paper Group ANR 1124

January 27, 2020

Stealing Knowledge from Protected Deep Neural Networks Using Composite Unlabeled Data. A Human-in-the-loop Framework to Construct Context-dependent Mathematical Formulations of Fairness. Learning Probabilities: Towards a Logic of Statistical Learning. Adversarial Training Can Hurt Generalization. BenchCouncil’s View on Benchmarking AI and Other Eme …

Paper Group ANR 1154

January 27, 2020

Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models. Ordinal Regression as Structured Classification. Increasing Shape Bias in ImageNet-Trained Networks Using Transfer Learning and Domain-Adversarial Methods. Controlling for Biasing Signals in Images for Prognostic Models: Survival Predictions for Lung …

Paper Group ANR 1158

January 27, 2020

Data augmentation for low resource sentiment analysis using generative adversarial networks. The excluded area of two-dimensional hard particles. Efficient video indexing for monitoring disease activity and progression in the upper gastrointestinal tract. TreeCaps: Tree-Structured Capsule Networks for Program Source Code Processing. Cross-Lingual S …

Paper Group ANR 1161

January 27, 2020

Dialog State Tracking with Reinforced Data Augmentation. Deep Weisfeiler-Lehman Assignment Kernels via Multiple Kernel Learning. SPair-71k: A Large-scale Benchmark for Semantic Correspondence. Optimized Preprocessing and Machine Learning for Quantitative Raman Spectroscopy in Biology. Self-Training for End-to-End Speech Recognition. Expressing Visu …

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 …

Paper Group ANR 1172

January 27, 2020

Improving Neural Protein-Protein Interaction Extraction with Knowledge Selection. Self-supervised learning for autonomous vehicles perception: A conciliation between analytical and learning methods. Measuring the intelligence of an idealized mechanical knowing agent. Incorporating Symbolic Sequential Modeling for Speech Enhancement. Identify treatm …

Paper Group ANR 1181

January 27, 2020

Rank Aggregation via Heterogeneous Thurstone Preference Models. 3D Rigid Motion Segmentation with Mixed and Unknown Number of Models. Learning to estimate label uncertainty for automatic radiology report parsing. Learning from a Teacher using Unlabeled Data. Video Stitching for Linear Camera Arrays. Information in Infinite Ensembles of Infinitely-W …

Paper Group ANR 1209

January 27, 2020

Optimal PAC-Bayesian Posteriors for Stochastic Classifiers and their use for Choice of SVM Regularization Parameter. Trans-Sense: Real Time Transportation Schedule Estimation Using Smart Phones. Complexity of Stochastic Dual Dynamic Programming. Reduced network extremal ensemble learning (RenEEL) scheme for community detection in complex networks. …

Paper Group ANR 1223

January 27, 2020

LayoutVAE: Stochastic Scene Layout Generation From a Label Set. Legal entity recognition in an agglutinating language and document connection network for EU Legislation and EU/Hungarian Case Law. Types for Parallel Complexity in the Pi-calculus. Word Embedding Visualization Via Dictionary Learning. Faster and Safer Training by Embedding High-Level …

Paper Group ANR 1277

January 27, 2020

Data Smashing 2.0: Sequence Likelihood (SL) Divergence For Fast Time Series Comparison. Empirical Evaluation of Sequence-to-Sequence Models for Word Discovery in Low-resource Settings. Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series. Multi-Task Bidirectional Transformer Representations for Irony De …

Paper Group ANR 1323

January 27, 2020

Aesthetics of Neural Network Art. Road-network-based Rapid Geolocalization. Convolutional Neural Networks for Speech Controlled Prosthetic Hands. Generalisation in fully-connected neural networks for time series forecasting. General Method for Prime-point Cyclic Convolution over the Real Field. Automated Model Selection with Bayesian Quadrature. Ca …

Paper Group ANR 1332

January 27, 2020

On the Minimax Optimality of Estimating the Wasserstein Metric. Soft-ranking Label Encoding for Robust Facial Age Estimation. Customizing Pareto Simulated Annealing for Multi-objective Optimization of Control Cabinet Layout. Truck Traffic Monitoring with Satellite Images. ViewSynth: Learning Local Features from Depth using View Synthesis. Fast Mult …

Paper Group ANR 1342

January 27, 2020

X-TrainCaps: Accelerated Training of Capsule Nets through Lightweight Software Optimizations. Learning Algorithmic Solutions to Symbolic Planning Tasks with a Neural Computer. Identifying Patient Groups based on Frequent Patterns of Patient Samples. Few-Shot Learning with Embedded Class Models and Shot-Free Meta Training. Mixed-Precision Quantized …

Paper Group ANR 1365

January 26, 2020

Cooperative Pathfinding based on high-scalability Multi-agent RRT*. Instance-Level Microtubule Tracking. Recombination of Artificial Neural Networks. A high performance computing method for accelerating temporal action proposal generation. A Framework for Explainable Text Classification in Legal Document Review. RL-RRT: Kinodynamic Motion Planning …

Paper Group ANR 1394

January 26, 2020

Information criteria for non-normalized models. Adaptive Embedding Gate for Attention-Based Scene Text Recognition. Music Transcription Based on Bayesian Piece-Specific Score Models Capturing Repetitions. Grounding Language Attributes to Objects using Bayesian Eigenobjects. Positive-Unlabeled Reward Learning. Fusing Visual, Textual and Connectivity …

Paper Group ANR 1398

January 26, 2020

CN-CELEB: a challenging Chinese speaker recognition dataset. Deep Learning in Video Multi-Object Tracking: A Survey. Neural Language Model for Automated Classification of Electronic Medical Records at the Emergency Room. The Significant Benefit of Unsupervised Generative Pre-training. On Distance and Kernel Measures of Conditional Independence. Fac …

Paper Group ANR 1407

January 26, 2020

Non-Differentiable Supervised Learning with Evolution Strategies and Hybrid Methods. H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions. Self-supervised Learning for Single View Depth and Surface Normal Estimation. Machine Vision in the Context of Robotics: A Systematic Literature Review. Knowledge Graph Development for Ap …

Paper Group ANR 1428

January 26, 2020

Computationally Efficient Neural Image Compression. Differential Description Length for Hyperparameter Selection in Machine Learning. Electroencephalogram (EEG) for Delineating Objective Measure of Autism Spectrum Disorder (ASD) (Extended Version). Domain Adaptive Dialog Generation via Meta Learning. ACUTE-EVAL: Improved Dialogue Evaluation with Op …

Paper Group ANR 1432

January 26, 2020

Recovering Faces from Portraits with Auxiliary Facial Attributes. Cost-Sensitive Feature Selection by Optimizing F-Measures. A Test for Shared Patterns in Cross-modal Brain Activation Analysis. Evolving Gaussian Process kernels from elementary mathematical expressions. Current Trends in the Use of Eye Tracking in Mathematics Education Research: A P …

Paper Group ANR 1459

January 26, 2020

DeepCloud. The Application of a Data-driven, Generative Model in Design. Order Acceptance and Scheduling with Sequence-dependent Setup Times: a New Memetic Algorithm and Benchmark of the State of the Art. PEA265: Perceptual Assessment of Video Compression Artifacts. Neural-Symbolic Argumentation Mining: an Argument in Favor of Deep Learning and Rea …

Paper Group ANR 1491

January 26, 2020

Character Keypoint-based Homography Estimation in Scanned Documents for Efficient Information Extraction. Inferring Occluded Geometry Improves Performance when Retrieving an Object from Dense Clutter. No Spurious Local Minima in Deep Quadratic Networks. An Image Fusion Scheme for Single-Shot High Dynamic Range Imaging with Spatially Varying Exposur …

Paper Group ANR 1515

January 26, 2020

Learning to Forget for Meta-Learning. Cross-Modal Image Fusion Theory Guided by Subjective Visual Attention. Slow Feature Analysis for Human Action Recognition. SALT: Subspace Alignment as an Auxiliary Learning Task for Domain Adaptation. Wyner VAE: Joint and Conditional Generation with Succinct Common Representation Learning. Power Gradient Descen …

Paper Group ANR 1516

January 26, 2020

Contextual Bandits with Random Projection. Extending Signature-based Intrusion Detection Systems WithBayesian Abductive Reasoning. Grid Anchor based Image Cropping: A New Benchmark and An Efficient Model. Syntax-aware Neural Semantic Role Labeling with Supertags. Training Neural Machine Translation (NMT) Models using Tensor Train Decomposition on T …

Paper Group ANR 1517

January 26, 2020

Deep Convolutional Neural Network for Automated Detection of Mind Wandering using EEG Signals. ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System. Machine Learning for Seizure Type Classification: Setting the benchmark. Towards Self-constructive Artificial Intelligence: Algorithmic basis (Part I). Clustering and Recogniti …